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Personalized functional health and fall risk prediction using electronic health records and in-home sensor data
(University of Missouri--Columbia, 2021)
residents were used to develop a composite functional health prediction model using Activities of Daily Living (ADL), Instrumental Activities of Daily Living (IADL), Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS), and Short Form 12...
Kinematic assessment for stroke patients in a stroke game and a daily activity recognition and assessment system
(University of Missouri--Columbia, 2022)
the procedure and evaluate patients' recovery progress. Following the in-clinic visits, additional home practices are tailored and assigned to patients. The in-clinic visits are important to evaluate recovery progress. The information collected can then help...
RF sensing and processing methods for noninvasive health monitoring
(University of Missouri--Columbia, 2021)
, major depression, and hyperactivity disorder, as well as substance abuse and those who are suicidal. The social issues in vulnerable populations include those living in abusive families, the homeless, etc. This dissertation concentrates on methods...
Body-worn accelerometer-based health assessment algorithms for independent living older adults
(University of Missouri--Columbia, 2020)
The mainstream smart wearable products used for activity trackers have experienced significant growth recently. Among the older population, collecting long periods of activity data in a real-life setting is challenging ...