IoT and Deep Learning-Based EMG Monitoring System for Muscle Activity Analysis and Predictive Insights
Original price was: ₹12,500.₹8,999Current price is: ₹8,999.
This project develops an intelligent EMG (Electromyography) monitoring system to analyze muscle activity and provide predictive insights for health, fitness, and rehabilitation applications. Using IoT technology, the system collects muscle activity data in real time and transmits it to a cloud platform for storage and advanced analysis.
Deep learning algorithms process the EMG signals to identify activity patterns, predict potential muscle strain or fatigue, and offer personalized recommendations. This system is particularly beneficial for athletes optimizing performance, physiotherapists managing patient recovery, and researchers studying neuromuscular health. The system generates alerts for irregularities, helping users prevent injuries and optimize performance.
A companion mobile app provides live monitoring, historical data visualization, and tailored insights to improve muscle health and recovery strategies.
Key Features:
- Real-time EMG monitoring with IoT-enabled connectivity.
- Deep learning-powered muscle activity analysis and predictive insights.
- Cloud-based data storage for long-term monitoring and reporting.
- Mobile app with live updates, alerts, and personalized muscle health recommendations.
This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an excellent choice for students interested in IoT and AI applications in health and fitness technology.
