| Literature DB >> 8514443 |
Abstract
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.Entities:
Mesh:
Year: 1993 PMID: 8514443 DOI: 10.1016/0020-7101(93)90021-w
Source DB: PubMed Journal: Int J Biomed Comput ISSN: 0020-7101