Muscle Activity Monitoring and Rehabilitation System Using IoT and AI

This project develops an innovative muscle activity monitoring and rehabilitation system using the EMG (Electromyography) Muscle Sensor V3.0 to measure electrical activity produced by skeletal muscles. The sensor data is transmitted to an IoT platform, allowing real-time monitoring of muscle movements and muscle health.

Machine learning algorithms analyze the muscle data to detect abnormalities, such as muscle fatigue or irregular activity, and provide timely alerts to users or healthcare professionals. The system also uses predictive analysis to guide rehabilitation efforts by monitoring recovery progress. A mobile app offers interactive feedback, real-time data visualization, and personalized rehabilitation exercises based on the user’s muscle performance.

Key Features:

• Real-time monitoring of muscle activity and performance using EMG sensor data.
• IoT platform integration for seamless data transmission and analysis.
• AI-powered anomaly detection and rehabilitation progress tracking.
• Mobile app for personalized feedback and exercise recommendations.

This project includes source code, complete hardware setup, detailed analysis, and a comprehensive 200-page project report in soft copy, making it an ideal solution for muscle health and rehabilitation applications.