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Optimal electrode selection for multi-channel electroencephalogram based detection of auditory steady-state responses.
- Source :
- Journal of the Acoustical Society of America; Jul2009, Vol. 126 Issue 1, p254-268, 15p, 1 Diagram, 5 Charts, 3 Graphs
- Publication Year :
- 2009
-
Abstract
- Auditory steady-state responses (ASSRs) are used for hearing threshold estimation at audiometric frequencies. Hearing impaired newborns, in particular, benefit from this technique as it allows for a more precise diagnosis than traditional techniques, and a hearing aid can be better fitted at an early age. However, measurement duration of current single-channel techniques is still too long for clinical widespread use. This paper evaluates the practical performance of a multi-channel electroencephalogram (EEG) processing strategy based on a detection theory approach. A minimum electrode set is determined for ASSRs with frequencies between 80 and 110 Hz using eight-channel EEG measurements of ten normal-hearing adults. This set provides a near-optimal hearing threshold estimate for all subjects and improves response detection significantly for EEG data with numerous artifacts. Multi-channel processing does not significantly improve response detection for EEG data with few artifacts. In this case, best response detection is obtained when noise-weighted averaging is applied on single-channel data. The same test setup (eight channels, ten normal-hearing subjects) is also used to determine a minimum electrode setup for 10-Hz ASSRs. This configuration allows to record near-optimal signal-to-noise ratios for 80% of subjects. [ABSTRACT FROM AUTHOR]
- Subjects :
- ELECTRODES
ELECTROENCEPHALOGRAPHY
AUDITORY perception
AUDIOMETRY
ELECTROPHYSIOLOGY
Subjects
Details
- Language :
- English
- ISSN :
- 00014966
- Volume :
- 126
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of the Acoustical Society of America
- Publication Type :
- Academic Journal
- Accession number :
- 43211665
- Full Text :
- https://doi.org/10.1121/1.3133872