How to Use
- 1. Use the slider to simulate sustained muscle contractions.
- 2. Move your mouse or finger to add dynamic signal variations.
- 3. Observe real-time changes in the EMG waveform and metrics.
Overview
Electromyography (EMG) is a crucial technique used to measure and evaluate the electrical activity of muscles. It is widely used in medical diagnostics, rehabilitation, biomechanics research, and ergonomics. By studying EMG signals, professionals can assess muscle health, diagnose neuromuscular disorders, and understand motor control in various activities.
The EMG Signal Simulator provides a hands-on approach to visualizing muscle activation patterns, enabling users to explore how different inputs affect EMG waveforms. This tool is perfect for students, healthcare professionals, and researchers aiming to deepen their understanding of muscle dynamics.
Key features include real-time waveform visualization and metrics tracking:
• Use the slider to mimic sustained muscle contractions, replicating scenarios like holding a weight.
• Interact using a mouse or touch gestures to simulate dynamic muscle movements.
Why Use This Simulator?
Universal Accessibility
Works with any device that has a mouse, touchscreen, or trackpad - no specialized equipment needed.
Real-Time Feedback
Instant visualization of EMG signals with key metrics (Peak, Mean, RMS) updating in real-time.
Educational Value
Perfect for understanding EMG principles, signal characteristics, and muscle activation patterns.
Cost-Effective Learning
Free alternative to expensive EMG equipment for basic understanding and demonstration purposes.
Future Development
Enhanced Input Methods
• Integration with device cameras for motion tracking.
• Support for 3D touch and pressure sensitivity.
• Multi-channel simulation for complex movement patterns.
Advanced Analysis Tools
• Frequency spectrum analysis.
• Pattern recognition for gesture classification.
• Custom signal processing filters.
Data Management
• Session recording and playback.
• Data export for external analysis.
• Cloud storage for sharing and comparison.