Open AccessA Study on Various Trans-Humeral Prostheses Using Surface EMG
Author(s) -
Ajmisha Maideen,
A. Mohinarathinam,
S. Kamalraj
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1937/1/012009
Subject(s) - interfacing , electromyography , prosthetic hand , forearm , computer science , signal (programming language) , physical medicine and rehabilitation , artificial limbs , biomedical engineering , simulation , artificial intelligence , prosthesis , medicine , computer hardware , anatomy , programming language
Upper limb amputation arise due to cardiovascular defects, trauma, health problems, or inborn defects. A disabled person needs an assistive mechanism like the prosthetic arm to perpetrate in their day-to-day activities. A Prosthetic Arm is an artificial system for interfacing my generated signals with external physical activities, which is extensively used to communicate and control the interactions between humans and machines. Many bio-generated signals can be utilized to control prosthetic arm like Surface Electromyogram, Electro Encephalogram, etc. but here using Surface Electromyography (s EMG) signal to control Prosthetic arm. s EMG is an inquiry of electrical activity of the striated muscle which is monitored at the surface of the skin. This signal is interfaced with a prosthetic device which helps to improve the quality level of amputees. Maximum movements are the target, which includes movements of fingers, forearm, and trans-humeral areas. The body-generated signal can be extracted using various electronic equipment and can be analyzed actual brain intention on various hand movements. With the support of artificial devices, one can achieve the goal. Neural networks and advanced Embedded System applications are also included in this prostheses implementation. This paper involves the study of various trans-humeral prostheses using electromyogram.