Assessment of sleep/wake patterns using a non-contact biomotion sensor

Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:514-7. doi: 10.1109/IEMBS.2008.4649203.


We evaluate a contact-less continuous measuring system measuring respiration and activity patterns system for identifying sleep/wake patterns in adult humans. The system is based on the use of a novel non-contact biomotion sensor, and an automated signal analysis and classification system. The sleep/wake detection algorithm combines information from respiratory frequency, magnitude, and movement to assign 30 s epochs to either wake or sleep. Comparison to a standard polysomnogram system utilizing manual sleep stage classification indicates excellent results. It has been validated on overnight studies from 12 subjects. Wake state was correctly identified 69% and sleep with 88%. Due to its ease-of-use and good performance, the device is an excellent tool for long term monitoring of sleep patterns in the home environment in an ultraconvenient fashion.

MeSH terms

  • Diagnosis, Computer-Assisted / methods*
  • Equipment Design
  • Equipment Failure Analysis
  • Humans
  • Motor Activity / physiology*
  • Pattern Recognition, Automated / methods*
  • Polysomnography / instrumentation*
  • Polysomnography / methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Transducers*
  • Wakefulness / physiology*