Article

Estimation of rest-activity patterns using motion sensors.

Biomedical Engineering Department (BME) and the Oregon Center for Aging and Technology (ORCATECH), Oregon Health & Science University (OHSU), 3303 SW Bond Avenue, Portland, OR 97239, USA.
Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 01/2010; 2010:2147-50. DOI:10.1109/IEMBS.2010.5628022 pp.2147-50
Source: PubMed

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.

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Keywords

8 elderly community-dwelling elders
 
bed mats
 
bed time
 
cognitive dysfunction
 
Disrupted
 
elderly
 
health problem
 
homes
 
latency
 
nap time
 
nursing home placement
 
passive infrared sensors
 
rise time
 
significant problem
 
unobtrusive way