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RF sensing and processing methods for noninvasive health monitoring
(University of Missouri--Columbia, 2021)
for helping two groups of vulnerable populations, namely, frail older adults and psychiatric hospital patients, to monitor their activity level, respiration rate, sleeping quality, and restless time in bed. In the first part of our work, we investigate a...
Personalized functional health and fall risk prediction using electronic health records and in-home sensor data
(University of Missouri--Columbia, 2021)
Research has shown the importance of Electronic Health Records (EHR) and in-home sensor data for continuous health tracking and health risk predictions. With the increased computational capabilities and advances in machine ...
Contactless extraction of respiratory rate from depth and thermal sensors
(University of Missouri--Columbia, 2018)
-plethysmograph (PPG), Respiratory inductance plethysmography (RIP), involve sensors that are in contact with the patient. However, we have a few scenarios such as in hospitals and senior retirement communities where we would like to non-invasively collect...
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] [2]. Patients with cancer...
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, rather than the location...
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 ...
Kinematic assessment for stroke patients in a stroke game and a daily activity recognition and assessment system
(University of Missouri--Columbia, 2022)
Stroke is the leading cause of serious, long-term disabilities among which deficits in motor abilities in arms or legs are most common. Those who suffer a stroke can recover through effective rehabilitation which is ...
Non-invasive monitoring of vital signs using recliner chair and respiratory pattern analysis
(University of Missouri--Columbia, 2018)
In-home monitoring has the potential to help track health changes for older adults with chronic health conditions, thereby making early treatment possible when exacerbations arise. A recliner chair is often used by older ...