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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...
Data-driven methods for analyzing ballistocardiograms in longitudinal cardiovascular monitoring
(University of Missouri--Columbia, 2019)
Cardiovascular disease (CVD) is the leading cause of death in the US; about 48% of American adults have one or more types of CVD. The importance of continuous monitoring of the older population, for early detection of ...
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 ...
Investigation of the effects of body type on accelerometer based fall detection
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Precision or personalized medicine follows the idea that analyzing a patient's genome can help stratify patients into treatment groups [1] ...
Investigation of the effects of body type on accelerometer based fall detection
(University of Missouri--Columbia, 2019)
Precision or personalized medicine follows the idea that analyzing a patient's genome can help stratify patients into treatment groups. Patients with cancer, for example, are split into groups based on the genetic make-up, ...
Automated and non-contact human finger range of motion measurement system
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Measurement of finger active range of motion (ROM) is essential for monitoring the effectiveness of rehabilitative treatments and for evaluating patients' ...