TY - JOUR
T1 - Evaluating changes in gait and activity associated with cognitive impairment using a home-based technology platform
AU - Thomas, Neil W.
AU - Agarwal, Ashi
AU - Ault, Laura
AU - Lariviere-Chartier, Julien
AU - Kingstone, Lysa Legault
AU - Wallace, Bruce
AU - Knoefel, Frank
AU - Goubran, Rafik
AU - Beattie, Zachary
AU - Kaye, Jeffrey A.
N1 - Publisher Copyright:
© 2021 the Alzheimer's Association.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - BACKGROUND: Changes in mobility are associated with cognitive decline in older adults. Mobility is frequently assessed in the clinic setting at episodic intervals. Passive sensors within a home-based technology platform allow for unobtrusive collection of mobility and gait information over an extended time period. This method of high-frequency data collection could be sensitive to early changes in mobility associated with cognitive decline. METHOD: We present data for a cohort of 32 participants living alone and enrolled in the Collaborative Aging Research Using Technology (CART) Initiative aging study with a pervasive sensing and computing system deployed in their homes. Sixteen individuals with a Clinical Dementia Rating (CDR) scale score of 0.5 were matched by age, sex and education to 16 participants with a CDR of 0; 80% lived in low-income senior apartments; 6% were non-white. Mobility and gait data is derived from a gait line, consisting of four ceiling mounted, field-of-view restricted passive infrared motion sensors placed 61 cm apart in a line, in each home. The number of walking events, defined as all four sensors being triggered, was analyzed between the two groups. RESULT: Participants with a CDR score of 0 had a mean age of 72.1 years and a mean MoCA score of 26.1 (range 21 - 30). Participants with a CDR score of 0.5 had a mean age of 72.2 and a mean MoCA score of 22.1 (range 15 - 27). Fifty-six percent of participants in each group were female. Preliminary data from the gait line from a combined 1400 days for CDR 0 participants and a combined 1250 days for CDR 0.5 participants is presented here. The mean number of daily walking events detected by the gait line was significantly greater for CDR 0 participants (101.4) compared to CDR 0.5 participants (92.8, p=0.03). CONCLUSION: Ambient sensors are able to collect longitudinal data on gait and activity levels in individuals with a technology platform deployed within their home. This unobtrusive remote mobility assessment methodology identifies individuals experiencing cognitive impairment. Further evaluation of other gait metrics and home-based activity patterns is ongoing to explore their association with changes in cognition.
AB - BACKGROUND: Changes in mobility are associated with cognitive decline in older adults. Mobility is frequently assessed in the clinic setting at episodic intervals. Passive sensors within a home-based technology platform allow for unobtrusive collection of mobility and gait information over an extended time period. This method of high-frequency data collection could be sensitive to early changes in mobility associated with cognitive decline. METHOD: We present data for a cohort of 32 participants living alone and enrolled in the Collaborative Aging Research Using Technology (CART) Initiative aging study with a pervasive sensing and computing system deployed in their homes. Sixteen individuals with a Clinical Dementia Rating (CDR) scale score of 0.5 were matched by age, sex and education to 16 participants with a CDR of 0; 80% lived in low-income senior apartments; 6% were non-white. Mobility and gait data is derived from a gait line, consisting of four ceiling mounted, field-of-view restricted passive infrared motion sensors placed 61 cm apart in a line, in each home. The number of walking events, defined as all four sensors being triggered, was analyzed between the two groups. RESULT: Participants with a CDR score of 0 had a mean age of 72.1 years and a mean MoCA score of 26.1 (range 21 - 30). Participants with a CDR score of 0.5 had a mean age of 72.2 and a mean MoCA score of 22.1 (range 15 - 27). Fifty-six percent of participants in each group were female. Preliminary data from the gait line from a combined 1400 days for CDR 0 participants and a combined 1250 days for CDR 0.5 participants is presented here. The mean number of daily walking events detected by the gait line was significantly greater for CDR 0 participants (101.4) compared to CDR 0.5 participants (92.8, p=0.03). CONCLUSION: Ambient sensors are able to collect longitudinal data on gait and activity levels in individuals with a technology platform deployed within their home. This unobtrusive remote mobility assessment methodology identifies individuals experiencing cognitive impairment. Further evaluation of other gait metrics and home-based activity patterns is ongoing to explore their association with changes in cognition.
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U2 - 10.1002/alz.056085
DO - 10.1002/alz.056085
M3 - Article
C2 - 34971044
AN - SCOPUS:85123036655
SN - 1552-5260
VL - 17
SP - e056085
JO - Alzheimer's & dementia : the journal of the Alzheimer's Association
JF - Alzheimer's & dementia : the journal of the Alzheimer's Association
ER -