Estimation of rest-activity patterns using motion sensors.

Tamara L. Hayes; Thomas Riley; Misha Pavel; Jeffrey A. Kaye

Estimation of rest-activity patterns using motion sensors.

Tamara L. Hayes, Thomas Riley, Misha Pavel, Jeffrey A. Kaye

Research output: Contribution to journal › Article › peer-review

Abstract

Disrupted sleep patterns are a significant problem in the elderly, leading to increased cognitive dysfunction and risk of nursing home placement. A cost-effective and unobtrusive way to remotely monitor changing sleep patterns over time would enable improved management of this important health problem. We have developed an algorithm to derive sleep parameters such as bed time, rise time, sleep latency, and nap time from passive infrared sensors distributed around the home. We evaluated this algorithm using 404 days of data collected in the homes of 8 elderly community-dwelling elders. Data from this algorithm were highly correlated to ground truth measures (bed mats) and were surprisingly robust to variability in sensor layout and sleep habits.

Original language	English (US)
Pages (from-to)	2147-2150
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
State	Published - 2010
Externally published	Yes

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

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Estimation of rest-activity patterns using motion sensors. / Hayes, Tamara L.; Riley, Thomas; Pavel, Misha et al.
In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2010, p. 2147-2150.

Research output: Contribution to journal › Article › peer-review

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Estimation of rest-activity patterns using motion sensors.

Abstract

ASJC Scopus subject areas

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