Design and implementation of orthopedic trauma surgery rehabilitation and health monitoring system (OTSRS)
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[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] A very common problem relating to rehabilitation of orthopedic trauma surgery is that patients do not have access, whether for financial reasons or physical location, to physical therapy and rehabilitation services after the surgery. In many cases, the exercises that physicians ask patients to perform are well understanding and can be performed at home; besides, some patients cannot remember what they were supposed to do and often lost the papers which showed them what to do and how to do the exercises. Patients also do not remember to do their exercise every day and physicians have no measure of their compliance. This thesis presents an Android and Web server combined Rehabilitation System, with support of two large health monitoring wearable sensor company APIs (Fitbit and iHealth), for orthopedic trauma surgery, especially for rotator cuff repair and ACL reconstruction, to improve current methods and provide more convenient, reliable, secure approach not only for the patients to recover quickly but also for the physicians to monitor the patients' progress between office visits and home to determine whether they are progressing as expected. Wearable devices combine with smartphones provide much more powerful health monitoring approach for physicians. This system consists of four major parts: wearable sensors module (Fitbit and iHealth) that collect personal health data, OAuth2 authentication module, mobile computation module and web server module. The android application is responsible for setting up API connections, collecting and showing patients' health data from the wireless wearable devices, interacting with the server to display each day exercises and generate survey, getting in-app message from the physician, comparing patients' progress with other patients and uploading data to the web server. The OTSRS web server is responsible for data receiving, handling, visualization, sending emails, logging surgery protocols, sending in-system messages, monitor patients health and rehabilitation progress. The system has been developed and waiting to be deployed in the field of study.
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