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.<br>F1: Hip maximum extensionF2: Hip range of motionF3: Knee maximum flexionF4: Knee range of motionF5: Area of gait path (knee-hip angle profile)F6: Hip maximum angular velocityF7: Hip minimum angular velocityF8 Knee maximum angular velocityF9: Knee minimum angular velocityF10: 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 swingF13: Area of knee limit cycle during stanceF14: Area under gait speed (Frobenius norm of hip-knee velocity as a function of gait cycle) during mid-swing