title: Automatic detection of rapid eye movements by discrete wavelet transform.
abstract: 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.
authors.affiliation: Department of Electrical Engineering, Ashikaga Institute of Technology, Japan.
authors.forename: Y
authors.initials: Y
authors.lastname: Tsuji
authors.forename: H
authors.initials: H
authors.lastname: Satoh
authors.forename: N
authors.initials: N
authors.lastname: Itoh
authors.forename: Y
authors.initials: Y
authors.lastname: Sekiguchi
authors.forename: K
authors.initials: K
authors.lastname: Nagasawa
mesh_terms: D000465:Algorithms; D016477:Artifacts; D002540:Cerebral Cortex / Q000502:physiology; D004585:Electrooculography / Q000295:instrumentation*; D006801:Humans; D017286:Polysomnography / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012895:Sleep, REM / Q000502:physiology*