Multichannel search strategy for improving the detection of auditory steady-state response

Auditory steady-state response (ASSR) is useful for hearing threshold estimation. The ASSR is usually detected with objective response detectors (ORD). The performance of these detectors depends on the signal-to-noise ratio (SNR) as well as the signal length. Since it is undesirable to increase the...

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Bibliographic Details
Published in:Medical & biological engineering & computing 2021-02, Vol.59 (2), p.391-399
Main Authors: Antunes, Felipe, Zanotelli, Tiago, Simpson, David Martin, Felix, Leonardo Bonato
Format: Article
Language:English
Subjects:
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Calibration
Computer Applications
Derivation
Detectors
EEG
Electroencephalography
Human Physiology
Imaging
Original Article
Radiology
Search methods
Signal to noise ratio
Steady state
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Summary:Auditory steady-state response (ASSR) is useful for hearing threshold estimation. The ASSR is usually detected with objective response detectors (ORD). The performance of these detectors depends on the signal-to-noise ratio (SNR) as well as the signal length. Since it is undesirable to increase the signal length, then, this work provides a multivariate technique for improving the SNR and consequently the detection power. We propose the insertion of a short calibration step before the detection protocol, in order to perform a search among the available electroencephalogram (EEG) derivations and select the derivation with the highest SNR. The ORD used in this work was the magnitude-squared coherence (MSC). The standard detection protocol is to use the same EEG derivation in all exams. Using 22-scalp positions, the new technique achieved a detection rate higher than that obtained in 99.13% of the standard detection protocol. When restrictions were applied to the search, a superior performance was achieved. Thus, the technique proposed was able to track the best EEG derivations before exams and seems to be able to deal with the variability between individuals and between sessions. Graphical abstract
ISSN:0140-0118
1741-0444
DOI:10.1007/s11517-021-02323-z