Authors: Syrus Miner, Ryland Day, Justin LeClair, Adam Dimaio
Mentors: Randy Klabacka
Insitution: Utah Tech University
Accurate measurement of the knee joint angle is important for diagnosis, treatment, and rehabilitation. With the advancement of wearable technology the measurement of range of motion can now be measured dynamically during exercises. The primary purpose of this research project is to provide a mechanism by which physical therapy outcomes can be improved after knee replacement surgery. This will be accomplished by creating a knee brace attachment that will employ motion detecting sensors to chart the post-op and/or post-injury progression of the movement of the knee joint. It is estimated that approximately 5% of the population over the age of 50 in the United States are currently living with a knee replacement. It has been shown that knee pain has been coupled with depression, low self-esteem, eating disorders, and an overall lower satisfaction in life. Improved knee function has reduced the dissatisfaction experienced in life as daily activities are able to be retained. While physical therapy helps recovery of range of motion for patients, the incentive for patients to complete tasks at home and the lack of standardized data collection may impede patient recovery times. The desired outcome of this research is to create a device that reports the effectiveness of a patient's treatment by using off-the-shelf electronics to accurately measure knee joint range of motion and communicate it to physicians.