Sleep staging with movement-related signals.
Body movement related signals (i.e., activity due to postural changes and the ballistocardiac effort) were recorded from six normal volunteers using the static-charge-sensitive bed (SCSB). Visual sleep staging was performed on the basis of simultaneously recorded EEG, EMG and EOG signals. A statistical classification technique was used to determine if reliable sleep staging could be performed using only the SCSB signal. A classification rate of between 52% and 75% was obtained for sleep staging in the five conventional sleep stages and the awake state. These rates improved from 78% to 89% for classification between awake, REM and non-REM sleep and from 86% to 98% for awake versus asleep classification.
Jansen
B H
BH
Department of Electrical Engineering and Bioengineering Research Center, University of Houston, TX 77204-4793.
Shankar
K
K
D000328:Adult; D001364:Awareness / Q000502:physiology; D001450:Ballistocardiography; D001513:Beds; D002965:Classification; D016002:Discriminant Analysis; D004562:Electrocardiography; D004569:Electroencephalography; D004576:Electromyography; D004585:Electrooculography; D005260:Female; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic; D009068:Movement; D010363:Pattern Recognition, Automated; D011187:Posture / Q000502:physiology*; D012894:Sleep Stages / Q000502:physiology*; D012895:Sleep, REM / Q000502:physiology