Electromyography (EMG) Sensor
MYO v1.5

MYO v1.5 is an ultra-compact electromyography (EMG) sensor with high performance signal, designed according the plug and play approach. This sensor provides the easiest way to turn your ideas into reality in the field of EMG research and developing.

You can easily connect the MYO v1.5 sensor to the most popular microcontrollers such as Arduino, ESP32, STM32, etc. We provide libraries and examples for Arduino IDE that will help you to get started on using our sensor in your projects and make it much easier to bring your ideas to life. Our sensors is already being used by developers and researchers in such fields as EMG control systems for exoskeletons and prostheses, EMG research regarding physical activity, somnography and relaxation.

For visualization, analysis and signal processing we provide the Elemyo_GUI – free open-source software for working with the sensor, based on Python. It allows to visualize EMG signal in real-time, record and replay it, set filters and envelope. Furthermore you can make any required additions, using Python.

Features:

• Ultra-compact sensor
• Dry skin contact electrodes, no need for conductive gels
• Adjustable signal gain
• Compatible with wide range of microcontrollers
• Libraries for Arduino IDE (including sketches for EMG control systems)
• Free open-source software for visualization and processing EMG signals (based on Python)
• High quality technical support

Technical Characteristics:

• Sensor type: dry skin contact
• Sensor size: 26.0x11.3x5.4 mm (+-0.2 mm)
• Sensor output: analog raw EMG
• Supply voltage range: 2.7 to 5.5 V Typical 3.3 or 5 V
• Bandwidth: 10 - 500 Hz
• Wire length ~ 60 cm
• Connector pin pitch: 0.8 mm
• Gain selection interface: SPI
• Base gain: 1000 V/V. Can be increased by 8 additional Gain Selections: x1, x2, x4, x5, x8, x10, x16 or x32 V/V

NOTE: this product is NOT a medical device and should not be used to diagnose or treat medical conditions.

↓ Download Datasheet MYO v1.5 (.pdf)
The pdf-file for more information on the features and connection of the module.