Work areas
Populations with low benefit

Every now and then, there are patients in the audiological clinics, which have little or no benefit at all from hearing aid treatment. They experience hearing problems, but none that indicates that a hearing aid may alleviate the situation. For these patients there may be very little to offer, but it is possible that we will learn more about the hearing and the complexity of hearing problems by further studying these cases.
People
Aalborg University
Aalborg University
University of Southern Denmark
University of Southern Denmark
Resources
Publications
2020 |
Narayanan, Sreeram Kaithali; Piechowiak, Tobias; Wolff, Anne; Houmøller, Sabina Storbjerg; Narne, Vijaya K; Loquet, Gérard; Hougaard, Dan Dupont; Gaihede, Michael; Schmidt, Jesper Hvass; Hammershøi, Dorte Speech related hearing aid benefit index derived from standardized self-reported questionnaire data Inproceedings Kressner, Abigail Anne; Regev, Jonathan; Christensen-Dalsgaard, Jakob; Tranebjærg, Lisbeth; Santurette, Sébastien; Dau, Torsten (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research, 2020. @inproceedings{ISAAR2019_sreeram_print, title = {Speech related hearing aid benefit index derived from standardized self-reported questionnaire data}, author = {Sreeram Kaithali Narayanan and Tobias Piechowiak and Anne Wolff and Sabina Storbjerg Houmøller and Vijaya K. Narne and Gérard Loquet and Dan Dupont Hougaard and Michael Gaihede and Jesper Hvass Schmidt and Dorte Hammershøi}, editor = {Abigail Anne Kressner and Jonathan Regev and Jakob Christensen-Dalsgaard and Lisbeth Tranebjærg and Sébastien Santurette and Torsten Dau }, url = {https://proceedings.isaar.eu/index.php/isaarproc/article/view/2019-45}, year = {2020}, date = {2020-04-14}, booktitle = {Proceedings of the International Symposium on Auditory and Audiological Research}, volume = {7}, abstract = {Speech understanding in noisy environments has been the most desired hearing-aid (HA) benefit sought by HA users. This paper examines the possibility of developing a speech-related HA benefit index from the speech- related questions in the self-reported questionnaire data. One question from Health-Related Quality of Life (HRQoL) instrument 15D and nine questions from the Speech, Spatial and Qualities of Hearing Scale (SSQ) having a direct implication to speech were selected for the analysis. After applying weights relevant to 15D, a delta of base-line (prior to HA fitting) and follow-up (two months after the initial fitting) responses to the selected questions were determined. A principal component analysis (PCA) was performed on the scaled and centered delta values. The resultant principal component scores were used to derive the composite index indicative of speech-related HA benefit.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Speech understanding in noisy environments has been the most desired hearing-aid (HA) benefit sought by HA users. This paper examines the possibility of developing a speech-related HA benefit index from the speech- related questions in the self-reported questionnaire data. One question from Health-Related Quality of Life (HRQoL) instrument 15D and nine questions from the Speech, Spatial and Qualities of Hearing Scale (SSQ) having a direct implication to speech were selected for the analysis. After applying weights relevant to 15D, a delta of base-line (prior to HA fitting) and follow-up (two months after the initial fitting) responses to the selected questions were determined. A principal component analysis (PCA) was performed on the scaled and centered delta values. The resultant principal component scores were used to derive the composite index indicative of speech-related HA benefit. |
2017 |
van Hauen, Sigurd Møller; Rukjær, Andreas Harbo; Ordoñez, Rodrigo; Hammershøi, Dorte Estimating auditory filter bandwidth using distortion product otoacoustic emissions Inproceedings Santurette, Sébastien; Dau, Torsten; Christensen-Dalsgaard, Jakob; Tranebjærg, Lisbeth; Poulsen, Torben (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 = {Sébastien Santurette and Torsten Dau and Jakob Christensen-Dalsgaard and Lisbeth Tranebjærg and Torben 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. |
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. |
Other
2019 |
Narayanan, Sreeram Kaithali; Piechowiak, Tobias; Wolff, Anne; Houmøller, Sabina Storbjerg; Narne, Vijay; Loquet, Gérard; Hougaard, Dan Dupont; Gaihede, Michael L; Schmidt, Jesper Hvass; Hammershøi, Dorte Speech related hearing aid benefit index derived from standardized self-reported questionnaire data Conference Poster presentation at the International Symposium on Auditory and Audiological Research: Vol. 7: Auditory Learning in Biological and Artificial Systems, (SP.50), The Danavox Jubilee Foundation 2019. @conference{isaar2019skn, title = {Speech related hearing aid benefit index derived from standardized self-reported questionnaire data}, author = {Sreeram Kaithali Narayanan and Tobias Piechowiak and Anne Wolff and Sabina Storbjerg Houmøller and Vijay Narne and Gérard Loquet and Dan Dupont Hougaard and Michael L Gaihede and Jesper Hvass Schmidt and Dorte Hammershøi}, url = {https://whova.com/embedded/speaker_session_detail/isaar_201908/701058/}, year = {2019}, date = {2019-08-21}, booktitle = {Poster presentation at the International Symposium on Auditory and Audiological Research: Vol. 7: Auditory Learning in Biological and Artificial Systems}, number = {SP.50}, organization = {The Danavox Jubilee Foundation}, abstract = {Speech understanding in noisy environments has been the most desired hearing aid (HA) benefit sought by hearing aid users. This paper examines the possibility of developing a speech related HA benefit index from correlated speech related questions from three different self-reported questionnaire's (SSQ12, IOI-HA, and 15D). The 4 questions in SSQ12 (question number 1,4,11 and 12), 3 questions in IOI-HA(question number 3,5 and 6) and 3rd question from health-related quality of life questionnaire 15D relating to speech were found correlated and are chosen for further analysis. After the normalization of the relevant questions, a principal component analysis (PCA) is used to reduce the dimensionality and determine the coefficients. The resultant coefficients are used to create a common speech related HA benefit index.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Speech understanding in noisy environments has been the most desired hearing aid (HA) benefit sought by hearing aid users. This paper examines the possibility of developing a speech related HA benefit index from correlated speech related questions from three different self-reported questionnaire's (SSQ12, IOI-HA, and 15D). The 4 questions in SSQ12 (question number 1,4,11 and 12), 3 questions in IOI-HA(question number 3,5 and 6) and 3rd question from health-related quality of life questionnaire 15D relating to speech were found correlated and are chosen for further analysis. After the normalization of the relevant questions, a principal component analysis (PCA) is used to reduce the dimensionality and determine the coefficients. The resultant coefficients are used to create a common speech related HA benefit index. |
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@dtu.dk
Tech Service
Industry
Oticon
Karen Wibling Solgård
kaws@oticon.dk
GN Resound
Nikolai Bisgaard
nbisgaard@gnresound.com
WSAudiology
Filip Marchman Rønne
filip.roenne@wsa.com