Literature DB >> 28796603

Ear-EEG-Based Objective Hearing Threshold Estimation Evaluated on Normal Hearing Subjects.

Christian Bech Christensen, James Michael Harte, Thomas Lunner, Preben Kidmose.   

Abstract

OBJECTIVE: Hearing threshold levels have been estimated successfully in the clinic using the objective electroencephalogram (EEG) based technique of auditory steady-state response (ASSR). The recent method of ear-EEG could enable ASSR hearing tests to be performed in everyday life, rather than in a specialized clinic, enabling cheaper and easier monitoring of audiometric thresholds over time. The objective of the current study was to evaluate the feasibility of ear-EEG in audiometric characterization of auditory sensitivity thresholds.
METHODS: An ear-EEG setup was used to estimate ASSR hearing threshold levels to CE-chirp stimuli (with center frequencies 0.5, 1, 2, and 4 kHz) from four different electrode configurations including conventional scalp configuration, ear electrode with scalp reference, ear electrode with reference in the opposite ear and ear electrode with reference in the same ear. To evaluate the ear-EEG setup, ASSR thresholds estimated using ear-EEG were compared to ASSR thresholds estimated using standardized audiological equipment.
RESULTS: The SNRs of in-ear ear-EEG recordings were found to be on average 2.7 to 6.5 dB lower than SNRs of conventional scalp EEG. Thresholds estimated from in-ear referenced ear-EEG were on average 15.0 ± 3.4, 9.1 ± 4.4, 12.5 ± 3.7, and 12.1 ± 2.6 dB above scalp EEG thresholds for 0.5, 1, 2, and 4 kHz, respectively.
CONCLUSION: We demonstrate that hearing threshold levels can be estimated from ear-EEG recordings made from electrodes placed in one ear. SIGNIFICANCE: Objective hearing threshold estimation based on ear-EEG can be integrated into hearing aids, thereby allowing hearing assessment to be performed by the hearing instrument on a regular basis.

Entities:  

Mesh:

Year:  2017        PMID: 28796603     DOI: 10.1109/TBME.2017.2737700

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

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8.  Evaluation of Real-Time Endogenous Brain-Computer Interface Developed Using Ear-Electroencephalography.

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  8 in total

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