Unobtrusive Monitoring of Sleep Patterns

A. M. Adami, T. L. Hayes, M. Pavel

Research output: Contribution to journalConference articlepeer-review

43 Scopus citations


Disrupted sleep is a common problem in the elderly, due to age-related changes in health, lifestyle, and the physiological aspects of sleep. Severe sleep disturbances lead to impaired functioning, reduced quality of life, and increased health care costs. Therefore, monitoring of sleep patterns in the elderly is important. However, current methods for monitoring sleep are inadequate. In this paper, we use load cells for unobtrusive continuous monitoring of sleep patterns. Load cells are placed under a bed, and sleep characteristics such as bedtime, wake up time, and number and duration of naps are inferred from the load cell data. Using information from each load cell individually, we can also identify a person's position in bed, and, consequently, detect position shifts. We describe the algorithms for computation of the sleep characteristics and for assessment of the person's position in bed. We conclude by discussing the limitations in our approach, and the work we intend to pursue in the future.

Original languageEnglish (US)
Pages (from-to)1360-1363
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - 2003
EventA New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003


  • Aging
  • Home health
  • Sleep monitoring
  • Sleep patterns
  • Unobtrusive sensors

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics


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