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MyoWare 2.0 Muscle Sensor Wireless Kit

The MyoWare® 2.0 Muscle Sensor Wireless Kit is an Arduino-compatible, all-in-one electromyography (EMG) sensor kit that provides you with all you need from the MyoWare 2.0 ecosystem to test out wireless configurations for your application. The MyoWare® 2.0 Wireless Shield is designed to take in readings from the MyoWare 2.0 Muscle Sensor and wirelessly transmit sensor data with the included ESP32-WROOM! This shield also includes a built-in LiPo battery to power the muscle sensor and the ESP32 module remotely. The Wireless Shield is equipped with snap connectors and low-profile pogo pins on the board, so you can easily stack it on the top side of the MyoWare 2.0 Muscle Sensor. Simply select a Power Source and flip the power switch to the ON position to give the sensor all the power it needs to work its myoelectric magic.

The kit also includes 20 biomedical sensor pads, a mini screwdriver to easily remove shields, a USB A to C cable to recharge the wireless shield or connect your microcontroller to a computer, a sensor cable to connect to muscle groups away from the sensor, and a Myoware cable shield.

The MyoWare 2.0 Muscle Sensor included in this kit has been redesigned from the ground up with a new, easy-to-use, compact design and upgraded with the latest and greatest chipset, improving sensor performance and reliability. The sensor measures muscle activity through the electric potential of the muscle, commonly referred to as surface electromyography (EMG or sEMG for short). When your brain tells your muscle to flex, it sends an electrical signal to your muscle to start recruiting motor units (the bundles of muscle fibers that generate the force behind your muscles).

The harder you flex, the more motor units are recruited to generate greater muscle force. The greater the number of motor units, the more the electrical activity of your muscle increases. MyoWare 2.0 Muscle Sensor will analyze a muscle's filtered and rectified electrical activity and output a signal (0-VIN volts, where VIN signifies the voltage of the power source) that represents how hard the muscle is being flexed. The innovative connector system eliminates the need to solder connections for the MyoWare 2.0 ecosystem, whether visualizing the muscles in action with the MyoWare 2.0 LED Shield or reading the analog output with an Arduino-compatible development board.

Note: This item may take longer to process due to the battery installed in the equipment and therefore does not qualify for same-day shipping policy. Additionally, these batteries can not be shipped via Ground or Economy methods to Alaska or Hawaii. Sorry for any inconvenience this may cause.

Important: Boards in the MyoWare 2.0 ecosystem are not intended to diagnose disease or other conditions or cure, mitigate, treat, or prevent disease in humans or other animals.

The MyoWare 2.0 ecosystem consists of shields that easily interface with the MyoWare® 2.0 Muscle Sensor, which is a low-cost, Arduino-compatible, all-in-one electromyography (EMG) sensor from Advancer Technologies. The innovative connector system allows users to easily snap shields together with a compact low profile and connect to a microcontroller's analog input to measure raw, filtered, and rectified electrical activity of a target muscle. This eliminates the need to solder connections between boards.

This product is a collaboration with Brian Kaminski from Advancer Technologies. A portion of each sales goes back to them for product support and continued development.

Get Started with the MyoWare 2.0 Muscle Sensor Guide

MyoWare 2.0 Wireless Shield

  • Input Voltage
    • 5V via USB Type C Connector
  • Output Voltage (e.g. "VIN")
    • 3.3V via voltage regulator (RT9080)
    • 3.3V via Qwiic Connector
  • ESD Protection Diodes for USB Data Lines
  • Ideal Diodes for Protection on the VBATT and VUSB Nets
  • Resettable PTC Fuse (Rated 6V/500mA)
  • Switches
    • Power Source
    • Power ON/OFF
  • Built-in LiPo Battery
    • Rated Capacity: 40mAh
    • Nominal Voltage: 3.7V
    • Max Charge Current: 1C (40mA)
  • MCP73831 Single Cell LiPo Charge IC
    • Charge Rate Set to ~40mA
  • 3.3V Voltage Regulator
  • MyoWare® 2.0 Muscle Sensor Form Factor
    • 3x Female Snap Pins (Power and EMG Envelope Output)
  • Espressif ESP32-WROOM Module
  • CH340 USB-to-Serial Converter
  • 2x Qwiic Connectors
  • 2.2kΩ Pull-Up Resistors
  • Button
    • Reset
    • General Purpose/Bootloader
  • LEDs
    • PWR - Power Indicator
    • CHG - Charge Status
    • 13 - User
    • ENV- Envelope
  • Jumpers
    • PWR - Power LED
    • SHLD - USB Shield
    • REF - Reference Pin
    • RAW - Raw EMG Output
    • ENV - Envelope Detector Output
    • I2C - I2C Pull-Up Resistors
  • Board Dimensions
    • 63.5mm x 38.000mm (2.50in. x 1.50in.)
  • Weight: ~16.7g

MyoWare 2.0 Muscle Sensor

  • 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 (1.48in. x 1.41in.)

MyoWare 2.0 Wireless Shield

[1] Note: This product is patent protected. To prevent counterfeit boards, the Eagle design files and GitHub hardware repository are not shared for boards in the MyoWare 2.0 ecosystem.

MyoWare 2.0 Muscle Sensor

[1] Note: This product is patent protected. To prevent counterfeit boards, the Eagle design files and GitHub hardware repository are not shared for boards in the MyoWare 2.0 ecosystem.

SparkFun ThingPlus - ESP32 WROOM (USB-C)

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MyoWare 2.0 Muscle Sensor Wireless Kit Product Help and Resources

Getting Started with the MyoWare® 2.0 Muscle Sensor Ecosystem

April 1, 2022
The MyoWare® 2.0 Muscle Sensor, an Arduino-compatible, all-in-one electromyography (EMG) sensor from Advancer Technologies. In this tutorial, we will go over the features and related shields to connect the sensor to a muscle group.
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ESP32 Thing Plus (USB-C) Hookup Guide

August 18, 2022
Meet the updated ESP32 Thing Plus (USB-C) development board. We have included some extra bells and whistles that users will appreciate, so check out out hookup guide for all the details!
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Core Skill: DIY

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1 DIY

Skill Level: Noob - Basic assembly is required. You may need to provide your own basic tools like a screwdriver, hammer or scissors. Power tools or custom parts are not required. Instructions will be included and easy to follow. Sewing may be required, but only with included patterns.
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Core Skill: Programming

If a board needs code or communicates somehow, you're going to need to know how to program or interface with it. The programming skill is all about communication and code.

3 Programming

Skill Level: Competent - The toolchain for programming is a bit more complex and will examples may not be explicitly provided for you. You will be required to have a fundamental knowledge of programming and be required to provide your own code. You may need to modify existing libraries or code to work with your specific hardware. Sensor and hardware interfaces will be SPI or I2C.
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Core Skill: Electrical Prototyping

If it requires power, you need to know how much, what all the pins do, and how to hook it up. You may need to reference datasheets, schematics, and know the ins and outs of electronics.

2 Electrical Prototyping

Skill Level: Rookie - You may be required to know a bit more about the component, such as orientation, or how to hook it up, in addition to power requirements. You will need to understand polarized components.
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