null

MyoWare 2.0 Muscle Sensor - Wearable Design

SparkFun

No reviews yet Write a Review
SKU:
057-DEV-21265
MPN:
DEV-21265
MyoWare 2.0 Muscle Sensor is a wearable device for measuring muscle activity (EMG) designed for use with microcontrollers. It offers multiple output modes and expandable features. View full description
  • 100% Original Products
  • GST Invoice
  • Earn 3% Cashback
₹4,071.00 inc. GST
₹3,450.00 ex. GST
10 people looking at this.

Technical Specifications

Brand:
SparkFun

Warranty Information

All the products supplied by Evelta are genuine and original. We offer 14 days replacement warranty in case of manufacturing defects. For more details, please visit our cancellation and returns page.

Description

The DEV-21265 is a MyoWare 2.0 Muscle Sensor, a versatile and multiple function sensor development tool. This wearable design is specially designed for use with microcontrollers, making it ideal for various applications. The sensor operates with a supply voltage ranging from +2.27V (minimum) to +5.47V (maximum), typically working between +3.3V to +5V.

The MyoWare 2.0 Muscle Sensor offers three output modes: Raw EMG, Rectified, and Envelope, providing flexibility in capturing muscle activity data. It features reverse polarity protection for added safety during operation.With its expandable capability via shields, the MyoWare® 2.0 Muscle Sensor Form Factor facilitates easy integration with other devices and systems. The board includes 3x female snap pins for power and EMG envelope output, as well as 3x male snap pins for input electrodes.

The sensor comes with LED indicators for VIN and ENV, providing visual feedback for monitoring purposes. Additionally, it includes a reference electrode jumper for enhanced functionality.The adjustable gain feature allows fine-tuning the sensor's sensitivity according to specific requirements. The board dimensions are 37.57mm x 35.90mm (1.48” x 1.41”), ensuring a compact and convenient form factor.

Features:
  • Wearable Design
  • Supply Voltage
    • Minimum: +2.27V
    • Typically: +3.3V to +5V
    • Maximum: +5.47V
  • Input Bias Current
    • 250pA, max 1nA
  • Reverse Polarity Protection
  • Three Output Modes
    • Raw EMG
    • Rectified
    • Envelope
  • Expandable via Shields
  • MyoWare® 2.0 Muscle Sensor Form Factor
    • 3x Female Snap Pins (Input Electrodes)
    • 3x Male Snap Pins (Power and EMG Envelope Output)
  • LED Indicators
    • VIN
    • ENV
  • Reference Electrode Jumper
  • Specially Designed For Microcontrollers
  • Adjustable Gain
  • Board Dimensions
    • 37.57mm x 35.90mm (1.48” x 1.41”)
Resources

FAQs:

Q: What does the MyoWare 2.0 Muscle Sensor measure?

A: The MyoWare 2.0 measures muscle activity through electromyography (EMG). It detects the electrical signals generated by muscles when they contract, providing an indication of muscle activation levels.

Q: What are the different output modes of the MyoWare 2.0?

A: The sensor offers three output modes:

  • Raw EMG: The unprocessed EMG signal for advanced users who want to perform their own signal analysis.
  • Rectified: The raw EMG signal after full-wave rectification, providing a simpler representation of muscle activity.
  • Envelope: The smoothed and amplified EMG signal, representing the overall muscle power or effort.

Q: Is the MyoWare 2.0 compatible with microcontrollers?

A: Yes, the sensor is specifically designed for use with microcontrollers like Arduino. It outputs analog voltage signals that can be easily read by a microcontroller's ADC.

Q: Can I customize or expand the functionality of the MyoWare 2.0?

A: Yes, the MyoWare 2.0 ecosystem includes various shields that can be easily snapped onto the sensor to add features like wireless connectivity, LED indicators, and power management.

Q: What applications can the MyoWare 2.0 be used for?

A: The MyoWare 2.0 has a wide range of applications, including:

  • Prosthetics and orthotics: Control of artificial limbs or assistive devices based on muscle signals.
  • Rehabilitation: Monitoring muscle activity during therapy exercises.
  • Sports and fitness: Tracking muscle fatigue and performance.
  • Human-computer interaction: Controlling devices or games with muscle movements.
  • Research: Studying muscle physiology and biomechanics.