EMG sensor based control strategy for hand function movements using 3D prosthetic hand

Abstract

This paper presents advancements in the design of a portable, compact, efficient and less cost
development of 3D prosthetic hands. Electromyography sensor is a biomedical signal that records muscle
contractions. It is capable of detecting muscle movements. This work implements the use of
Electromyography (EMG) signals to build an assist system that enables patients with hand paralyzed to
restore restricted hand functions.Monoplegia occurs when paralysis only impacts one arm or one leg. It is
caused by injury to parts of the brain that control the movements of the limbs thus leading to problems in
the signals flow through the muscles and brain. The proposed scheme seeks to collect data from muscles
using EMG sensors, connected with Arduino UNO and the patient's hand movement control by using
servo motors. Prosthetics are the most widely used support devices in the medical field. Prosthetics are
synthetic extensions that are used to restore or replace missing or damaged body parts. The functions
involve opening the hand , closing the hand , grasp, release or lift the object or items and they can be
utilized by paralyzed patients to do fundamental hand movements on their own.This experimental results
prove will rehabilitate monoplegia paralysis affected people should use this 3D printed prosthetic hand to
continue with normal daily activities.