Features for machine learning Models

This file contains features extracted from both right and left legs of patients before surgery, as well as from the right and left legs of healthy participants. In addition to the kinematic features, categorical features such as Age, BMI, and Sex are included. These features serve as inputs for MLP and SVM models used for the classification of healthy-patient status, affected-unaffected legs, and different severity grades.

F1: Hip maximum extension
F2: Hip range of motion
F3: Knee maximum flexion
F4: Knee range of motion
F5: Area of gait path (knee-hip angle profile)
F6: Hip maximum angular velocity
F7: Hip minimum angular velocity
F8 Knee maximum angular velocity
F9: Knee minimum angular velocity
F10: Area of path speed (knee-hip angular velocity profile)
F11: Area of hip limit cycle (hip velocity-angle profile)
F12: Area of knee limit cycle (knee velocity-angle profile) during swing
F13: Area of knee limit cycle during stance
F14: Area under gait speed (Frobenius norm of hip-knee velocity as a function of gait cycle) during mid-swing