Investigation of sleep stages identification with time-scale based parameters
Conference paper > Full Text
Authors: Baycan Akcay, Mehmet ENGİN, Erkan Zeki ENGİN, Seyhan Coskun, Gungor Polat
2010 15th National Biomedical Engineering Meeting, , , International, Full Text, pp 1-4
DOI: 10.1109/biyomut.2010.5479848
Summary
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.