DESIGN OF A LOW-POWER WIRELESS SURFACE ELECTROMYOGRAPHY (SEMG) SYSTEM FOR VERSATILE BIOMEDICAL APPLICATIONS

Bioelectric signals from the body may now be collected and analyzed in real time because to advancements in electronics, technology, signal processing, and computing. Different challenges must be solved depending on the signal's frequency and qualities. Furthermore, data from numerous sources must be transmitted simultaneously, at a frequency of up to 1 kHz. Another problem is appropriately detecting the bioelectric signals that are being transmitted. These signals can have amplitudes of tens of microvolts, therefore they must be extremely sensitive with minimal noise interference. These characteristics contributed to the development of a low-power wireless Electromyography (EMG) data exchange system capable of meeting these stringent requirements. This effort included the development of a hardware system for processing EMG analog signals, as well as computer-based software to support it. Many large issues have been solved in the course of developing analog circuitry capable of processing EMG signals. One of the issues is bias DC current, which causes artifacts and noise. By plotting the gathered EMG data on graphs and using computer-based tools, the user may clearly see and judge it. The findings of this study indicate that a surface electromyography (EMG) device can be utilized to obtain EMG data. This information can then be applied to movement analysis, sports medicine, rehabilitation, and medical tests. The findings indicate that the proposed system delivers and receives signals appropriately, with no information loss.