The Discrete Wavelet Transform using a phase-shifted Haar function provides a rapid and highly sensitive method for automatic detection of rapid eye movements in sleep EOG data.
May streamline automated sleep analysis; leaves open clinical validation before routine use.
In order to detect rapid eye movements (REM) automatically, the Discrete Wavelet Transform was applied to each 8-s segment of electrooculogram (EOG) data for 30 min of 8 h of normal sleep. The Haar function was used as an analysing wavelet because this function is similar to the REM waveform. By shifting the phase of the analysing wavelet by pi/4 of the function, 96% of REM could be detected. The artifacts caused by body movements could be detected simultaneously by this method. Computing time required for the detection of REM was only 11 s for 30 min EOG data.
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Tsuji et al. (2000) studied this question.
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