Speech related hearing aid benefit index derived from standardized self-reported questionnaire data

Sreeram Kaithali Narayanan; Tobias Piechowiak; Anne Wolff; Sabina Storbjerg Houmøller; Vijay Narne; Gérard Sylvian Jean Marie Loquet; Dan Dupont Hougaard; Michael Gaihede; Jesper Hvass Schmidt; Dorte Hammershøi

Speech related hearing aid benefit index derived from standardized self-reported questionnaire data

Sreeram Kaithali Narayanan, Tobias Piechowiak, Anne Wolff, Sabina Storbjerg Houmøller, Vijay Narne, Gérard Sylvian Jean Marie Loquet, Dan Dupont Hougaard, Michael Gaihede, Jesper Hvass Schmidt, Dorte Hammershøi

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

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.

Original language	English
Publication date	22 Aug 2019
Number of pages	1
Publication status	Published - 22 Aug 2019
Event	International Symposium on Auditory and Audiological Research: Auditory Learning in Biological and Artificial Systems - Hotel Nyborg Strand, Nyborg, Denmark Duration: 21 Aug 2019 → 23 Aug 2019 http://isaar.eu/

Conference

Conference	International Symposium on Auditory and Audiological Research
Location	Hotel Nyborg Strand
Country/Territory	Denmark
City	Nyborg
Period	21/08/2019 → 23/08/2019
Internet address	http://isaar.eu/

Access to Document

https://www.isaar.eu/programme/isaar2019-programme.pdf

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

Narayanan, S. K., Piechowiak, T., Wolff, A., Houmøller, S. S., Narne, V., Loquet, G. S. J. M., Hougaard, D. D., Gaihede, M., Schmidt, J. H., & Hammershøi, D. (2019). Speech related hearing aid benefit index derived from standardized self-reported questionnaire data. 99-99. Abstract from International Symposium on Auditory and Audiological Research, Nyborg, Denmark. https://www.isaar.eu/programme/isaar2019-programme.pdf

@conference{46ca45015f204f878cf3a9c075bf3625,

title = "Speech related hearing aid benefit index derived from standardized self-reported questionnaire data",

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.",

author = "Narayanan, {Sreeram Kaithali} and Tobias Piechowiak and Anne Wolff and Houm{\o}ller, {Sabina Storbjerg} and Vijay Narne and Loquet, {G{\'e}rard Sylvian Jean Marie} and Hougaard, {Dan Dupont} and Michael Gaihede and Schmidt, {Jesper Hvass} and Dorte Hammersh{\o}i",

year = "2019",

month = aug,

day = "22",

language = "English",

pages = "99--99",

note = "International Symposium on Auditory and Audiological Research ; Conference date: 21-08-2019 Through 23-08-2019",

url = "http://isaar.eu/",

}

Narayanan, SK, Piechowiak, T, Wolff, A, Houmøller, SS, Narne, V, Loquet, GSJM, Hougaard, DD , Gaihede, M, Schmidt, JH & Hammershøi, D 2019, 'Speech related hearing aid benefit index derived from standardized self-reported questionnaire data', International Symposium on Auditory and Audiological Research, Nyborg, Denmark, 21/08/2019 - 23/08/2019 pp. 99-99. <https://www.isaar.eu/programme/isaar2019-programme.pdf>

Speech related hearing aid benefit index derived from standardized self-reported questionnaire data. / Narayanan, Sreeram Kaithali; Piechowiak, Tobias; Wolff, Anne et al.
2019. 99-99 Abstract from International Symposium on Auditory and Audiological Research, Nyborg, Denmark.

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Speech related hearing aid benefit index derived from standardized self-reported questionnaire data

AU - Narayanan, Sreeram Kaithali

AU - Piechowiak, Tobias

AU - Wolff, Anne

AU - Houmøller, Sabina Storbjerg

AU - Narne, Vijay

AU - Loquet, Gérard Sylvian Jean Marie

AU - Hougaard, Dan Dupont

AU - Gaihede, Michael

AU - Schmidt, Jesper Hvass

AU - Hammershøi, Dorte

PY - 2019/8/22

Y1 - 2019/8/22

N2 - 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.

AB - 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.

UR - https://whova.com/embedded/speaker_session_detail/isaar_201908/701058/

M3 - Conference abstract for conference

SP - 99

EP - 99

T2 - International Symposium on Auditory and Audiological Research

Y2 - 21 August 2019 through 23 August 2019

ER -

Speech related hearing aid benefit index derived from standardized self-reported questionnaire data

Abstract

Conference

Access to Document

AUB Link

Other files and links

BEAR: Better Hearing Rehabilitation

First-Year Hearing-Aid Use and Self-Reported Outcomes in Adults