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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
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
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
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DipPLD module with XC2C256 (CoolRunner-II from Xilinx)
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Heat sink dedicated to the NanoPi NEO minicomputers. Comes with thermopad. FriendlyELEC NanoPi NEO Heat Sink
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The stabilizer module is used to stabilize the output voltage at an appropriate level and filter interference. The module can be supplied with voltage up to + 16V, and the output voltage is + 12V.
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The SparkFun Qwiic Shield for Thing Plus provides an easy-to-assemble way to add the SparkFun Qwiic ecosystem to any development board with the Thing Plus Footprint. It connects the I2C bus (GND, 3.3V, SDA, and SCL) on your Thing Plus to four SparkFun Qwiic connectors. Sparkfun DEV-16138
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Extensive signal analysis kit including the Analog Discovery 2 adapter, Analog Discovery BNC adapter, breadboards, BNC probes, cables with Minigrabber connectors and crocodile clips and necessary accessories. Digilent Ultimate Analog Discovery 2 Bundle (471-027)
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Orange Pi Win 1GB DDR3 RAM A64 Quad-core 64-Bit WiFi Mini PC
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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.