Prosthetic hand signals

Development of a Prosthetic Hand Operated by EEG Brain Signals and EMG Muscle Signals

The aim of this study is to develop a low cost prosthetic hand for the people of third world countries. In most cases the prosthesis requires surgery and very costly sensors which is not feasible for poor people. So a new approach is introduced in our study where Electroencephalography sensor and Electromyography sensor is used as a combination to receive necessary brain and muscle signals resp...

Prosthetic Hand Control

This paper presents a five-fingered underactuated prosthetic hand controlled by surface electromyographic (EMG) signals. The prosthetic hand control part is based on an EMG motion pattern classifier which combines variable learning rate (VLR) based neural network with parametric Autoregressive (AR) model and wavelet transform. This motion pattern classifier can successfully identify flexion and...

Prosthetic Hand Requirements

Development of Biomimetic Prosthetic Hand

The purpose of this study was to develop a new type of the sensory feedback system for the myoelectrically controlled biomimetic prosthetic hand. One of the characteristic features of the neuromuscular control system in man is an increase in the compliance around the joint, with the decreasing activity of the muscle. For the sensory feedback system the interferential current with two waves was ...

Control of Dexterous Bio-Prosthetic Hand via Sequential Recognition of EMG Signals Using Fuzzy Relations

The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The contextual (sequential) recognition is considered in which the fuzzy relation approach is applied to the construction of a classifying alg...