Date of Award
Thesis - SCU Access Only
Santa Clara : Santa Clara University, 2022.
Bioengineering; Computer Science and Engineering
Over 250 million people are a↵ected by knee osteoarthritis worldwide, causing chronic joint pain and sti↵ness as well as a general deterioration in quality of life. With existing technologies, it is difficult to predict the evolution of one’s condition and there is often an imbalance between the patient’s pain and the radiographic images, making osteoarthritis difficult to understand and evaluate. We are proposing a wearable, knee sleeve device that uses accelerometer sensors to detect joint stress and friction through frequency readings to more accurately assess the progression of osteoarthritis. Using signal processing and machine learning classification algorithms, our device provides a numerical value correlating with the severity of the patient’s condition.
Blanco, Belen; Ford, Joseph; and Wallace, Kailyn, "Detecting the Progression of Osteoarthritis Using Vibration Sensors" (2022). Interdisciplinary Design Senior Theses. 81.
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