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An Activity-Based Sleep Monitor System for Ambulatory Use
Open accessAbstract
Wrist activity measured with a piezoceramic transducer was digitized and analyzed together with subjects' sleep/wake status to derive an optimal method for automatic computer sleep/wake scoring. Several algorithms for quantifying periods of activity were considered, and an algorithm that summed changes in activity level over a 2-s interval was found most sensitive. A computer program for scoring sleep/wake from the resulting digital activity records was then developed, and parameters derived by comparison with subjects' sleep/wake status as determined by EEG. EEG and activity sleep/wake scores agreed 94.46% of the time. A further prospective test of the automatic scoring system with new data yielded agreement of 96.02%. Finally, the data collection and recording functions were implemented in a wearable microprocessor-based digital activity monitor. The automatic scoring program was adjusted to use activity data collected by this monitor, and agreed 93.88% with EEG scoring. A prospective test with new data agreed 93.04% with EEG. Automatic scoring of activity data for sleep/wake is not only fast and accurate, but allows sleep to be monitored in non-laboratory situations. In addition, the score is objective and reliable, and free of scorer bias and drift.
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Jean-Louis, G., Kripke, D. F., Ancoli-Israel, S., Klauber, M. R., & Sepulveda, R. S. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00169-9 · Cited by 202
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Metadata
- Authors
- Webster, J. B., Kripke, D. F., Messin, S., Mullaney, D. J., & Wyborney, G.
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 1982-09
- Volume
- 5
- Issue
- 4
- Pages
- 389-399
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- OpenAlex
- W72748393
- Cited by
- 278
- References
- 0
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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