Improving Auditory Steady-State Response Detection Using Independent Component Analysis on Multichannel EEG Data

Over the last decade, the detection of auditory steady-state responses (ASSR) has been developed for reliable hearing threshold estimation at audiometric frequencies. Unfortunately, the duration of ASSR measurement can be long, which is unpractical for wide scale clinical application. In this paper,...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2007-07, Vol.54 (7), p.1220-1230
Main Authors: Van Dun, Bram, Wouters, Jan, Moonen, Marc
Format: Article
Language:English
Subjects:
Algorithms
Audiometry, Evoked Response - methods
Auditory steady-state response
Auditory system
Deafness
Diagnosis, Computer-Assisted - methods
Ear
electroencephalogram
Electroencephalography
Electroencephalography - methods
Evoked Potentials, Auditory - physiology
Frequency estimation
Frequency modulation
Humans
Independent component analysis
multichannel
Pediatrics
Principal Component Analysis - methods
Reproducibility of Results
Sensitivity and Specificity
Steady-state
Testing
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Summary:Over the last decade, the detection of auditory steady-state responses (ASSR) has been developed for reliable hearing threshold estimation at audiometric frequencies. Unfortunately, the duration of ASSR measurement can be long, which is unpractical for wide scale clinical application. In this paper, we propose independent component analysis (ICA) as a tool to improve the ASSR detection in recorded single-channel as well as multichannel electroencephalogram (EEG) data. We conclude that ICA is able to reduce measurement duration significantly. For a multichannel implementation, near-optimal performance is obtained with five-channel recordings.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2007.897327