Towards more efficient objective tests of hearing thresholds

Phase based detection of cortical auditory responses

Darren Mao, Hamish Innes-Brown, Matthew A. Petoe, Yan T. Wong, Colette McKay

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Automated detection of the cortical auditory evoked potential (CAEP) allows for objective hearing threshold estimation, useful for non-compliant or non-capable individuals. Two methods, the commonly used Hotelling T2 statistic (which assumes stimulus-locked responses) and the Rayleigh statistic (which does not) were implemented to detect CAEPs. Results showed significant improvements using the Rayleigh statistic at 40 and 60 dB sensation levels. We have provided further evidence that the CAEP is a useful measure for hearing threshold estimation, and improvements to automated detection are possible.

Original languageEnglish
Title of host publication2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781509058037
DOIs
Publication statusPublished - 29 Mar 2018
EventIEEE Biomedical Circuits and Systems Conference (BioCAS) 2017 - Politecnico di Torino, Torino, Italy
Duration: 19 Oct 201721 Oct 2017

Conference

ConferenceIEEE Biomedical Circuits and Systems Conference (BioCAS) 2017
Abbreviated titleBioCAS2017
CountryItaly
CityTorino
Period19/10/1721/10/17

Cite this

Mao, D., Innes-Brown, H., Petoe, M. A., Wong, Y. T., & McKay, C. (2018). Towards more efficient objective tests of hearing thresholds: Phase based detection of cortical auditory responses. In 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BIOCAS.2017.8325144
Mao, Darren ; Innes-Brown, Hamish ; Petoe, Matthew A. ; Wong, Yan T. ; McKay, Colette. / Towards more efficient objective tests of hearing thresholds : Phase based detection of cortical auditory responses. 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, 2018.
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abstract = "Automated detection of the cortical auditory evoked potential (CAEP) allows for objective hearing threshold estimation, useful for non-compliant or non-capable individuals. Two methods, the commonly used Hotelling T2 statistic (which assumes stimulus-locked responses) and the Rayleigh statistic (which does not) were implemented to detect CAEPs. Results showed significant improvements using the Rayleigh statistic at 40 and 60 dB sensation levels. We have provided further evidence that the CAEP is a useful measure for hearing threshold estimation, and improvements to automated detection are possible.",
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Mao, D, Innes-Brown, H, Petoe, MA, Wong, YT & McKay, C 2018, Towards more efficient objective tests of hearing thresholds: Phase based detection of cortical auditory responses. in 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, IEEE Biomedical Circuits and Systems Conference (BioCAS) 2017, Torino, Italy, 19/10/17. https://doi.org/10.1109/BIOCAS.2017.8325144

Towards more efficient objective tests of hearing thresholds : Phase based detection of cortical auditory responses. / Mao, Darren; Innes-Brown, Hamish; Petoe, Matthew A.; Wong, Yan T.; McKay, Colette.

2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, 2018.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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Mao D, Innes-Brown H, Petoe MA, Wong YT, McKay C. Towards more efficient objective tests of hearing thresholds: Phase based detection of cortical auditory responses. In 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers. 2018 https://doi.org/10.1109/BIOCAS.2017.8325144