title: Early detection of health changes in older adults.
abstract: We have placed a network of sensors in a residential home for the elderly who are aging in place. Restlessness data is displayed as graph of event counts detected by sensors over some time interval, typically a day. This data is related to the actual activities as recorded by the resident. We show two cases of elderly individuals. In both cases the individuals underwent surgery. The restlessness indicators showed changes in patterns that were related to those events. Analyzing the data even at this level we gain increased confidence that technology will be a welcome addition as the population ages and require increasing care.
authors.affiliation: Electrical and Computer Engineering, University of Missouri Columbia, Columbia, MO 65211, USA. tyrerh@missouri.edu
authors.forename: Harry W
authors.initials: HW
authors.lastname: Tyrer
authors.forename: Myra A
authors.initials: MA
authors.lastname: Aud
authors.forename: Gregory
authors.initials: G
authors.lastname: Alexander
authors.forename: Marjorie
authors.initials: M
authors.lastname: Skubic
authors.forename: Marilyn
authors.initials: M
authors.lastname: Rantz
mesh_terms: D000203:Activities of Daily Living; D000369:Aged, 80 and over; D019645:Arthroplasty, Replacement, Knee; D002318:Cardiovascular Diseases / Q000601:surgery; D003935:Diagnostic Techniques, Cardiovascular / Q000295:instrumentation; D006798:Housing; D006801:Humans; D008297:Male; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods*