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In this study, the Electrocardiogram (ECG) and Electroencephalogram (EEG) data recorded during day time short nap were analyzed. The ultimate purpose is to find out effective ECG features combined with usual EEG features for sleep stage determination during day time nap. Firstly, the ECG data was pre-processed in order to eliminate artifacts. After preprocessing, the second-order derivative of the...
This paper presented a simple method of detecting the peak of R wave in Electrocardiogram (ECG) signal and computing the Heart Rate Variability (HRV). Features were extracted from the obtained HRV to analyze the vigilance level during day time short nap sleep. Firstly, the second derivative of ECG signal was calculated and clustered in order to detect the peak of R wave. Secondly, HRV was calculated...
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