Product Overview
The EMG Muscle Sensor Kit is a comprehensive solution designed to detect and measure electrical activity produced by skeletal muscles. Ideal for biomedical research, prosthetic control, and interactive robotics, this kit enables users to monitor muscle contractions and translate them into actionable data. It is well-suited for educational projects, rehabilitation studies, and DIY bioengineering experiments.
Key Features:
- High Sensitivity: Accurately detects the subtle electrical signals generated by muscle activity.
- Dual Output: Provides both analog and digital outputs for versatile integration with microcontrollers (e.g., Arduino, Raspberry Pi).
- User-Friendly: Comes with clear documentation and example projects for easy setup and experimentation.
- Adjustable Gain: Features adjustable sensitivity to suit different muscle activity levels.
- Low Noise Amplification: Ensures clean signal capture with minimal interference.
- Versatile Applications: Suitable for research, education, prosthetic control, and interactive projects.
Technical Specifications:
- Supply Voltage: Typically 5V – 12V DC
- Output Type: Analog and digital signals
- Frequency Response: Optimized for the range of human muscle signals
- Interface: Compatible with standard microcontroller platforms
- Dimensions & Weight: Compact and lightweight design for easy integration
- Included Components: Sensor board, electrodes, connection cables, and user guide
Applications:
- Biomedical signal monitoring
- Prosthetic and robotic control
- Rehabilitation and physical therapy
- Educational and DIY bioengineering projects
- Research in human-computer interaction and wearable technology
Why Choose the EMG Muscle Sensor Kit?
Engineered for precision and ease of use, this kit offers a robust platform for exploring the fascinating world of muscle bio-signals. Whether you’re developing prosthetics, studying biomechanics, or creating interactive art, the EMG Muscle Sensor Kit provides reliable performance and flexible integration with a variety of projects.
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