PREDICTION OF WALKING ABILITY WITH A PROSTHESIS IN LOWER LIMB AMPUTEES BY USING ARTIFICIAL INTELLIGENCE ALGORITHMS

Abstract

The topic of this paper is prediction of ability to walk with prosthesis after lower limb amputation, based on artificial intelligence algorithms. The paper describes the implementation of a predictive model for amputees walking ability after prosthetic rehabilitation treatment using SVM method. Different features are tested by decision tree method, in order to maximize model accurаcy.