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 voluntee rs 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 sign al. A classification rate of between 52% and 75% was obtained for slee p staging in the five conventional sleep stages and the awake state. T hese rates improved from 78% to 89% for classification between awake, REM and non-REM sleep and from 86% to 98% for awake versus asleep clas sification.