Software and Arduino Code for EMG

This example is intended for Arduino firmware for visualization and signal processing in Python and MatLab. It is enough to compile this example and flash Arduino, then run the sketch in Python (download the example) or MatLab (download the example). The example is compatible with the entire range of sensors.

This example implements the simplest function: reading sensor readings on analog input A0 and writing the signal to Serial. If a sensor with adjustable gain is used, the gain can be set using the MyoSensor.gain (value) command, where one of the following gain values is used as the argument "value": "x1", "x2", "x3", "x4", "X5", "x8", "x10", "x16", "x32".

This example demonstrates working with an array of sensors.
Sensor gain control is done through SPI. If you plan to control the gain of each sensor individually, then the CS pins of each sensor must be connected to individual Arduino pins (it can be either PWM or digital).

This example demonstrates one of the signal smoothing methods. As an anti-aliasing method, the method of exponential moving average of arbitrary order is taken. Information on the moving average method and the exponential moving average method of arbitrary order is available here.

This example demonstrates how to use the EMG signal to set two control commands. For example, if a muscle is tensioned for 1 second or less, the program will display the value "Type 1", if more than a second, then the value "Type 2". This program can be used as the easiest way to control a robotic arm, motor or just for turning on a LED.

This sketch allows you to define single muscle contractions. Can be used for simple robotic arm control system

This sketch allows you to control the servo motor continuously - the angle of rotation of the motor shaft is proportional to the degree of muscle tension.

Processing of EMG/ECG signals from our sensors