Hierarchical strategy for sEMG classification of the hand/wrist gestures and forces of transradial amputees.

ABSTRACT:

Introduction

The myoelectric control strategy, based on surface electromyographic signals, has long been used for controlling a prosthetic system with multiple degrees of freedom. Several methods classify gestures and force levels but the simultaneous real-time control of hand/wrist gestures and force levels did not yet reach a satisfactory level of effectiveness.

Methods

In this work, the hierarchical classification approach, already validated on 31 healthy subjects, was adapted for the real-time control of a multi-DoFs prosthetic system on 15 trans-radial amputees. The effectiveness of the hierarchical classification approach was assessed by evaluating both offline and real-time performance using three algorithms: Logistic Regression (LR), Non-linear Logistic Regression (N

SUBMITTER: Leone F 

PROVIDER: S-EPMC10035594 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature