SparkFun MyoWare 2.0 Muscle Sensor Arduino Compatible EMG Module - DEV-27924

SKU: VM01701

Price:
Sale price Rs. 7,372.88
(excl.18% GST)
Rs. 8,700.00

Description

SparkFun MyoWare 2.0 Muscle Sensor – Arduino-Compatible EMG Sensor

The SparkFun MyoWare 2.0 Muscle Sensor (DEV-27924) is a compact, wearable electromyography (EMG) sensor designed to detect and measure electrical activity generated during muscle contractions. Developed by Advancer Technologies in collaboration with SparkFun Electronics, this Arduino-compatible muscle sensor enables users to convert muscle activity into analog signals for controlling electronic devices, robotics, prosthetic prototypes, and interactive systems.

Using surface electromyography (sEMG) technology, the MyoWare 2.0 measures electrical signals produced by muscle activation and converts them into a corresponding analog voltage output. Its envelope output represents muscle activation intensity, allowing microcontrollers such as Arduino to interpret muscle flexing and trigger programmed actions.

Featuring three EMG output modes—Raw, Rectified, and Envelope, the sensor supports different signal-processing and monitoring applications. Its adjustable gain enables sensitivity customization, while reverse polarity protection helps protect the circuit from incorrect power connections.

The redesigned snap connector system allows compatible biomedical electrode pads and MyoWare 2.0 expansion shields to connect without soldering. With onboard VIN and ENV indicator LEDs, a reference electrode jumper, and compatibility with optional Power, Cable, and LED shields, the MyoWare 2.0 offers a flexible platform for muscle-controlled electronics and educational experimentation.

Operating with a typical 3.3V or 5V DC supply and measuring just 37.57 × 35.90mm, this sensor is suitable for wearable electronics, human-machine interfaces, biomechanics demonstrations, and embedded development projects.

Key Features

  • Surface EMG Muscle Detection: Measures electrical activity generated during voluntary muscle contractions.

  • Arduino-Compatible Analog Output: Converts muscle activity into analog voltage signals readable by compatible microcontrollers.

  • Three Signal Output Modes: Supports Raw EMG, Rectified EMG, and Envelope signal outputs.

  • Muscle-Controlled Electronics: Enables interactive applications that respond to muscle activation.

  • Adjustable Signal Gain: Allows sensitivity adjustment for different muscle groups and experimental requirements.

  • Wearable Sensor Design: Compact form factor with integrated electrode snap connectors.

  • Solder-Free Snap Connections: Simplifies connection to compatible biomedical electrode pads and MyoWare expansion shields.

  • 3.3V and 5V Operation: Supports common microcontroller power supply voltages.

  • Reverse Polarity Protection: Helps protect the sensor against incorrect supply polarity.

  • Onboard LED Indicators: VIN and ENV LEDs provide power and muscle activity feedback.

  • Reference Electrode Jumper: Supports reference electrode configuration.

  • Expandable MyoWare Ecosystem: Compatible with optional MyoWare 2.0 Power, Cable, LED, and interface shields.

  • Compact Board Design: Measures 37.57 × 35.90mm for wearable and embedded prototypes.

Technical Specifications

Parameter Specification
Brand SparkFun
Technology Developer Advancer Technologies
Product Name MyoWare 2.0 Muscle Sensor
Manufacturer Part Number DEV-27924
Product Type Surface EMG Muscle Sensor
Sensing Technology Surface Electromyography (sEMG)
Minimum Supply Voltage 2.27V DC
Typical Supply Voltage 3.3V / 5V DC
Maximum Supply Voltage 5.47V DC
Input Bias Current 250pA Typical, 1nA Maximum
Analog Output Range 0V to VIN
Output Modes Raw EMG, Rectified EMG, Envelope
Rectification Method Full-Wave
Adjustable Gain Yes
Raw Signal Gain 200 (Ideal)
Rectified Signal Gain 200 (Ideal)
High-Pass Filter Cutoff 20.8Hz
Low-Pass Filter Cutoff 498.4Hz
Envelope Filter Cutoff 3.6Hz
Reverse Polarity Protection Yes
Input Electrode Connections 3 × Female Snap Connectors
Power & Output Connections 3 × Male Snap Connectors
LED Indicators VIN, ENV
Reference Electrode Jumper Yes
Interface Analog Voltage Output
Compatible Platforms Arduino and Other Compatible Microcontrollers
Board Dimensions 37.57 × 35.90mm

Applications

  • Muscle-Controlled Robotics: Develop robots and electronic systems that respond to muscle activation signals.

  • Prosthetic Prototyping: Experiment with EMG-based control mechanisms for research and educational prosthetic projects.

  • Human-Machine Interfaces: Create alternative input systems controlled by muscle contractions.

  • Wearable Electronics: Build interactive wearable devices using muscle activity as an input signal.

  • Biomechanics Education: Demonstrate electrical muscle activity and basic electromyography concepts.

  • Interactive Gaming: Develop experimental game controllers operated through muscle flexing.

  • Gesture-Controlled Systems: Explore muscle activation patterns for interactive electronic control.

  • Arduino Projects: Monitor analog EMG signals and use them to trigger LEDs, motors, servos, and other components.

  • EMG Signal Processing: Study raw, rectified, and envelope muscle activity signals using suitable acquisition hardware.

Package Contents

  • 1 × SparkFun MyoWare 2.0 Muscle Sensor (DEV-27924)

Note: Biomedical electrode pads, cables, Arduino boards, and optional MyoWare expansion shields are sold separately unless specifically included in the supplied package.

Important Safety Information

This sensor is intended for educational, prototyping, and experimental applications. It is not a medical device and must not be used for medical diagnosis, treatment, or clinical monitoring.

Use an appropriate battery-powered or electrically isolated setup when attaching electrodes to the body. Follow the manufacturer's safety instructions and avoid unsafe connections to mains-powered equipment.

Technical Documentation

For installation instructions, electrode placement guidance, wiring diagrams, signal output examples, and Arduino integration, refer to the SparkFun MyoWare 2.0 Muscle Sensor Hookup Guide.

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