Resources
It is the ambition to publish the scientific results at relevant scientific conference and in International peer-reviewed journals in the field. It is also the intention to share project deliverables openly, when relevant, and to produce material that may give further insight into our work. Please note that authors, organizations and publishers maintain their intellectual rights to the material shared here.
Publications
2018 |
Lopez, Raul Sanchez; Bianchi, Federica; Fereczkowski, Michal; Santurette, Sébastien; Dau, Torsten Data-Driven Approach for Auditory Profiling and Characterization of Individual Hearing Loss Journal Article Trends of Hearing, 22 (ISAAR special issue), pp. 1-12, 2018. @article{TiH2018a, title = {Data-Driven Approach for Auditory Profiling and Characterization of Individual Hearing Loss}, author = {Raul Sanchez Lopez and Federica Bianchi and Michal Fereczkowski and Sébastien Santurette and Torsten Dau}, url = {https://journals.sagepub.com/doi/pdf/10.1177/2331216518807400}, doi = {10.1177/2331216518807400}, year = {2018}, date = {2018-11-01}, journal = {Trends of Hearing}, volume = {22}, number = {ISAAR special issue}, pages = {1-12}, abstract = {Pure-tone audiometry still represents the main measure to characterize individual hearing loss and the basis for hearing-aid fitting. However, the perceptual consequences of hearing loss are typically associated not only with a loss of sensitivity but also with a loss of clarity that is not captured by the audiogram. A detailed characterization of a hearing loss may be complex and needs to be simplified to efficiently explore the specific compensation needs of the individual listener. Here, it is hypothesized that any listener’s hearing profile can be characterized along two dimensions of distortion: Type I and Type II. While Type I can be linked to factors affecting audibility, Type II reflects non-audibility-related distortions. To test this hypothesis, the individual performance data from two previous studies were reanalyzed using an unsupervised-learning technique to identify extreme patterns in the data, thus forming the basis for different auditory profiles. Next, a decision tree was determined to classify the listeners into one of the profiles. The analysis provides evidence for the existence of four profiles in the data. The most significant predictors for profile identification were related to binaural processing, auditory nonlinearity, and speech-in-noise perception. This approach could be valuable for analyzing other data sets to select the most relevant tests for auditory profiling and propose more efficient hearing-deficit compensation strategies.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Pure-tone audiometry still represents the main measure to characterize individual hearing loss and the basis for hearing-aid fitting. However, the perceptual consequences of hearing loss are typically associated not only with a loss of sensitivity but also with a loss of clarity that is not captured by the audiogram. A detailed characterization of a hearing loss may be complex and needs to be simplified to efficiently explore the specific compensation needs of the individual listener. Here, it is hypothesized that any listener’s hearing profile can be characterized along two dimensions of distortion: Type I and Type II. While Type I can be linked to factors affecting audibility, Type II reflects non-audibility-related distortions. To test this hypothesis, the individual performance data from two previous studies were reanalyzed using an unsupervised-learning technique to identify extreme patterns in the data, thus forming the basis for different auditory profiles. Next, a decision tree was determined to classify the listeners into one of the profiles. The analysis provides evidence for the existence of four profiles in the data. The most significant predictors for profile identification were related to binaural processing, auditory nonlinearity, and speech-in-noise perception. This approach could be valuable for analyzing other data sets to select the most relevant tests for auditory profiling and propose more efficient hearing-deficit compensation strategies. |
Sanchez-Lopez, Raul; Bianchi, Federica; Fereczkowski, Michal; Piechowiak, Tobias; Hau, Ole; Pedersen, Michael Syskind; Behrens, Thomas; Neher, Tobias; Dau, Torsten; Santurette, Sébastien Technical evaluation of hearing-aid fitting parameters for different auditory profiles Conference In Proceedings of Euronoise 2018, Crete, Greece, 27-31 May 2018, pp. 381-388, 2018, ISSN: 2226-5147. @conference{euronoise2018, title = {Technical evaluation of hearing-aid fitting parameters for different auditory profiles}, author = {Raul Sanchez-Lopez and Federica Bianchi and Michal Fereczkowski and Tobias Piechowiak and Ole Hau and Michael Syskind Pedersen and Thomas Behrens and Tobias Neher and Torsten Dau and Sébastien Santurette}, url = {http://www.euronoise2018.eu/component/contentbuilder/details/10/83/euronoise-2018-technical-evaluation-of-hearing-aid-fitting-parameters-for-different-auditory-profiles?Itemid=259}, issn = { 2226-5147}, year = {2018}, date = {2018-05-30}, booktitle = {In Proceedings of Euronoise 2018, Crete, Greece, 27-31 May 2018, pp. 381-388}, abstract = {Hearing-aid users have reported an increased satisfaction since digital technology and advanced signal processing became available in hearing aids. However, many users still experience difficulties in noisy environments and in complex listening scenarios. Although numerous parameters can be adjusted to provide an individualized hearing solution, hearing-aid fitting currently consists of: 1) the gain prescription and adjustment based on the pure-tone audiogram, 2) the activation of advanced features on-demand, such as beamforming and noise reduction. In a previous study [1], a novel approach for auditory profiling was suggested, where the hearing deficits were characterized according to two types of distortion. This allowed the classification of listeners into four auditory profiles according to a high/low degree of hearing distortions along the two dimensions. The aim of the present study was to evaluate different hearing-aid compensation strategies that may fit the needs of different auditory profiles via technical measures. A hearing-aid simulator, consisting of beamforming, noise reduction, and dynamic range compression, was used to test which parameter spaces and outcome measures may be of interest for a “profile-based hearing-aid fitting”. The simulator consists of two dummy behind-the-ear hearing aids and off-line sound processing performed on a personal computer. Technical measures, such as signal-to-noise ratio (SNR) improvement, envelope degradation, and a metric of spectral distortions, were used to evaluate the effects of different signal processing strategies on the signal at the output of the simulator. Several parameter settings were evaluated using speech in the presence of various interferers at different SNRs. Here, the results of this technical evaluation are presented and discussed, with a view towards identifying the effective compensation strategies for different auditory profiles.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Hearing-aid users have reported an increased satisfaction since digital technology and advanced signal processing became available in hearing aids. However, many users still experience difficulties in noisy environments and in complex listening scenarios. Although numerous parameters can be adjusted to provide an individualized hearing solution, hearing-aid fitting currently consists of: 1) the gain prescription and adjustment based on the pure-tone audiogram, 2) the activation of advanced features on-demand, such as beamforming and noise reduction. In a previous study [1], a novel approach for auditory profiling was suggested, where the hearing deficits were characterized according to two types of distortion. This allowed the classification of listeners into four auditory profiles according to a high/low degree of hearing distortions along the two dimensions. The aim of the present study was to evaluate different hearing-aid compensation strategies that may fit the needs of different auditory profiles via technical measures. A hearing-aid simulator, consisting of beamforming, noise reduction, and dynamic range compression, was used to test which parameter spaces and outcome measures may be of interest for a “profile-based hearing-aid fitting”. The simulator consists of two dummy behind-the-ear hearing aids and off-line sound processing performed on a personal computer. Technical measures, such as signal-to-noise ratio (SNR) improvement, envelope degradation, and a metric of spectral distortions, were used to evaluate the effects of different signal processing strategies on the signal at the output of the simulator. Several parameter settings were evaluated using speech in the presence of various interferers at different SNRs. Here, the results of this technical evaluation are presented and discussed, with a view towards identifying the effective compensation strategies for different auditory profiles. |
2017 |
van Hauen, Sigurd Møller; Rukjær, Andreas Harbo; Ordoñez, Rodrigo; Hammershøi, Dorte Estimating auditory filter bandwidth using distortion product otoacoustic emissions Inproceedings Santurette, S; Dau, T; C-Dalsgaard, J; Tranebjærg, L; Andersen, T; Poulsen, T (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research: Vol. 6: Adaptive Processes in Hearing, pp. 263-270, The Danavox Jubilee Foundation 2017, ISBN: 978-87-990013-6-1. @inproceedings{SigurdISAAR2017, title = {Estimating auditory filter bandwidth using distortion product otoacoustic emissions}, author = {Sigurd Møller van Hauen and Andreas Harbo Rukjær and Rodrigo Ordoñez and Dorte Hammershøi}, editor = {S Santurette and T Dau and J C-Dalsgaard and L Tranebjærg and T Andersen and T Poulsen}, url = {https://proceedings.isaar.eu/index.php/isaarproc/article/view/2017-32}, isbn = {978-87-990013-6-1}, year = {2017}, date = {2017-08-23}, booktitle = {Proceedings of the International Symposium on Auditory and Audiological Research: Vol. 6: Adaptive Processes in Hearing}, pages = {263-270}, organization = {The Danavox Jubilee Foundation}, abstract = {The basic frequency selectivity in the listener’s hearing is often characterized by auditory filters. These filters are determined through listening tests, which estimate the masking threshold as a function of frequency of the tone and the bandwidth of the masking sound. The auditory filters have been shown to be wider for listeners with sensorineural impairment. In a recent study (Christensen et al., 2017) it was demonstrated on group basis that the distortion product stimulus ratio that provided the strongest 2 f1− f2 component at low frequencies had a strong correlation to the theoretical relation between frequency and auditory filter bandwidth, described by the equivalent rectangular bandwidth (ERB, Glasberg and Moore, 1990). The purpose of the present study is to test whether a similar correlation exists on an individual basis at normal audiometric frequencies. The optimal 2 f1 − f2 DPOAE ratio is determined for stimulus ratios between 1.1 and 1.6, at fixed primary levels (L1/L2 = 65/45 dB SPL). The auditory filters are determined using notched-noise method in a two alternative forced choice experiment with noise levels at 40 dB SPL/Hz. Optimal ratios and auditory filters are determined at 1, 2, and 4 kHz for 10 young normal-hearing subjects.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } The basic frequency selectivity in the listener’s hearing is often characterized by auditory filters. These filters are determined through listening tests, which estimate the masking threshold as a function of frequency of the tone and the bandwidth of the masking sound. The auditory filters have been shown to be wider for listeners with sensorineural impairment. In a recent study (Christensen et al., 2017) it was demonstrated on group basis that the distortion product stimulus ratio that provided the strongest 2 f1− f2 component at low frequencies had a strong correlation to the theoretical relation between frequency and auditory filter bandwidth, described by the equivalent rectangular bandwidth (ERB, Glasberg and Moore, 1990). The purpose of the present study is to test whether a similar correlation exists on an individual basis at normal audiometric frequencies. The optimal 2 f1 − f2 DPOAE ratio is determined for stimulus ratios between 1.1 and 1.6, at fixed primary levels (L1/L2 = 65/45 dB SPL). The auditory filters are determined using notched-noise method in a two alternative forced choice experiment with noise levels at 40 dB SPL/Hz. Optimal ratios and auditory filters are determined at 1, 2, and 4 kHz for 10 young normal-hearing subjects. |
Lopez, Raul Sanchez; Bianchi, Federica; Fereczkowski, Michal; Santurette, Sébastien; Dau, Torsten Data-driven approach for auditory profiling Inproceedings Santurette, S; Dau, T; C-Dalsgaard, J; Tranebjærg, L; Andersen, T; Poulsen, T (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research: Vol. 6: Adaptive Processes in Hearing, pp. 247-254, The Danavox Jubilee Foundation, 2017, ISBN: 978-87-990013-6-1. @inproceedings{820875598dff4bf4b7060bb84277a3b8, title = {Data-driven approach for auditory profiling}, author = {Raul Sanchez Lopez and Federica Bianchi and Michal Fereczkowski and Sébastien Santurette and Torsten Dau}, editor = {S Santurette and T Dau and J C-Dalsgaard and L Tranebjærg and T Andersen and T Poulsen}, url = {http://orbit.dtu.dk/files/140683531/ISAAR17_rsalo.pdf}, isbn = {978-87-990013-6-1}, year = {2017}, date = {2017-01-01}, booktitle = {Proceedings of the International Symposium on Auditory and Audiological Research: Vol. 6: Adaptive Processes in Hearing}, pages = {247-254}, publisher = {The Danavox Jubilee Foundation}, abstract = {Nowadays, the pure-tone audiogram is the main tool used to characterizehearing loss and to fit hearing aids. However, the perceptual consequencesof hearing loss are typically not only associated with a loss of sensitivity, butalso with a clarity loss that is not captured by the audiogram. A detailedcharacterization of hearing loss has to be simplified to efficiently explore thespecific compensation needs of the individual listener. We hypothesized thatany listener’s hearing can be characterized along two dimensions of distortion:type I and type II. While type I can be linked to factors affecting audibility,type II reflects non-audibility-related distortions. To test our hypothesis,the individual performance data from two previous studies were re-analyzedusing an archetypal analysis. Unsupervised learning was used to identifyextreme patterns in the data which form the basis for different auditoryprofiles. Next, a decision tree was determined to classify the listeners intoone of the profiles. The new analysis provides evidence for the existenceof four profiles in the data. The most significant predictors for profileidentification were related to binaural processing, auditory non-linearity andspeech-in-noise perception. The current approach is promising for analyzingother existing data sets in order to select the most relevant tests for auditoryprofiling.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Nowadays, the pure-tone audiogram is the main tool used to characterizehearing loss and to fit hearing aids. However, the perceptual consequencesof hearing loss are typically not only associated with a loss of sensitivity, butalso with a clarity loss that is not captured by the audiogram. A detailedcharacterization of hearing loss has to be simplified to efficiently explore thespecific compensation needs of the individual listener. We hypothesized thatany listener’s hearing can be characterized along two dimensions of distortion:type I and type II. While type I can be linked to factors affecting audibility,type II reflects non-audibility-related distortions. To test our hypothesis,the individual performance data from two previous studies were re-analyzedusing an archetypal analysis. Unsupervised learning was used to identifyextreme patterns in the data which form the basis for different auditoryprofiles. Next, a decision tree was determined to classify the listeners intoone of the profiles. The new analysis provides evidence for the existenceof four profiles in the data. The most significant predictors for profileidentification were related to binaural processing, auditory non-linearity andspeech-in-noise perception. The current approach is promising for analyzingother existing data sets in order to select the most relevant tests for auditoryprofiling. |
2016 |
Hammershøi, Dorte; Ordoñez, Rodrigo; Christensen, Anders Tornvig More robust estimates for DPOAE level at audiometric frequencies Inproceedings Proceedings of the 22nd International Congress on Acoustics, Buenos Aires, Argentina, September 5-9 2016, pp. 1-9, ICA, 2016. @inproceedings{Hammershøi2016, title = {More robust estimates for DPOAE level at audiometric frequencies}, author = {Dorte Hammershøi and Rodrigo Ordoñez and Anders Tornvig Christensen}, url = {http://www.ica2016.org.ar/ica2016proceedings/ica2016/ICA2016-0885.pdf}, year = {2016}, date = {2016-09-05}, booktitle = {Proceedings of the 22nd International Congress on Acoustics, Buenos Aires, Argentina, September 5-9 2016}, number = {885}, pages = {1-9}, publisher = {ICA}, abstract = {Current clinical methods determine 2 f1 − f2 distortion product oto-acoustic emission (DPAOE) levels at discrete frequencies, and often only at the audiometric standard frequencies in order to save time. The measured result is known to be a superposition of at least two components, the generator component originating from a region around the primary f2, and the reflection component from the 2 f1 − f2 site. Distinct interference patterns in high resolution DPOAE data reveal that these two components can be of similar magnitude, and periodically cancel each other entirely. When measurements are made at only few frequencies, there is a risk to find one or more low amplitude measurement, even in a healthy ear with otherwise high emissions. In the present study, data from previous studies measured with a high frequency resolution is used for simulating a better use of measurements at and around the audiometric frequency. A ”local” model of the two component superposition is applied, and the trade-off between measurement time, and robustness of the measure is discussed.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Current clinical methods determine 2 f1 − f2 distortion product oto-acoustic emission (DPAOE) levels at discrete frequencies, and often only at the audiometric standard frequencies in order to save time. The measured result is known to be a superposition of at least two components, the generator component originating from a region around the primary f2, and the reflection component from the 2 f1 − f2 site. Distinct interference patterns in high resolution DPOAE data reveal that these two components can be of similar magnitude, and periodically cancel each other entirely. When measurements are made at only few frequencies, there is a risk to find one or more low amplitude measurement, even in a healthy ear with otherwise high emissions. In the present study, data from previous studies measured with a high frequency resolution is used for simulating a better use of measurements at and around the audiometric frequency. A ”local” model of the two component superposition is applied, and the trade-off between measurement time, and robustness of the measure is discussed. |
Sanchez, Raul H; Dau, Torsten Modeling spectro - temporal modulation perception in normal - hearing listeners Inproceedings Proceedings of Inter-Noise 2016, Hamburg, Germany, August 21-24, 2018, pp. 1729-1740, 2016. @inproceedings{7eefad4dd8644766af1393e54a034dc1, title = {Modeling spectro - temporal modulation perception in normal - hearing listeners}, author = {Raul H. Sanchez and Torsten Dau}, url = {http://pub.dega-akustik.de/IN2016/data/articles/000953.pdf}, year = {2016}, date = {2016-08-24}, booktitle = {Proceedings of Inter-Noise 2016, Hamburg, Germany, August 21-24, 2018}, pages = {1729-1740}, abstract = {Current clinical methods determine 2 f1 − f2 distortion product oto-acoustic emission (DPAOE) levels at discrete frequencies, and often only at the audiometric standard frequencies in order to save time. The measured result is known to be a superposition of at least two components, the generator component originating from a region around the primary f2, and the reflection component from the 2 f1 − f2 site. Distinct interference patterns in high resolution DPOAE data reveal that these two components can be of similar magnitude, and periodically cancel each other entirely. When measurements are made at only few frequencies, there is a risk to find one or more low amplitude measurement, even in a healthy ear with otherwise high emissions. In the present study, data from previous studies measured with a high frequency resolution is used for simulating a better use of measurements at and around the audiometric frequency. A ”local” model of the two component superposition is applied, and the trade-off between measurement time, and robustness of the measure is discussed.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Current clinical methods determine 2 f1 − f2 distortion product oto-acoustic emission (DPAOE) levels at discrete frequencies, and often only at the audiometric standard frequencies in order to save time. The measured result is known to be a superposition of at least two components, the generator component originating from a region around the primary f2, and the reflection component from the 2 f1 − f2 site. Distinct interference patterns in high resolution DPOAE data reveal that these two components can be of similar magnitude, and periodically cancel each other entirely. When measurements are made at only few frequencies, there is a risk to find one or more low amplitude measurement, even in a healthy ear with otherwise high emissions. In the present study, data from previous studies measured with a high frequency resolution is used for simulating a better use of measurements at and around the audiometric frequency. A ”local” model of the two component superposition is applied, and the trade-off between measurement time, and robustness of the measure is discussed. |
Other
2019 |
Wolff, Anne; Schmidt, Jesper Hvass; Houmøller, Sabina Storbjerg; Narne, Vijay; Hougaard, Dan Dupont; Gaihede, Michael; Loquet, Gérard; Hammershøi, Dorte Dansk Selskab for Otorhinolaryngologi, Hoved- & Halskirurgi, årsmøde 25-26 april 2019, 2019. @conference{DSOHH2019, title = {Self-reported Health-related Quality of Life in a cohort of Danish adults with hearing impairment before and after hearing-aid rehabilitation}, author = {Anne Wolff and Jesper Hvass Schmidt and Sabina Storbjerg Houmøller and Vijay Narne and Dan Dupont Hougaard and Michael Gaihede and Gérard Loquet and Dorte Hammershøi}, url = {http://dsohh.dk/wp-content/uploads/2019/04/Program_%C3%A5rsm%C3%B8de2019-1.pdf}, year = {2019}, date = {2019-04-26}, booktitle = {Dansk Selskab for Otorhinolaryngologi, Hoved- & Halskirurgi, årsmøde 25-26 april 2019}, abstract = {Introduction: The 15-Dimension instrument (15D) is a standardized, self-administered, generic questionnaire that provides a profile (D1-15 score) and a single index score (D15-score) as a measure of health-related quality of life (HRQoL) on a scale with a range between zero and one. Moreover, this questionnaire includes a question related to hearing (D3). When completed before and after hearing aid (HA) treatment, this questionnaire assesses the potential benefits of HA treatment on HRQoL. Method: Prospective clinical trial with HA treatment as intervention. The data were collected by means of self-reported questionnaires (15D and a basic health-related questionnaire) before and two months following HA-fitting. The study population (n=1536) comprised of both first time HA users (n=1096) and experienced HA users (n=440) enrolled in the multicenter better hearing rehabilitation (BEAR) project. Results: HA treatment resulted in improved mean score of D3 for both new (∆D3: mean, SD (0.102; 0.19) and experienced (∆D3: mean, SD (0.083; 0.20) HA users following 2 months of HA use. Patients with both “moderate to severe” and “severe” hearing loss, defined by the GBD hearing impairment classification, experienced a significant improvement in D3. Discussion: The study supports that HA usage has a positive effect on HRQoL and that HA treatment results in improved HRQoL when looking at the hearing dimension. Degree of hearing loss alone does not explain the positive effect observed. Therefore, additional parameters need to be studied in order to explain which factors are essential for patients with HL to be able to achieve an improvement of HRQoL following HA-fitting.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Introduction: The 15-Dimension instrument (15D) is a standardized, self-administered, generic questionnaire that provides a profile (D1-15 score) and a single index score (D15-score) as a measure of health-related quality of life (HRQoL) on a scale with a range between zero and one. Moreover, this questionnaire includes a question related to hearing (D3). When completed before and after hearing aid (HA) treatment, this questionnaire assesses the potential benefits of HA treatment on HRQoL. Method: Prospective clinical trial with HA treatment as intervention. The data were collected by means of self-reported questionnaires (15D and a basic health-related questionnaire) before and two months following HA-fitting. The study population (n=1536) comprised of both first time HA users (n=1096) and experienced HA users (n=440) enrolled in the multicenter better hearing rehabilitation (BEAR) project. Results: HA treatment resulted in improved mean score of D3 for both new (∆D3: mean, SD (0.102; 0.19) and experienced (∆D3: mean, SD (0.083; 0.20) HA users following 2 months of HA use. Patients with both “moderate to severe” and “severe” hearing loss, defined by the GBD hearing impairment classification, experienced a significant improvement in D3. Discussion: The study supports that HA usage has a positive effect on HRQoL and that HA treatment results in improved HRQoL when looking at the hearing dimension. Degree of hearing loss alone does not explain the positive effect observed. Therefore, additional parameters need to be studied in order to explain which factors are essential for patients with HL to be able to achieve an improvement of HRQoL following HA-fitting. |
Bisgaard, Nikolai BEAR - A Large Scale Effort to Improve Clinical Practice Conference American Auditory Society's Scientific & Technology Meeting, February 28 - March 2, 2019, Scottsdale, Arizona, US., 2019. @conference{AAS2019, title = {BEAR - A Large Scale Effort to Improve Clinical Practice}, author = {Nikolai Bisgaard}, url = {https://aas.memberclicks.net/assets/2019_FINAL_PROGRAM.pdf}, year = {2019}, date = {2019-03-02}, booktitle = {American Auditory Society's Scientific & Technology Meeting, February 28 - March 2, 2019, Scottsdale, Arizona, US.}, abstract = {A large scale study on clinical practices and hearing aid fitting has been started in Denmark in 2016 with aim of achieving better precision in fitting and creating new improved clinical guidelines. This $ 7.5 mill. program is a joint effort by 3 Universities, 3 Danish University Hospitals, 3 Danish hearing aid manufactures and the Danish certification laboratory. The program has three phases. The first phase has three focus areas: Acquisition of 2000 patients as a reference set using current clinical practices, development of improved outcome assessment and patient profiling and new signal processing strategies adapted to the more detailed profiling. Phase two centers on validation of the new strategies, studies on subpopulations with low benefit and development of a new efficient clinical strategy. Phase three includes studies on patient driven diagnostics and fitting and revising standards for clinical practice. The presentation will give an overview of the program as well as some of the first results.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } A large scale study on clinical practices and hearing aid fitting has been started in Denmark in 2016 with aim of achieving better precision in fitting and creating new improved clinical guidelines. This $ 7.5 mill. program is a joint effort by 3 Universities, 3 Danish University Hospitals, 3 Danish hearing aid manufactures and the Danish certification laboratory. The program has three phases. The first phase has three focus areas: Acquisition of 2000 patients as a reference set using current clinical practices, development of improved outcome assessment and patient profiling and new signal processing strategies adapted to the more detailed profiling. Phase two centers on validation of the new strategies, studies on subpopulations with low benefit and development of a new efficient clinical strategy. Phase three includes studies on patient driven diagnostics and fitting and revising standards for clinical practice. The presentation will give an overview of the program as well as some of the first results. |
Wolff, Anne; Houmøller, Sabina Storbjerg; Loquet, Gérard; Schmidt, Jesper Hvass; Narne, Vjay; Gaihede, Michael; Hougaard, Dan Dupont; Hammershøi, Dorte Annual midwinter meeting in the Associated for Research in Otolaryngology (Book of Abstracts), 42 (PD 163), 2019. @conference{ARO2019, title = {The Better Hearing Rehabilitation (BEAR) Study in Denmark. Study Population Characteristics and Perspectives}, author = {Anne Wolff and Sabina Storbjerg Houmøller and Gérard Loquet and Jesper Hvass Schmidt and Vjay Narne and Michael Gaihede and Dan Dupont Hougaard and Dorte Hammershøi}, url = {https://cdn.ymaws.com/www.aro.org/resource/resmgr/mwm2019/2019_aro_mwm_abstracts_final.pdf}, year = {2019}, date = {2019-02-13}, booktitle = {Annual midwinter meeting in the Associated for Research in Otolaryngology (Book of Abstracts)}, volume = {42}, number = {PD 163}, pages = {719}, abstract = {A recent report from WHO noted that 360 million people in the world have hearing loss. Despite efforts to provide hearing aids (HA) to people in need, hearing loss remains an unmet need. In Denmark, for example, 20% of HA owners do not use their HA regularly which results in wasted clinical resources and a lack of rehabilitation. To improve the treatment, we propose to revise diagnostic techniques and HA fitting practices based on individual hearing profiles, set of expectations, and lifestyles. To achieve this, a cooperative project “BEAR” has been launched between three national universities, three hospitals, and the HA industry in Denmark. This resulted in the building of a database of over 30,000 patient records, collected by two audiologic departments (Aalborg and Odense, Denmark), from January 2017 until April 2018 from 1,963 hearing impaired patients. Data obtained describe procedures which are currently used in clinical audiology across Denmark and allow to explore which measures are available for each patient and what type of HA fitting they have received. Records consisted of audiometric data (air and bone conduction, uncomfortable levels, speech reception thresholds speech discrimination scores, stapedius reflex and tympanometry, Tinnitus Handicap Inventory), quality of life evaluation using questionnaires (health related quality of life [15-D], Health Related Questionnaires, Charlson Comorbidity Index), HA outcome measures using questionnaires (Speech, Spatial and Qualities of Hearing scale [SSQ-12], International Outcome Inventory for Hearing Aids [IOI-HA]) and HA fitting data (HA types, log data, fitting rationale and real-ear measurements). The database has a gender ratio of 126 males for 100 females, a mean age at 67 years (range from 19 to 100 years) and a mean hearing threshold in the better hearing ear of 40 dB HL (four frequencies average). 71.9 percent of the patients are first time HA users, as against 28.1 percent for patients with previous HA experience. Preliminary analyses show on average significant improvement in hearing abilities with HA (from IOI-HA and SSQ-12). However, substantial number of participants (18%) did not derive enough benefit from HA. Further analysis will be directed towards finding the possible reasons and grouping the participants based on HA benefit, demographic and audiological data. This will enable us to identify the areas, among contemporary standard examinations and hearing fitting strategies, which would be relevant to explore, change or further develop to provide a better HA fitting and thereby a greater user satisfaction.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } A recent report from WHO noted that 360 million people in the world have hearing loss. Despite efforts to provide hearing aids (HA) to people in need, hearing loss remains an unmet need. In Denmark, for example, 20% of HA owners do not use their HA regularly which results in wasted clinical resources and a lack of rehabilitation. To improve the treatment, we propose to revise diagnostic techniques and HA fitting practices based on individual hearing profiles, set of expectations, and lifestyles. To achieve this, a cooperative project “BEAR” has been launched between three national universities, three hospitals, and the HA industry in Denmark. This resulted in the building of a database of over 30,000 patient records, collected by two audiologic departments (Aalborg and Odense, Denmark), from January 2017 until April 2018 from 1,963 hearing impaired patients. Data obtained describe procedures which are currently used in clinical audiology across Denmark and allow to explore which measures are available for each patient and what type of HA fitting they have received. Records consisted of audiometric data (air and bone conduction, uncomfortable levels, speech reception thresholds speech discrimination scores, stapedius reflex and tympanometry, Tinnitus Handicap Inventory), quality of life evaluation using questionnaires (health related quality of life [15-D], Health Related Questionnaires, Charlson Comorbidity Index), HA outcome measures using questionnaires (Speech, Spatial and Qualities of Hearing scale [SSQ-12], International Outcome Inventory for Hearing Aids [IOI-HA]) and HA fitting data (HA types, log data, fitting rationale and real-ear measurements). The database has a gender ratio of 126 males for 100 females, a mean age at 67 years (range from 19 to 100 years) and a mean hearing threshold in the better hearing ear of 40 dB HL (four frequencies average). 71.9 percent of the patients are first time HA users, as against 28.1 percent for patients with previous HA experience. Preliminary analyses show on average significant improvement in hearing abilities with HA (from IOI-HA and SSQ-12). However, substantial number of participants (18%) did not derive enough benefit from HA. Further analysis will be directed towards finding the possible reasons and grouping the participants based on HA benefit, demographic and audiological data. This will enable us to identify the areas, among contemporary standard examinations and hearing fitting strategies, which would be relevant to explore, change or further develop to provide a better HA fitting and thereby a greater user satisfaction. |
2018 |
Lopez, Raul Sanchez Towards a profile-based hearing-aid fitting Conference Hearing Systems Presentation Day, DTU, Kgs. Lyngby, Denmark, 12 Oct 2018., 2018. @conference{DTU2018a, title = {Towards a profile-based hearing-aid fitting}, author = {Raul Sanchez Lopez}, year = {2018}, date = {2018-10-12}, booktitle = {Hearing Systems Presentation Day, DTU, Kgs. Lyngby, Denmark, 12 Oct 2018.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Nielsen, Jens Bo A test battery for predicting the real-life performance of hearing aid Conference Hearing Systems Presentation Day, DTU, Kgs. Lyngby, Denmark, 12 Oct 2018., 2018. @conference{DTU2018b, title = {A test battery for predicting the real-life performance of hearing aid}, author = {Jens Bo Nielsen}, year = {2018}, date = {2018-10-12}, booktitle = {Hearing Systems Presentation Day, DTU, Kgs. Lyngby, Denmark, 12 Oct 2018.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Hammershøi, Dorte Update på BEAR projektet Conference Invited presentation at Danish Technical Audiological Society's annual meeting, 5-6 Oct 2018. Hotel Vejlefjord, Stouby, Denmark, 2018. @conference{DTAS2018a, title = {Update på BEAR projektet}, author = {Dorte Hammershøi}, url = {http://www.dtas.dk/DTAS_Program_2018.pdf}, year = {2018}, date = {2018-10-06}, booktitle = {Invited presentation at Danish Technical Audiological Society's annual meeting, 5-6 Oct 2018. Hotel Vejlefjord, Stouby, Denmark}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Wu, Mengfan; El-Haj-Ali, Mouhamad; Sanchez-Lopez, Raul; Fereczkowski, Michal; Bianchi, Federica; Dau, Torsten; Santurette, Sébastien; Neher, Tobias Poster presentation at Danish Technical Audiological Society's annual meeting, 5-6 Oct 2018. Hotel Vejlefjord, Stouby, Denmark, 2018. @conference{DTAS2018b, title = {Hearing aid processing strategies for listeners with different auditory profiles: Insights from the BEAR project}, author = {Mengfan Wu and Mouhamad El-Haj-Ali and Raul Sanchez-Lopez and Michal Fereczkowski and Federica Bianchi and Torsten Dau and Sébastien Santurette and Tobias Neher}, url = {http://www.dtas.dk/DTAS_Program_2018.pdf}, year = {2018}, date = {2018-10-05}, booktitle = {Poster presentation at Danish Technical Audiological Society's annual meeting, 5-6 Oct 2018. Hotel Vejlefjord, Stouby, Denmark}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Sanchez-Lopez, Raul; Bianchi, Federica; Fereczkowski, Michal; Piechowiak, Tobias; Hau, Ole; Pedersen, Michael Syskind; Behrens, Thomas; Neher, Tobias; Dau, Torsten; Santurette, Sébastien Technical evaluation of hearing-aid fitting parameters for different auditory profiles Conference Poster presentation at Danish Technical Audiological Society's annual meeting, 5-6 Oct 2018. Hotel Vejlefjord, Stouby, Denmark, 2018. @conference{DTAS2018bb, title = {Technical evaluation of hearing-aid fitting parameters for different auditory profiles}, author = {Raul Sanchez-Lopez and Federica Bianchi and Michal Fereczkowski and Tobias Piechowiak and Ole Hau and Michael Syskind Pedersen and Thomas Behrens and Tobias Neher and Torsten Dau and Sébastien Santurette}, url = {http://www.dtas.dk/DTAS_Program_2018.pdf}, year = {2018}, date = {2018-10-05}, booktitle = {Poster presentation at Danish Technical Audiological Society's annual meeting, 5-6 Oct 2018. Hotel Vejlefjord, Stouby, Denmark}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Lorentzen, Line Nim; Schmidt, Jesper Hvass Poster presentation at Danish Technical Audiological Society's annual meeting, 5-6 Oct 2018. Hotel Vejlefjord, Stouby, Denmark, 2018. @conference{DTAS2018d, title = {The Danish version of the Speech, Spatial and Qualities of Hearing Scale in its abbreviated form, the SSQ12 – a study of Validation}, author = {Line Nim Lorentzen and Jesper Hvass Schmidt}, url = {http://www.dtas.dk/DTAS_Program_2018.pdf}, year = {2018}, date = {2018-10-05}, booktitle = {Poster presentation at Danish Technical Audiological Society's annual meeting, 5-6 Oct 2018. Hotel Vejlefjord, Stouby, Denmark}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Schmidt, Jesper Hvass; Lorentzen, Line Nim BEAR Conference Præsentation på Vingstedkursus for medarbejdere i hørerehabiliteringen ved kommunikationscentre 2018, 2018. @conference{Vingsted2018, title = {BEAR}, author = {Jesper Hvass Schmidt and Line Nim Lorentzen}, url = {https://centerkommunikationogvelfaerdsteknologi.regionsyddanmark.dk/wm508245}, year = {2018}, date = {2018-09-04}, booktitle = {Præsentation på Vingstedkursus for medarbejdere i hørerehabiliteringen ved kommunikationscentre 2018}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Sanchez-Lopez, Raul; Fereczkowski, Michal; Bianchi, Federica; El-Haj-Ali, Mouhamad; Neher, Tobias; Dau, Torsten; Santurette, Sébastien Auditory tests for characterizing individual hearing deficits: The BEAR test battery Conference Poster at International Hearing Aid Research Conference (IHCON 2018), Lake Tahoe, California, US, 15-19 Aug 2018, (C3-P-27), 2018. @conference{IHCON2018b, title = {Auditory tests for characterizing individual hearing deficits: The BEAR test battery}, author = {Raul Sanchez-Lopez and Michal Fereczkowski and Federica Bianchi and Mouhamad El-Haj-Ali and Tobias Neher and Torsten Dau and Sébastien Santurette}, url = {https://ihcon.org/files/ihcon/files/final_final_ihcon_2018_program_0.pdf}, year = {2018}, date = {2018-08-17}, booktitle = {Poster at International Hearing Aid Research Conference (IHCON 2018), Lake Tahoe, California, US, 15-19 Aug 2018}, number = {C3-P-27}, pages = {49}, abstract = {The Better hEAring Rehabilitation (BEAR) project seeks to develop and assess new clinically feasible strategies for individualized hearing-loss diagnosis and hearing-aid fitting. The aim is to improve current clinical practice, where the fitting process relies on the pure-tone audiogram and trial-and-error methods. These usually result in inconsistent practices and patient dissatisfaction and inefficient service. Existing evidence suggests that the audiogram does not sufficiently describe supra-threshold performance of hearing-impaired listeners. Detailed characterization of hearing deficits can be complex. Therefore, one aim of the BEAR project is to design a hearing test battery for classification of listeners into a small number of auditory profiles. If successful, this BEAR test battery may be refined and reduced to form the basis for improved profile-based hearing-aid fitting protocols. Method: Based on the reanalysis of existing auditory profiling data and on criteria of their feasibility, time efficiency, and evidence from the literature, eleven potential tests for inclusion in a clinical test battery were selected. The proposed tests were divided into six categories: audibility, middle-ear analysis, speech perception, binaural-processing abilities, loudness perception, and spectro-temporal resolution. Thirty hearing-impaired listeners with symmetric mild to severe sensorineural hearing loss were selected from a clinical population of hearing-aid users. All listeners performed every test included in the battery. The participants were tested in a clinical environment and did not receive systematic training on any of the tasks. Results: The considered tests have so far shown potential for auditory profiling. The analysis of the preliminary results will focus on the ability of each test to pinpoint individual differences among the participants, interrelations among the tests, as well as their usability for the target clinical population. Importantly, a parallel study will evaluate the extent to which the outcomes of these tests can be used for hearing-aid fitting. Finally, the current test battery will be refined for implementation in clinical practice, based on the results of a data-driven analysis for auditory profiling.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } The Better hEAring Rehabilitation (BEAR) project seeks to develop and assess new clinically feasible strategies for individualized hearing-loss diagnosis and hearing-aid fitting. The aim is to improve current clinical practice, where the fitting process relies on the pure-tone audiogram and trial-and-error methods. These usually result in inconsistent practices and patient dissatisfaction and inefficient service. Existing evidence suggests that the audiogram does not sufficiently describe supra-threshold performance of hearing-impaired listeners. Detailed characterization of hearing deficits can be complex. Therefore, one aim of the BEAR project is to design a hearing test battery for classification of listeners into a small number of auditory profiles. If successful, this BEAR test battery may be refined and reduced to form the basis for improved profile-based hearing-aid fitting protocols. Method: Based on the reanalysis of existing auditory profiling data and on criteria of their feasibility, time efficiency, and evidence from the literature, eleven potential tests for inclusion in a clinical test battery were selected. The proposed tests were divided into six categories: audibility, middle-ear analysis, speech perception, binaural-processing abilities, loudness perception, and spectro-temporal resolution. Thirty hearing-impaired listeners with symmetric mild to severe sensorineural hearing loss were selected from a clinical population of hearing-aid users. All listeners performed every test included in the battery. The participants were tested in a clinical environment and did not receive systematic training on any of the tasks. Results: The considered tests have so far shown potential for auditory profiling. The analysis of the preliminary results will focus on the ability of each test to pinpoint individual differences among the participants, interrelations among the tests, as well as their usability for the target clinical population. Importantly, a parallel study will evaluate the extent to which the outcomes of these tests can be used for hearing-aid fitting. Finally, the current test battery will be refined for implementation in clinical practice, based on the results of a data-driven analysis for auditory profiling. |
Dau, Torsten Auditory processing models and their potential application in hearing technology Conference Invited presentation at International Hearing Aid Research Conference (IHCON 2018), Lake Tahoe, California, US, 15-19 Aug 2018, (C4-0-1), 2018. @conference{IHCON2018cb, title = {Auditory processing models and their potential application in hearing technology}, author = {Torsten Dau}, url = {https://ihcon.org/files/ihcon/files/final_final_ihcon_2018_program_0.pdf}, year = {2018}, date = {2018-08-17}, booktitle = {Invited presentation at International Hearing Aid Research Conference (IHCON 2018), Lake Tahoe, California, US, 15-19 Aug 2018}, number = {C4-0-1}, pages = {52-53}, abstract = {Auditory processing models provide a powerful framework to both represent and interpret the results from a variety of experiments and to further understand the functioning of different parts of the auditory system. An important category of functional computational models seeks to capture the essential signal transformations along the auditory pathway, rather than their specific physiological substrates, and helps generate hypotheses that can be quantitatively tested for complex systems at different functional levels. These models can also help determine how a deficit in one or more functional components affects the overall operation of the system. The first part of this presentation describes some current trends in quantitative modeling of speech perception in challenging acoustic conditions, inspired by coding principles from physiology at periphery and mid-brain stages of processing. While such models can account reasonably well for speech intelligibility data from normal-hearing listeners, the prediction of data from individual hearing-impaired or aided listeners remains challenging. The second part considers compensation strategies in hearing instruments inspired by auditory models. Current compensation schemes, such as dynamic range compression, loudness compensation or speech enhancement, aim at processing the signal such that the perception of the aided signal in the hearing-impaired listener matches the perception of a normalhearing listener. While some approaches are promising, nonlinear system compensation is generally difficult to achieve in real-life situations and real-time applications. Moreover, even for the case of a purely peripheral impairment, consequences at more central stages can be manifold and complex and are typically less well understood. Current compensation strategies aim to restore peripheral processing but the restoration of cues at central stages may be equally relevant to consider. This, in turn, requires models that accurately capture such higher-level processing. Some modeling perspectives are finally described that attempt to bridge this gap between peripheral/midbrain and central processing using artificial neural network architectures. Such networks are optimized to solve real-world auditory tasks, such as speech recognition, and are currently matching the performance of human listeners. The degree to which task-optimized models can be viewed as models of the ‘real’ biological system are discussed. Overall, it is argued that the primary relevance of computational auditory signal-processing models remains the description of the transformations of the acoustical input signal into its essential ‘internal’ representations. More detailed descriptions of this process may, in turn, allow for more sophisticated hearing-aid compensation strategies to be developed.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Auditory processing models provide a powerful framework to both represent and interpret the results from a variety of experiments and to further understand the functioning of different parts of the auditory system. An important category of functional computational models seeks to capture the essential signal transformations along the auditory pathway, rather than their specific physiological substrates, and helps generate hypotheses that can be quantitatively tested for complex systems at different functional levels. These models can also help determine how a deficit in one or more functional components affects the overall operation of the system. The first part of this presentation describes some current trends in quantitative modeling of speech perception in challenging acoustic conditions, inspired by coding principles from physiology at periphery and mid-brain stages of processing. While such models can account reasonably well for speech intelligibility data from normal-hearing listeners, the prediction of data from individual hearing-impaired or aided listeners remains challenging. The second part considers compensation strategies in hearing instruments inspired by auditory models. Current compensation schemes, such as dynamic range compression, loudness compensation or speech enhancement, aim at processing the signal such that the perception of the aided signal in the hearing-impaired listener matches the perception of a normalhearing listener. While some approaches are promising, nonlinear system compensation is generally difficult to achieve in real-life situations and real-time applications. Moreover, even for the case of a purely peripheral impairment, consequences at more central stages can be manifold and complex and are typically less well understood. Current compensation strategies aim to restore peripheral processing but the restoration of cues at central stages may be equally relevant to consider. This, in turn, requires models that accurately capture such higher-level processing. Some modeling perspectives are finally described that attempt to bridge this gap between peripheral/midbrain and central processing using artificial neural network architectures. Such networks are optimized to solve real-world auditory tasks, such as speech recognition, and are currently matching the performance of human listeners. The degree to which task-optimized models can be viewed as models of the ‘real’ biological system are discussed. Overall, it is argued that the primary relevance of computational auditory signal-processing models remains the description of the transformations of the acoustical input signal into its essential ‘internal’ representations. More detailed descriptions of this process may, in turn, allow for more sophisticated hearing-aid compensation strategies to be developed. |
Sanchez-Lopez, Raul; Fereczkowski, Michal; Bianchi, Federica; Santurette, Sébastien; Dau, Torsten Data-driven auditory profiling as a tool for defining Better hEAring Rehabilitation (BEAR) Conference Poster at International Hearing Aid Research Conference (IHCON 2018), Lake Tahoe, California, US, 15-19 Aug 2018, (B3-P-04), 2018. @conference{IHCON2018a, title = {Data-driven auditory profiling as a tool for defining Better hEAring Rehabilitation (BEAR)}, author = {Raul Sanchez-Lopez and Michal Fereczkowski and Federica Bianchi and Sébastien Santurette and Torsten Dau}, url = {https://ihcon.org/files/ihcon/files/final_final_ihcon_2018_program_0.pdf}, year = {2018}, date = {2018-08-16}, booktitle = {Poster at International Hearing Aid Research Conference (IHCON 2018), Lake Tahoe, California, US, 15-19 Aug 2018}, number = {B3-P-04}, pages = {32}, abstract = {Background: While the audiogram still stands as the main tool for selecting hearing-aid compensation strategies in audiological clinics, there is ample evidence that loss of hearing sensitivity cannot fully account for common difficulties encountered by people with sensorineural hearing loss, such as understanding speech in noisy environments. Forty years after R. Plomp proposed his attenuation-distortion model of hearing impairment, it remains a challenge to address the distortion component, mainly related to suprathreshold deficits, via adequate clinical diagnostics and corresponding hearing-aid compensation strategies. Inspired by the different auditory profiling approaches used in the literature, a major aim of the Better hEAring Rehabilitation (BEAR) project is to define a new clinical profiling tool, a test battery, for individualized hearing loss characterization. Methods: The proposed BEAR approach is based on the hypothesis that any listener’s hearing can be characterized along two dimensions reflecting largely independent types of perceptual distortions. In order to keep the approach as neutral as possible, no a priori assumption was made about the nature of the two distortion types. Instead, a statistical analysis method, combining unsupervised and supervised learning, was applied to existing data. The aim was to provide a tool to help define the two distortion types, such that potentially relevant tests for classifying listeners into different auditory profiles could be identified. So far, the data from two auditory profiling studies were reanalyzed based on this approach. First, an unsupervised-learning technique including archetypal analysis was used to identify extreme patterns in the data, forming the basis for different auditory profiles. Next, a decision tree was determined to classify the listeners into one of the profiles. Results: The data-driven analysis provided consistent evidence for the existence of two independent sources of distortion, and thus different auditory profiles, in the data. The results suggested that the first distortion type was related to loss of sensitivity at high frequencies as well as reduced peripheral compression and frequency selectivity, while the second distortion type was linked to binaural temporal-fine-structure processing abilities as well as low-frequency sensitivity loss. The audiogram was not found to reflect an independent dimension on its own, and the most informative predictors for profile identification beyond the audiogram were related to temporal processing, binaural processing, compressive peripheral nonlinearity, and speech-in-noise perception. The current approach can be used to analyze other existing data sets and may help define an optimal test battery to achieve efficient clinical auditory profiling.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Background: While the audiogram still stands as the main tool for selecting hearing-aid compensation strategies in audiological clinics, there is ample evidence that loss of hearing sensitivity cannot fully account for common difficulties encountered by people with sensorineural hearing loss, such as understanding speech in noisy environments. Forty years after R. Plomp proposed his attenuation-distortion model of hearing impairment, it remains a challenge to address the distortion component, mainly related to suprathreshold deficits, via adequate clinical diagnostics and corresponding hearing-aid compensation strategies. Inspired by the different auditory profiling approaches used in the literature, a major aim of the Better hEAring Rehabilitation (BEAR) project is to define a new clinical profiling tool, a test battery, for individualized hearing loss characterization. Methods: The proposed BEAR approach is based on the hypothesis that any listener’s hearing can be characterized along two dimensions reflecting largely independent types of perceptual distortions. In order to keep the approach as neutral as possible, no a priori assumption was made about the nature of the two distortion types. Instead, a statistical analysis method, combining unsupervised and supervised learning, was applied to existing data. The aim was to provide a tool to help define the two distortion types, such that potentially relevant tests for classifying listeners into different auditory profiles could be identified. So far, the data from two auditory profiling studies were reanalyzed based on this approach. First, an unsupervised-learning technique including archetypal analysis was used to identify extreme patterns in the data, forming the basis for different auditory profiles. Next, a decision tree was determined to classify the listeners into one of the profiles. Results: The data-driven analysis provided consistent evidence for the existence of two independent sources of distortion, and thus different auditory profiles, in the data. The results suggested that the first distortion type was related to loss of sensitivity at high frequencies as well as reduced peripheral compression and frequency selectivity, while the second distortion type was linked to binaural temporal-fine-structure processing abilities as well as low-frequency sensitivity loss. The audiogram was not found to reflect an independent dimension on its own, and the most informative predictors for profile identification beyond the audiogram were related to temporal processing, binaural processing, compressive peripheral nonlinearity, and speech-in-noise perception. The current approach can be used to analyze other existing data sets and may help define an optimal test battery to achieve efficient clinical auditory profiling. |
Wu, Mengfan; El-Haj-Ali, Mouhamad; Sanchez-Lopez, Raul; Fereczkowski, Michal; Bianchi, Federica; Dau, Torsten; Santurette, Sébastien; Neher, Tobias Presentation at International Hearing Aid Research Conference (IHCON 2018), Lake Tahoe, California, US, 15-19 Aug 2018, (B3-0-2), 2018. @conference{IHCON2018c, title = {Hearing aid processing strategies for listeners with different auditory profiles: Insights from the BEAR project}, author = {Mengfan Wu and Mouhamad El-Haj-Ali and Raul Sanchez-Lopez and Michal Fereczkowski and Federica Bianchi and Torsten Dau and Sébastien Santurette and Tobias Neher}, url = {https://ihcon.org/files/ihcon/files/final_final_ihcon_2018_program_0.pdf}, year = {2018}, date = {2018-08-16}, booktitle = {Presentation at International Hearing Aid Research Conference (IHCON 2018), Lake Tahoe, California, US, 15-19 Aug 2018}, number = {B3-0-2}, pages = {29}, abstract = {Background: The Better hEAring Rehabilitation (BEAR) project pursues the development and evaluation of new clinically feasible strategies for individual hearing loss diagnosis and hearing aid fitting. Two essential elements of this research are the design of a new diagnostic test battery for identifying different auditory profiles and linking those profiles to hearing aid processing strategies. The current study focused on establishing links between four auditory profiles and benefit from six hearing aid processing strategies. Methods: Participants were 30 older individuals with bilateral mild-to-severe sensorineural hearing losses who were selected from a clinical population of hearing aid users. Speech-in-noise stimuli were generated with the help of a hearing aid simulator that included directional processing, noise reduction and dynamic range compression. Stimulus presentation was via headphones. Six hearing aid settings that differed in terms of signal-to-noise ratio (SNR) improvement and temporal and spectral speech distortions were selected for testing based on a comprehensive technical evaluation of different parameterisations of the hearing aid simulator. Speech-in-noise perception was assessed at fixed input SNRs that were selected based on individual speech reception threshold (SRT50) measurements. Participants were required to recognize five-word, low-context sentences embedded in two realistic noise backgrounds. In addition, overall preference and noise annoyance were assessed using a multiple stimulus comparison paradigm. Results: We hypothesize that the perceptual outcomes from the six hearing aid settings will differ across listeners with different auditory profiles. More specifically, we expect listeners showing high sensitivity to temporal and spectral differences to perform best with and/or to favour hearing aid settings that preserve those cues. In contrast, we expect listeners showing low sensitivity to temporal and spectral differences to perform best with and/or to favour settings that maximize SNR improvement, independent of any additional speech distortions. Altogether, we anticipate that these findings will provide the basis for more individualized fitting strategies to be implemented in wearable hearing aids.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Background: The Better hEAring Rehabilitation (BEAR) project pursues the development and evaluation of new clinically feasible strategies for individual hearing loss diagnosis and hearing aid fitting. Two essential elements of this research are the design of a new diagnostic test battery for identifying different auditory profiles and linking those profiles to hearing aid processing strategies. The current study focused on establishing links between four auditory profiles and benefit from six hearing aid processing strategies. Methods: Participants were 30 older individuals with bilateral mild-to-severe sensorineural hearing losses who were selected from a clinical population of hearing aid users. Speech-in-noise stimuli were generated with the help of a hearing aid simulator that included directional processing, noise reduction and dynamic range compression. Stimulus presentation was via headphones. Six hearing aid settings that differed in terms of signal-to-noise ratio (SNR) improvement and temporal and spectral speech distortions were selected for testing based on a comprehensive technical evaluation of different parameterisations of the hearing aid simulator. Speech-in-noise perception was assessed at fixed input SNRs that were selected based on individual speech reception threshold (SRT50) measurements. Participants were required to recognize five-word, low-context sentences embedded in two realistic noise backgrounds. In addition, overall preference and noise annoyance were assessed using a multiple stimulus comparison paradigm. Results: We hypothesize that the perceptual outcomes from the six hearing aid settings will differ across listeners with different auditory profiles. More specifically, we expect listeners showing high sensitivity to temporal and spectral differences to perform best with and/or to favour hearing aid settings that preserve those cues. In contrast, we expect listeners showing low sensitivity to temporal and spectral differences to perform best with and/or to favour settings that maximize SNR improvement, independent of any additional speech distortions. Altogether, we anticipate that these findings will provide the basis for more individualized fitting strategies to be implemented in wearable hearing aids. |
Wolff, Anne; Schmidt, Jesper Hvass; Houmøller, Sabina Storbjerg; Hougaard, Dan Dupont; Gaihede, Michael; Godballe, Christian; Hammershøi, Dorte The Better Hearing Rehabilitation (BEAR) study in Denmark. Population characteristics of the hearing aid user and benefits of hearing aid treatment in the current program of hearing rehabilitation Conference Presentation at the Nordic Audiological Society, Harpa, Iceland, 6-8 June 2018., 2018. @conference{NAS2018, title = {The Better Hearing Rehabilitation (BEAR) study in Denmark. Population characteristics of the hearing aid user and benefits of hearing aid treatment in the current program of hearing rehabilitation}, author = {Anne Wolff and Jesper Hvass Schmidt and Sabina Storbjerg Houmøller and Dan Dupont Hougaard and Michael Gaihede and Christian Godballe and Dorte Hammershøi}, year = {2018}, date = {2018-06-06}, booktitle = {Presentation at the Nordic Audiological Society, Harpa, Iceland, 6-8 June 2018.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Sánchez, Raul Technical characteristics of hearing devices. Differences between hearing aids, personal sound amplifiers and hearables Conference Presentation at the XV National Congress of the Spanish Audiological Society, Toledo, Spain, May 24-26, 2018. @conference{AEDA1, title = {Technical characteristics of hearing devices. Differences between hearing aids, personal sound amplifiers and hearables}, author = {Raul Sánchez}, year = {2018}, date = {2018-05-26}, booktitle = {Presentation at the XV National Congress of the Spanish Audiological Society, Toledo, Spain, May 24-26}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Sánchez, Raul Hearing aids and hearing aid market. The limits of and scope between the clinic and supermarket. Where we are and where we are going Conference Roundtable discussion at the XV National Congress of the Spanish Association of Audiology, Toledo, Spain, May 24-26, 2018. @conference{AEDA2b, title = {Hearing aids and hearing aid market. The limits of and scope between the clinic and supermarket. Where we are and where we are going}, author = {Raul Sánchez}, year = {2018}, date = {2018-05-26}, booktitle = {Roundtable discussion at the XV National Congress of the Spanish Association of Audiology, Toledo, Spain, May 24-26}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Santurette, Sébastien; Bianchi, Federica; Dau, Torsten Effects of musical training and hearing loss on pitch discrimination Conference Proceedings of the Baltic Nordic Acoustical Meeting 2018, Reykjavik, Iceland 15-18 Apr, 2018. , 2018. @conference{BNAM2018a, title = {Effects of musical training and hearing loss on pitch discrimination}, author = {Sébastien Santurette and Federica Bianchi and Torsten Dau}, url = {https://events.artegis.com/urlhost/artegis/customers/1571/.lwtemplates/layout/default/events_public/12612//Papers/2025392_SanturetteBianchiDau_BNAM2018.pdf}, year = {2018}, date = {2018-04-15}, booktitle = {Proceedings of the Baltic Nordic Acoustical Meeting 2018, Reykjavik, Iceland 15-18 Apr, 2018. }, pages = {1-6}, abstract = {Our ability to perceive the pitch of complex sounds is essential for melody perception and for our enjoyment of music. It also plays an important role in speech perception to convey intonation and sometimes meaning, e.g., in tonal languages, and greatly helps segregation of competing sound sources. Humans are able to discriminate very small changes in the pitch of complex harmonic sounds, with fundamental frequency difference limens (F0DLs) that can be smaller than 1% of the fundamental frequency (F0). However, performance in such pitch discrimination tasks is known to depend on the harmonic content of the sound and whether the harmonics are resolved by the auditory frequency analysis operated by cochlear processing. F0DLs are also heavily influenced by the amount of musical training received by the listener and by the spectrotemporal auditory processing deficits that often accompany sensorineural hearing loss. This paper reviews the latest evidence for how musical training and hearing loss affect pitch discrimination performance, based on behavioral F0DL experiments with complex tones containing either resolved or unresolved harmonics, carried out in listeners with different degrees of hearing loss and musicianship. A better understanding of the interaction between these two factors is crucial to determine whether auditory training based on musical tasks or targeted towards specific auditory cues may be useful to hearing-impaired patients undergoing hearing rehabilitation.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Our ability to perceive the pitch of complex sounds is essential for melody perception and for our enjoyment of music. It also plays an important role in speech perception to convey intonation and sometimes meaning, e.g., in tonal languages, and greatly helps segregation of competing sound sources. Humans are able to discriminate very small changes in the pitch of complex harmonic sounds, with fundamental frequency difference limens (F0DLs) that can be smaller than 1% of the fundamental frequency (F0). However, performance in such pitch discrimination tasks is known to depend on the harmonic content of the sound and whether the harmonics are resolved by the auditory frequency analysis operated by cochlear processing. F0DLs are also heavily influenced by the amount of musical training received by the listener and by the spectrotemporal auditory processing deficits that often accompany sensorineural hearing loss. This paper reviews the latest evidence for how musical training and hearing loss affect pitch discrimination performance, based on behavioral F0DL experiments with complex tones containing either resolved or unresolved harmonics, carried out in listeners with different degrees of hearing loss and musicianship. A better understanding of the interaction between these two factors is crucial to determine whether auditory training based on musical tasks or targeted towards specific auditory cues may be useful to hearing-impaired patients undergoing hearing rehabilitation. |
Neher, Tobias The "Better Hearing Rehabilitation" project: Research into improved diagnostics and hearing aid treatment in Denmark Conference 21st Annual Meeting of the German Audiological Society, Halle, Germany, Feb. 28 - March 3, 2018. @conference{DAGA2018, title = {The "Better Hearing Rehabilitation" project: Research into improved diagnostics and hearing aid treatment in Denmark}, author = {Tobias Neher}, year = {2018}, date = {2018-02-28}, booktitle = {21st Annual Meeting of the German Audiological Society, Halle, Germany, Feb. 28 - March 3}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Dau, Torsten From data-driven auditory profiling to scene-aware signal processing in hearing aids Conference 21st Annual Meeting of the German Audiological Society, Halle, Germany, Feb. 28 - March 3, 2018. @conference{DAGA2017b, title = {From data-driven auditory profiling to scene-aware signal processing in hearing aids}, author = {Torsten Dau}, year = {2018}, date = {2018-02-28}, booktitle = {21st Annual Meeting of the German Audiological Society, Halle, Germany, Feb. 28 - March 3}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
2017 |
Lund, Katja Kontekstuelle interviews i audiologiske klinikker Conference Presentation of the BEAR project at Bispebjerg Hospital, 2. november, 2017. @conference{KatjaBBH2017, title = {Kontekstuelle interviews i audiologiske klinikker}, author = {Katja Lund}, year = {2017}, date = {2017-11-02}, booktitle = {Presentation of the BEAR project at Bispebjerg Hospital, 2. november}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Santurette, Sébastien Better Hearing Rehabilitation project presentation Conference Presentation of the BEAR project at Bispebjerg Hospital, 2. november, 2017. @conference{SeSBBH2017, title = {Better Hearing Rehabilitation project presentation}, author = {Sébastien Santurette}, year = {2017}, date = {2017-11-02}, booktitle = {Presentation of the BEAR project at Bispebjerg Hospital, 2. november}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Nielsen, Jens Bo Et testbatteri til vurdering af høreapparatudbytte Conference Presentation of the BEAR project at Bispebjerg Hospital, 2. november, 2017. @conference{JBNBBH2017, title = {Et testbatteri til vurdering af høreapparatudbytte}, author = {Jens Bo Nielsen}, year = {2017}, date = {2017-11-02}, booktitle = {Presentation of the BEAR project at Bispebjerg Hospital, 2. november}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Wolff, Anne BEAR project Conference Presentation at Dansk Medicinsk Audiologisk Selskabs årsmøde, Aalborg, Danmark, 27. oktober, 2017. @conference{DMAS2017, title = {BEAR project}, author = {Anne Wolff }, year = {2017}, date = {2017-10-27}, booktitle = {Presentation at Dansk Medicinsk Audiologisk Selskabs årsmøde, Aalborg, Danmark, 27. oktober}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Lopez, Raul Sanchez Auditory profiling through computational data analysis Conference Presentation at Hearing Systems presentation day, Kgs. Lyngby, Denmark, 12 October, 2017. @conference{DTU2017, title = {Auditory profiling through computational data analysis}, author = {Raul Sanchez Lopez}, year = {2017}, date = {2017-10-12}, booktitle = {Presentation at Hearing Systems presentation day, Kgs. Lyngby, Denmark, 12 October}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Nielsen, Jens Bo A test battery for predicting the real-life performance of hearing aid users Conference Poster presented at Hearing Systems presentation day, Kgs. Lyngby, Denmark, 12 October, 2017. @conference{DTU2017b, title = {A test battery for predicting the real-life performance of hearing aid users}, author = {Jens Bo Nielsen}, year = {2017}, date = {2017-10-12}, booktitle = {Poster presented at Hearing Systems presentation day, Kgs. Lyngby, Denmark, 12 October}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Lopez, Raul Sanchez; Bianchi, Federica; Fereczkowski, Michal; Santurette, Sébastien; Dau, Torsten An extended test battery for characterizing hearing deficits Conference Dansk Teknisk Audiologisk Årsmøde, Vejle, Danmark, 9-10 september, 2017. @conference{RaulDTAS2017, title = {An extended test battery for characterizing hearing deficits}, author = {Raul Sanchez Lopez and Federica Bianchi and Michal Fereczkowski and Sébastien Santurette and Torsten Dau }, year = {2017}, date = {2017-09-09}, booktitle = {Dansk Teknisk Audiologisk Årsmøde, Vejle, Danmark, 9-10 september}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Dau, Torsten Bridging the gap from sound processors to brain processors Conference “High-Tech Summit” Copenhagen 2017 – Empowering Society and Creating Value” Conference at the Technical University of Denmark, 1. September, 2017. @conference{high-tech2017, title = {Bridging the gap from sound processors to brain processors}, author = {Torsten Dau}, year = {2017}, date = {2017-09-01}, booktitle = {“High-Tech Summit” Copenhagen 2017 – Empowering Society and Creating Value” Conference at the Technical University of Denmark, 1. September}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Houmøller, Sabina Storbjerg; Wolff, Anne; Hougaard, Dan Dupont; Hammershøi, Dorte; Godballe, Christian; Schmidt, Jesper Hvass BEAR: A status on population characteristics of hearing-aid users obtained from the database Conference ISAAR 2017 Adaptive Processes in Hearing, (P.20), 2017. @conference{SabinaISAAR2017, title = {BEAR: A status on population characteristics of hearing-aid users obtained from the database}, author = {Sabina Storbjerg Houmøller and Anne Wolff and Dan Dupont Hougaard and Dorte Hammershøi and Christian Godballe and Jesper Hvass Schmidt}, year = {2017}, date = {2017-08-23}, booktitle = {ISAAR 2017 Adaptive Processes in Hearing}, number = {P.20}, pages = {126}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Lopez, Raul Sanchez; Bianchi, Federica; Fereczkowski, Michal; Santurette, Sébastien; Dau, Torsten Auditory profiling through computational data analysis Conference Poster presented at the 1st International Workshop on Challenges in Hearing Assistive Technology (CHAT-2017), Stockholm, Sweden, 2017. @conference{CHAT2017, title = {Auditory profiling through computational data analysis}, author = {Raul Sanchez Lopez and Federica Bianchi and Michal Fereczkowski and Sébastien Santurette and Torsten Dau}, year = {2017}, date = {2017-08-19}, booktitle = {Poster presented at the 1st International Workshop on Challenges in Hearing Assistive Technology (CHAT-2017), Stockholm, Sweden}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Wolff, Anne; Houmøller, Sabina Storbjerg; Gaihede, Michael; Hougaard, Dan Dupont; Schmidt, Jesper Hvass; Hammershøi, Dorte Predictive factors for successful hearing aid treatment with special focus on health related quality of life and asymmetric hearing Conference XIV Årsmøde i Dansk Selskab for Otorhinolaryngologi, Hoved- & Halskirurgi, Nyborg, Danmark, 2017. @conference{DSOHH2017, title = {Predictive factors for successful hearing aid treatment with special focus on health related quality of life and asymmetric hearing}, author = {Anne Wolff and Sabina Storbjerg Houmøller and Michael Gaihede and Dan Dupont Hougaard and Jesper Hvass Schmidt and Dorte Hammershøi}, year = {2017}, date = {2017-04-20}, booktitle = {XIV Årsmøde i Dansk Selskab for Otorhinolaryngologi, Hoved- & Halskirurgi, Nyborg, Danmark}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Hammershøi, Dorte Høreapparater på en helt ny måde Conference IDA Universe temadag, København, Danmark, 2017. @conference{IDAUcph2017, title = {Høreapparater på en helt ny måde}, author = {Dorte Hammershøi }, year = {2017}, date = {2017-04-19}, booktitle = {IDA Universe temadag, København, Danmark}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Wolff, Anne; Houmøller, Sabina Storbjerg; Gaihede, Michael; Hougaard, Dan Dupont; Hammershøi, Dorte National Better hEAring Rehabilitation (BEAR) project: A status on the database with special focus on patients’ motivation on hearing aid treatment Conference ISAAR 2017 Adaptive Processes in Hearing, (P.55), 2017. @conference{AnneISAAR2017, title = {National Better hEAring Rehabilitation (BEAR) project: A status on the database with special focus on patients’ motivation on hearing aid treatment}, author = {Anne Wolff and Sabina Storbjerg Houmøller and Michael Gaihede and Dan Dupont Hougaard and Dorte Hammershøi}, year = {2017}, date = {2017-01-01}, booktitle = {ISAAR 2017 Adaptive Processes in Hearing}, number = {P.55}, pages = {196}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
2016 |
Lopez, Raul Sanchez; Bianchi, Federica; Santurette, Sébastien; Dau, Torsten Archetypal analysis of auditory profiling data towards a clinical test battery Conference Poster presented at ARCHES/ICANHEAR 21-23 Nov 2016, Zurich, Switzerland, (AP-10), 2016. @conference{Lopez2016, title = {Archetypal analysis of auditory profiling data towards a clinical test battery}, author = {Raul Sanchez Lopez and Federica Bianchi and Sébastien Santurette and Torsten Dau}, url = {https://www.uzh.ch/orl/Sanchez.pdf}, year = {2016}, date = {2016-11-21}, booktitle = {Poster presented at ARCHES/ICANHEAR 21-23 Nov 2016, Zurich, Switzerland}, number = {AP-10}, abstract = {Nowadays, the pure-tone audiogram is the main tool used to characterize the degree of hearing loss and for hearing-aid fitting. However, the perceptual consequences of hearing loss are typically associated not only to a loss of sensitivity, but also to a loss of clarity (distortions) that is not captured by the audiogram. Here, we hypothesize that any listener’s hearing can be characterized along two dimensions: audibility-related and nonaudibility-related distortions. In this space, four profiles can be identified: normalhearing, sensitivity loss, hearing loss with clarity loss and normal-hearing with clarity loss (hidden hearing loss). Recently, Thorup et al. (2016) proposed an extended auditory profile beyond the audiogram for hearing aid candidates. A new analysis of these data using archetypal analysis is presented here to evaluate our hypothesis. This technique uses unsupervised learning for identifying extreme patterns in the data, which would correspond to different profiles. Results provided consistent evidence of the existence of different “Auditory Profiles” in the data. The most sensitive tests for the classification of the hearing-impaired listeners were related to temporal processing, loudness, cognition, and speech perception. The current approach seems promising for analyzing other existing data sets in order to select the most relevant tests for auditory profiling. }, keywords = {}, pubstate = {published}, tppubtype = {conference} } Nowadays, the pure-tone audiogram is the main tool used to characterize the degree of hearing loss and for hearing-aid fitting. However, the perceptual consequences of hearing loss are typically associated not only to a loss of sensitivity, but also to a loss of clarity (distortions) that is not captured by the audiogram. Here, we hypothesize that any listener’s hearing can be characterized along two dimensions: audibility-related and nonaudibility-related distortions. In this space, four profiles can be identified: normalhearing, sensitivity loss, hearing loss with clarity loss and normal-hearing with clarity loss (hidden hearing loss). Recently, Thorup et al. (2016) proposed an extended auditory profile beyond the audiogram for hearing aid candidates. A new analysis of these data using archetypal analysis is presented here to evaluate our hypothesis. This technique uses unsupervised learning for identifying extreme patterns in the data, which would correspond to different profiles. Results provided consistent evidence of the existence of different “Auditory Profiles” in the data. The most sensitive tests for the classification of the hearing-impaired listeners were related to temporal processing, loudness, cognition, and speech perception. The current approach seems promising for analyzing other existing data sets in order to select the most relevant tests for auditory profiling. |
Lopez, Raul Sanchez; Fereczkowski, Michal; Santurette, Sébastien; Dau, Torsten Poster presented at Danish Technical Audiological Society's annual meeting, 9-10 Sep 2016, Hotel Vejlefjord, Stouby, Denmark, 2016. @conference{57d1c0d07c8542ea9ab3c8c59714189a, title = {Spectro-temporal modulation sensitivity and discrimination in normal hearing and hearing-impaired listeners}, author = {Raul Sanchez Lopez and Michal Fereczkowski and Sébastien Santurette and Torsten Dau}, url = {http://www.dtas.dk/program2016.pdf}, year = {2016}, date = {2016-09-09}, booktitle = {Poster presented at Danish Technical Audiological Society's annual meeting, 9-10 Sep 2016, Hotel Vejlefjord, Stouby, Denmark}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Ravn, Gert BEAR projektet: Optimering af høreapparater - hvad kan vi gøre? Conference Invited presentation at Danish Technical Audiological Society's annual meeting, 9-10 Sep 2016, Hotel Vejlefjord, Stouby, Denmark, 2016. @conference{GertDTAS2016, title = {BEAR projektet: Optimering af høreapparater - hvad kan vi gøre?}, author = {Gert Ravn}, url = {http://www.dtas.dk/program2016.pdf}, year = {2016}, date = {2016-09-09}, booktitle = {Invited presentation at Danish Technical Audiological Society's annual meeting, 9-10 Sep 2016, Hotel Vejlefjord, Stouby, Denmark}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
University Hospitals
Odense University Hospital
Rikke Schnack-Petersen
rikke.schnack-petersen@rsyd.dk
Aalborg University Hospital
Michael Gaihede
mlg@rn.dk
Copenhagen University Hospital
Jesper Borchorst Yde
jesper.borchorst.yde.01@regionh.dk
Academia
University of Southen Denmark
Jesper Hvass Schmidt
jesper.schmidt@rsyd.dk
Aalborg University
Dorte Hammershøi
dh@es.aau.dk
Technical University of Denmark
Torsten Dau
tdau@elektro.dtu.dk
Tech Service
Industry
Oticon
Karen Wibling Solgård
kaws@oticon.dk
GN Resound
Nikolai Bisgaard
nbisgaard@gnresound.com
Widex
Filip Marchman Rønne
firo@widex.com
