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Unobtrusive assessment of activity patterns associated with mild cognitive impairment
Author(s) -
Hayes Tamara L.,
Abendroth Francena,
Adami Andre,
Pavel Misha,
Zitzelberger Tracy A.,
Kaye Jeffrey A.
Publication year - 2008
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2008.07.004
Subject(s) - cognitive impairment , medicine , audiology , activities of daily living , cognition , analysis of variance , gerontology , physical medicine and rehabilitation , healthy aging , physical therapy , psychology , psychiatry
Background Timely detection of early cognitive impairment is difficult. Measures taken in the clinic reflect a single snapshot of performance that might be confounded by the increased variability typical in aging and disease. We evaluated the use of continuous, long‐term, and unobtrusive in‐home monitoring to assess neurologic function in healthy and cognitively impaired elders. Methods Fourteen older adults 65 years and older living independently in the community were monitored in their homes by using an unobtrusive sensor system. Measures of walking speed and amount of activity in the home were obtained. Wavelet analysis was used to examine variance in activity at multiple time scales. Results More than 108,000 person‐hours of continuous activity data were collected during periods as long as 418 days (mean, 315 ± 82 days). The coefficient of variation in the median walking speed was twice as high in the mild cognitive impairment (MCI) group (0.147 ± 0.074) as compared with the healthy group (0.079 ± 0.027; t 11 = 2.266, P < .03). Furthermore, the 24‐hour wavelet variance was greater in the MCI group (MCI, 4.07 ± 0.14; healthy elderly, 3.79 ± 0.23; F = 7.58, P ≤ .008), indicating that the day‐to‐day pattern of activity of subjects in the MCI group was more variable than that of the cognitively healthy controls. Conclusions The results not only demonstrate the feasibility of these methods but also suggest clear potential advantages to this new methodology. This approach might provide an improved means of detecting the earliest transition to MCI compared with conventional episodic testing in a clinic environment.