TY - JOUR
T1 - Home-Based Assessment of Cognition and Health Measures
T2 - The Collaborative Aging Research Using Technology (CART) Initiative and International Collaborations
AU - Thomas, Neil W.
AU - Beattie, Zachary
AU - Riley, Thomas
AU - Hofer, Scott
AU - Kaye, Jeffrey
N1 - Funding Information:
Research supported by the AGE-WELL Platform Project Program (AW-PP2019-PP5). This research was supported in part by: the Collaborative Aging-in-place Research Using Technology (CART) initiative (National Institutes of Health U2C AG0543701; Department of Veteran Affairs Health Services Research and Development IIR 17-144); the Oregon Clinical Translational Research Institute CTSA award (National Center for Advancing Translational Sciences UL1 TR002369); the Oregon Center for Aging & Technology (P30AG024978); and the Oregon Aging & Alzheimer’s Disease Research Center (P30AG066518). CART is funded by: the Office Of The Director, National Institutes Of Health (OD); National Center For Advancing Translational Sciences (NCATS); National Institute of Biomedical Imaging And Bioengineering (NIBIB); National Institute of Nursing Research (NINR); National Institute on Aging (NIA); National Institute of Neurological Disorders And Stroke (NINDS); National Cancer Institute (NCI); and the Departments of Veteran Affairs Health Services Research and Development (VA HSR&D). CIHR funding for the Victoria CART deployment: Scott Hofer, PI, Evaluating the Effectiveness of Integrating Patient Reported Outcomes and Assessments in the Care for Seniors with Complex Needs (e-PRO).
Publisher Copyright:
© 1998-2012 IEEE.
PY - 2021/9
Y1 - 2021/9
N2 - Home-based sensor platforms offer novel methods to evaluate individuals with cognitive impairment. Having high-frequency information on changes in health status, activity, and functioning in real-life settings could improve our ability to assess and provide care to these individuals. The insidious onset, slow progression, and day-to-day variability seen in neurodegenerative disorders make them ideal candidates for continuous forms of assessment. There have been significant advances in technologies related to the monitoring of health and well-being through pervasive computing, wearable technologies, wireless and mobile technologies, and high dimensional data analytics. High-frequency assessment with digital technologies has been demonstrated to provide earlier and more sensitive detection of changes in health, cognition, and function, with the potential to improve person-specific diagnosis, prevention, and treatment enabled by health care professionals.
AB - Home-based sensor platforms offer novel methods to evaluate individuals with cognitive impairment. Having high-frequency information on changes in health status, activity, and functioning in real-life settings could improve our ability to assess and provide care to these individuals. The insidious onset, slow progression, and day-to-day variability seen in neurodegenerative disorders make them ideal candidates for continuous forms of assessment. There have been significant advances in technologies related to the monitoring of health and well-being through pervasive computing, wearable technologies, wireless and mobile technologies, and high dimensional data analytics. High-frequency assessment with digital technologies has been demonstrated to provide earlier and more sensitive detection of changes in health, cognition, and function, with the potential to improve person-specific diagnosis, prevention, and treatment enabled by health care professionals.
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U2 - 10.1109/MIM.2021.9513638
DO - 10.1109/MIM.2021.9513638
M3 - Article
AN - SCOPUS:85112737552
SN - 1094-6969
VL - 24
SP - 68
EP - 78
JO - IEEE Instrumentation and Measurement Magazine
JF - IEEE Instrumentation and Measurement Magazine
IS - 6
M1 - 9513638
ER -