Populations with low benefit – Work areas

@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}
}