Tags

Type your tag names separated by a space and hit enter

Assessment of hearing aid algorithms using a master hearing aid: the influence of hearing aid experience on the relationship between speech recognition and cognitive capacity.
Int J Audiol. 2018 06; 57(sup3):S105-S111.IJ

Abstract

OBJECTIVES

Model-based hearing aid development considers the assessment of speech recognition using a master hearing aid (MHA). It is known that aided speech recognition in noise is related to cognitive factors such as working memory capacity (WMC). This relationship might be mediated by hearing aid experience (HAE). The aim of this study was to examine the relationship of WMC and speech recognition with a MHA for listeners with different HAE.

DESIGN

Using the MHA, unaided and aided 80% speech recognition thresholds in noise were determined. Individual WMC capacity was assed using the Verbal Learning and Memory Test (VLMT) and the Reading Span Test (RST).

STUDY SAMPLE

Forty-nine hearing aid users with mild to moderate sensorineural hearing loss divided into three groups differing in HAE.

RESULTS

Whereas unaided speech recognition did not show a significant relationship with WMC, a significant correlation could be observed between WMC and aided speech recognition. However, this only applied to listeners with HAE of up to approximately three years, and a consistent weakening of the correlation could be observed with more experience.

CONCLUSIONS

Speech recognition scores obtained in acute experiments with an MHA are less influenced by individual cognitive capacity when experienced HA users are taken into account.

Authors+Show Affiliations

a Jean Uhrmacher Institute for Clinical ENT-Research, University of Cologne , Cologne , Germany.b Hoerzentrum Oldenburg GmbH , Oldenburg , Germany.b Hoerzentrum Oldenburg GmbH , Oldenburg , Germany.c Justus-Liebig-University Giessen , Giessen , Germany , and.a Jean Uhrmacher Institute for Clinical ENT-Research, University of Cologne , Cologne , Germany. d Department of Otorhinolaryngology, Head and Neck Surgery , University of Cologne , Cologne , Germany.a Jean Uhrmacher Institute for Clinical ENT-Research, University of Cologne , Cologne , Germany.

Pub Type(s)

Comparative Study
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

28449597

Citation

Rählmann, Sebastian, et al. "Assessment of Hearing Aid Algorithms Using a Master Hearing Aid: the Influence of Hearing Aid Experience On the Relationship Between Speech Recognition and Cognitive Capacity." International Journal of Audiology, vol. 57, no. sup3, 2018, pp. S105-S111.
Rählmann S, Meis M, Schulte M, et al. Assessment of hearing aid algorithms using a master hearing aid: the influence of hearing aid experience on the relationship between speech recognition and cognitive capacity. Int J Audiol. 2018;57(sup3):S105-S111.
Rählmann, S., Meis, M., Schulte, M., Kieβling, J., Walger, M., & Meister, H. (2018). Assessment of hearing aid algorithms using a master hearing aid: the influence of hearing aid experience on the relationship between speech recognition and cognitive capacity. International Journal of Audiology, 57(sup3), S105-S111. https://doi.org/10.1080/14992027.2017.1319079
Rählmann S, et al. Assessment of Hearing Aid Algorithms Using a Master Hearing Aid: the Influence of Hearing Aid Experience On the Relationship Between Speech Recognition and Cognitive Capacity. Int J Audiol. 2018;57(sup3):S105-S111. PubMed PMID: 28449597.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Assessment of hearing aid algorithms using a master hearing aid: the influence of hearing aid experience on the relationship between speech recognition and cognitive capacity. AU - Rählmann,Sebastian, AU - Meis,Markus, AU - Schulte,Michael, AU - Kieβling,Jürgen, AU - Walger,Martin, AU - Meister,Hartmut, Y1 - 2017/04/27/ PY - 2017/4/30/pubmed PY - 2019/9/19/medline PY - 2017/4/29/entrez KW - Model-based algorithms KW - master hearing aid KW - speech recognition KW - working memory SP - S105 EP - S111 JF - International journal of audiology JO - Int J Audiol VL - 57 IS - sup3 N2 - OBJECTIVES: Model-based hearing aid development considers the assessment of speech recognition using a master hearing aid (MHA). It is known that aided speech recognition in noise is related to cognitive factors such as working memory capacity (WMC). This relationship might be mediated by hearing aid experience (HAE). The aim of this study was to examine the relationship of WMC and speech recognition with a MHA for listeners with different HAE. DESIGN: Using the MHA, unaided and aided 80% speech recognition thresholds in noise were determined. Individual WMC capacity was assed using the Verbal Learning and Memory Test (VLMT) and the Reading Span Test (RST). STUDY SAMPLE: Forty-nine hearing aid users with mild to moderate sensorineural hearing loss divided into three groups differing in HAE. RESULTS: Whereas unaided speech recognition did not show a significant relationship with WMC, a significant correlation could be observed between WMC and aided speech recognition. However, this only applied to listeners with HAE of up to approximately three years, and a consistent weakening of the correlation could be observed with more experience. CONCLUSIONS: Speech recognition scores obtained in acute experiments with an MHA are less influenced by individual cognitive capacity when experienced HA users are taken into account. SN - 1708-8186 UR - https://www.unboundmedicine.com/medline/citation/28449597/Assessment_of_hearing_aid_algorithms_using_a_master_hearing_aid:_the_influence_of_hearing_aid_experience_on_the_relationship_between_speech_recognition_and_cognitive_capacity_ L2 - https://www.tandfonline.com/doi/full/10.1080/14992027.2017.1319079 DB - PRIME DP - Unbound Medicine ER -