Reference: RBD-0337
Brand: Waveshare
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Based on a SparkFun design.

The MyoWare Muscle Sensor by Advancer Technologies is a compact, Arduino-compatible electromyography (EMG) sensor designed to measure and analyze muscle activity. Ideal for robotics, prosthetics, gaming interfaces, and biomedical experimentation, the MyoWare 2.0 allows users to detect electrical activity from muscle movements and convert it into an analog voltage signal that correlates with muscle flex intensity. With an improved chipset and form factor, the sensor offers enhanced performance, accuracy, and ease of integration. It features a snap-on connector system that eliminates the need for soldering, making setup fast and beginner-friendly. The three output modes—Raw, Rectified, and Envelope—offer flexible signal processing for various applications. Lightweight and wearable, it’s a powerful tool for integrating muscle control into modern electronics, microcontrollers, and human-interaction systems. Featured By RoboticsBD.
Product Images are shown for illustrative purposes only and may differ from the actual product.
Note: This product may be based on a SparkFun design, but we are unable to confirm its origin. Please consider it as Made in China for all practical purposes.
Note: MyoWare and the Muscle Sensor are not intended for use in the diagnosis of disease or other conditions, or in the cure, mitigation treatment, or prevention of disease, in a man or other animals.
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Surface EMG Sensing – Detects electric potential generated by muscle movements
Arduino-Compatible – Easily integrates with microcontrollers for DIY or professional projects
No Soldering Required – Snap connector system enables fast setup and prototyping
Three Output Modes – Raw EMG, Rectified, and Envelope signals provide flexible data options
Compact & Wearable Design – Ideal for portable biomedical and control applications
Reverse Polarity Protection – Built-in safety for voltage input connections
Adjustable Gain – Allows signal strength tuning based on use case
Indicator LEDs – VIN and ENV status LEDs assist in monitoring power and signal activity
Expandable via Shields – Seamlessly integrates into larger MyoWare 2.0 systems
Robust Build – Engineered for performance and durability in dynamic environments
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Robotics Control – Use muscle movements to wirelessly operate robotic limbs or systems
Prosthetics Development – Integrate with artificial limbs for real-time human input
Gaming Interfaces – Control video games through flex-based movements
Biomedical Research – Measure muscle performance and monitor rehabilitation progress
Interactive Wearables – Develop smart clothing and gesture-based interfaces
Education and STEM Projects – Ideal for students learning biofeedback and bio-signals
Gesture-Based Automation – Create systems that respond to human flex input in real-time
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| General Specifications | |
| Operating Voltage Range | 2.27V (Min), 3.3V–5V (Typical), 5.47V (Max) |
| Output Modes | Raw EMG, Rectified, Envelope |
| Input Bias Current | 250pA (Typical), 1nA (Max) |
| Reverse Polarity Protection | Yes |
| Connector Type | Snap Connector System |
| Output Range | 0V to VIN (Analog Signal) |
| Indicators | VIN LED, ENV LED |
| Reference Electrode Jumper | Included |
| Expandability | Shield Compatible |
| Adjustable Gain | Yes |
| Compatibility | Arduino, Microcontrollers |
| Board Dimensions | 37.57mm x 35.90mm (1.48” x 1.41”) |
| Form Factor | 3x Female Snap Pins (Input), 3x Male Snap Pins (Output) |
| Shipment Weight | 0.0384 kg |
| Shipment Dimensions | 12 × 10 × 3 cm |
Please allow 5% measuring deviation due to manual measurement.
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1 x MyoWare 2.0 Muscle Sensor
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Based on a SparkFun design.
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