Using Mobile Data Collection and Mining for Improving Post-TKR Rehabilitation

• Main Authors: Kun-Hui Chen, 陳昆輝
• Other Authors: Chia-Tai Chan
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/66105039758838473256

博士 === 國立陽明大學 === 生物醫學工程學系 === 104 === Total knee replacement is the most common treatment for late stage of osteoarthritis. However, treatment of the diseased knee joint does not end with surgical replacement. The patient should be evaluated continuously until recovery from the surgery. Traditionally, the recovery progression of the knee range of motion is accessed by the goniometer or rating scale table. However, such a measurement method may lead to different result by different operator. In this paper, we used wearable inertial sensors to record and analyze patient’s joint range of motion. Using objective data to assist orthopedic surgeons in understanding patient's recovery progress. The result showed the angular calibration result, gait analysis of healthy people in laboratory environment and recorded clinical data. Besides, the results were also be verified by image results and the results of previous studies.