Design and Implementation of Low Cost SEMG Controlled Prosthetic Limb
This paper describes the development of a cost optimized SEMG data acquisition system. The developed sensor system comprised of surface electrodes and signal conditioning circuit. The sensor system detects the small myoelectric pulses generated as a result of muscle activity and converts them to analog signal. The myoelectric signal is then fed to the microcontroller unit for further processing. The acquired myoelectric signal from the sensor is then used to successfully control an artificial arm through Arduino platform. The Arduino platform works as the interface between the SEMG sensor and the artificial arm providing control of the prosthetic device in a simple and effective way.
Keywords - EMG Sensor, Prosthetic Limb, Arduino, Myoelectric Signal