IoT-Based Multi-Level Sensors Electromyography (EMG) Acquisition System

In order to catch up with the increasing demand for advanced electromyography (EMG) acquisition systems in clinical rehabilitation, this research focuses on developing an innovative Multi-Level Sensors Based EMG Acquisition System. Unlike conventional single-channel EMG systems, this proposed system employs multiple sensors to capture muscle activity data from various muscle groups simultaneously. To address the need for remote and real-time data access, an Internet of Things (IoT) integration is introduced, enabling secure cloud-based storage and remote accessibility. The developed EMG acquisition system is designed to record patient-specific muscle activity data and corresponding average activity values, which are then uploaded to a cloud-based server. Healthcare professionals can remotely access the server through the user-friendly web link to retrieve patient data conveniently. The IoT-enabled approach enhances the system's scalability, cost-effectiveness, and potential for revolutionizing clinical rehabilitation practices. To validate the functionality of the prototype, extensive testing has been conducted, demonstrating its accuracy, reliability, and usability. This IoT -based Multi-Level Sensors EMG Acquisition System offers promising opportunities for rehabilitation programs, personalized treatment plans, and improved patient outcomes. As a result, this research presents a significant step forward in the field of clinical rehabilitation, offering innovative solutions for better patient care and rehabilitation monitoring.