IMU-based Gait Assessment of Patients based on the Multiple Regression Model

The kinematic gait characteristics of every patient are unique. It is affected by various physical parameters such as leg length, body mass index, and age. Hence, a gait normalization technique is important to quantitatively assess gait. We compared the gait of a severe knee osteoarthritis patient with a healthy gait using the sagittal-plane kinematic prediction model proposed in the previous study. The multiple regression model estimated the healthy gait of each participant and investigated the achievement rate between the estimated healthy gait and the actual one. Based on the achievement result, we evaluated a relationship between the pain and the gait characteristics of the patient. The result demonstrated that the knee flexion range was restricted in the gait of a KOA patient, and there was no relationship between the pain and the gait sagittal-plane kinematics.