Study and analysis of EMG signal and its application in controlling the movement of a prosthetic limb

This paper was aimed at determining a way to create an EMG signal in muscle tissue, and identify factors that affect this signal. We also studied the methods for recording and filtering this signal in order to control a prosthetic limb such as a hand. A new method is discussed for controlling a prosthetic limb capable of interacting with brain and the nervous system. In this system, which is called IMES (Implantable Myoelectric Sensor), EMG signals were recorded using a series of Implantable Myoelectric Sensors. These signals were then transmitted to a telemetry controller for analysis using a wireless system. The system developed here allows the acquired data to be sent to a prosthetic limb controller and move the prosthetic limb toward patient's desired directions without wiring or a surgical procedure to implant the controller under the skin. It is also possible to monitor the data from EMG signals via a USB port or an external computer connected to the IMES system. Our results indicate that we can record the EMG signals without noise via implantable myoelectricsensors and telemetry controller in an IMES system. This allows to control a prosthetic hand based on the brain and nervous system's commands.