1. Optimal electrode selection for multi-channel electroencephalogram based detection of auditory steady-state responses.
- Author
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Van Dun B, Wouters J, and Moonen M
- Subjects
- Acoustic Stimulation, Adult, Algorithms, Artifacts, Auditory Threshold physiology, Evoked Potentials, Auditory, Female, Humans, Male, Models, Theoretical, Young Adult, Auditory Cortex physiology, Auditory Perception physiology, Brain Stem physiology, Electrodes, Electroencephalography instrumentation, Electroencephalography methods
- 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.
- Published
- 2009
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