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Investigation of sleep stages identification with time-scale based parameters

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5 Author(s)
Akçay, B. ; Elektr. ve Elektron. Muhendisligi Bolumu, Ege Univ., Izmir, Turkey ; Engin, M. ; Engin, E.Z. ; Çoşkun, S.
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In this study, the time-scale based analysis of EEG signals is shown for recognition of sleep stages. The EEG signals from healthy subjects are analyzed by Scalogram method in the time-scale domain. We observed that statistical parameters, the average gray level and measure of uniformity extracted from the energy distribution images, are found to be effective on the recognition of sleep stages.

Published in:

Biomedical Engineering Meeting (BIYOMUT), 2010 15th National

Date of Conference:

21-24 April 2010