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Have your next project be controlled by your muscles with the MyoWare Muscle Sensor! Pair the MyoWare with some Muscle Sensor Surface EMG Electrodes and a microcontroller (ie. Raspberry Pi, Arduino, or Beagle Bone Black) to create a DIY low-cost version of an EMG or an electromyograph!
Electromyography is an electrodiagnostic medicine technique for evaluating and recording the electrical activity produced by skeletal muscles. Use these sensors in prosthetics, robotics, and so much more! Once you attach the sensor to a large muscle (like your bicep) you can flex and measure the signal spike as an analog voltage.
These MyoWare Muscle Sensors are designed to be used by hobbyists, backyard tinkerers, and students alike. Check the datasheet for more information and both setup configurations as well as setup instructions.
Note!
This product does not include electrodes; they are available separately in packs of six. To use the sensor, an electrode must be connected to each of the sensor’s three snap connectors (two on the PCB and the third at the end of the black reference electrode cable).This muscle sensor from Advancer Technologies measures a muscle’s activity by monitoring the electric potential generated by muscle cells. This is referred to as electromyography (EMG). The sensor amplifies and processes the complex electrical activity of a muscle and converts it into a simple analog signal that can easily be read by any microcontroller with an analog-to-digital converter (ADC), such as an A-Star or Arduino – or even a Maestro servo controller like we show in this blog post. As the target muscle group flexes, the sensor’s output voltage increases. The exact relationship between the output voltage and the muscle activity can be fine-tuned using an on-board gain potentiometer.
The MyoWare Muscle Sensor is an updated version of Advancer Technologies’ older Muscle Sensor v3 with a number of improvements, notably single-supply operation (no need for a negative voltage supply) and built-in snap connectors for electrodes. Other new features include a raw EMG output, reverse power protection, a power switch, and LED indicators.
In order to attach to skin, the sensor requires three electrodes (not included) that snap into the sensor’s snap-style connectors, which make it easy to attach and detach electrodes. Two connectors are located directly on the PCB, and the third is located at the end of the attached reference electrode cable. The board’s pins have a 0.1″ pitch and work with 0.1″ male headers and 0.1″ female headers.
Code: Pololu 2732, Adafruit 2699
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Muscle Sensor Surface EMG Electrodes allow you to control your projects with your muscles. Adafruit 2773
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The MyoWare Power Shield is designed to take two standard CR2032 coin cell batteries to power the MyoWare Muscle Sensor. We have made this board in a way that the coin cell batteries are connected in parallel for extended capacity at a nominal 3.0V. DEV-13684
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Module with 3.5 mm TRS connector for MyoWare 2.0 muscle tension sensors. It allows you to conveniently connect the sensors with the development board via the Arduino shield. SparkFun DEV-18386
Cable with USB type A and lightning connectors, cable length 1.8m. Lanberg CA-USLM-
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Cable with USB type A and lightning connectors, cable length 1.8m. Lanberg CA-USLM-
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Cable with USB type A and lightning connectors, cable length 3m. Lanberg CA-USLM-10CU-0030-WH
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Cable with USB type A and lightning connectors, cable length 3m. Lanberg CA-USLM-10CU-0030-BK
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Li-Ion 18650 battery with a nominal voltage of 3.6V and a capacity of 3000mAh. It has protection against overcharging, excessive discharge, overload and short circuit.
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Processor charger designed for Li-Ion cylindrical batteries in various sizes (including 18650). It can charge batteries both with PCM protection and without protection. The nominal charging current in the main phase is 1A. XTAR MC1S
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Container for two 18650 batteries. It allows you to safely transport batteries and ensure their proper storage
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Expansion board equipped with VL6180 distance sensor, based on FlightSense technology. The set is designed to measure distances and detect gestures. X-NUCLEO-6180A1
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Eclypse Z7 evaluation kit (ARM Cortex-A9 + FPGA Artix-7) with converter Zmod ADC 1410 and Zmod DAC 1411 plugged into the SYZYGY interface connector. Digilent 471-036
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Eclypse Z7 evaluation kit (ARM Cortex-A9 + FPGA Artix-7) with two converter Zmod ADC 1410 plugged into the SYZYGY interface connector. Digilent 471-036-1
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Eclypse Z7 evaluation kit (ARM Cortex-A9 + FPGA Artix-7) with two converter Zmod DAC 1411 plugged into the SYZYGY interface connector. Digilent 471-036-2
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Black aluminum enclosure designed for Eclypse Z7 evaluation kits. It allows you to protect the set against mechanical damage, while creating a nice looking set. Digilent 250-132
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An extension module to support two cameras designed for Raspberry Pi minicomputers. The board allows you to connect two cameras via CSI connectors to one connector of the minicomputer. ArduCAM B0195
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Scale module with aluminum tensometer beam, allowing weight measurement up to 2 kilograms. It has screw terminals. Can be used to make electronic scale. KAmodTENSOMETER2kg
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4x16 display with LED backlight negative blue. Equipped with HD44780 compatible controller. Artronic LCD-EC-1604A-BIW W/B-E6 C
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Development kit based on MediaTek MT7622 chip with 64-bit ARM Cortex-A53 dual-core processor. It is equipped with 1GB SDRAM, 8GB eMMC memory and numerous connectors and interfaces such as SATA, Ethernet, microSD socket and USB 3.0 Host. The kit creates a router that can run on various open source operating systems, including OpenWrt and Linux. Banana Pi BPI-R64
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The MyoWare Muscle Sensor measures, filters, rectifies, and amplifies the electrical activity of a muscle and produces an analog output signal that can easily be read by a microcontroller, enabling novel, muscle-controlled interfaces for your projects.