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Software and Arduino Code for EMG
Elemyo software
For visualization, analysis and signal processing we provide our free software. It is open-sourced and based on Python.
Step-by-step installation process is described in a datasheet of each specific sensor or system.
Step-by-step installation process is described in a datasheet of each specific sensor or system.
- Myoblue_GUISoftware for Wireless EMG sensors MYOblue It is the real-time visualization and processing of EMG signals coming from the MYOblue v1.2.MYOblue_GUI on GitHub
Functionality:- In-depth EMG signal analysis
- Up to 8 EMG channels simultaneously
- Real-time display of raw, rectified, smoothed, and RMS signals
- Real-time FFT analysis of EMG signals
- Band-pass and 50/60 Hz notch filters
- Record and playback up to 8 synchronized EMG channels (in BIN format)
- Myostack_GUISoftware for Wireless Multisensor EMG system MYOstack. Visualization, filtering, recording and signal processing for 1-9 EMG modules.MYOstack_GUI on GitHub
Functionality:- In-depth EMG signal analysis
- Up to 9 EMG channels simultaneously
- Real-time display of raw, rectified, smoothed, and RMS signals
- Real-time FFT analysis of EMG signals
- Band-pass and 50/60 Hz notch filters
- Record and playback up to 9 synchronized EMG channels (in BIN format)
- Elemyo_GUISoftware for MYO v1.5 muscle sensors. Compatible with the old sensors versions. Visualization, filtering, recording and signal processing.Elemyo_GUI on GitHub
Functionality:- In-depth EMG signal analysis
- Up to 6 EMG channels simultaneously
- Real-time display of raw, rectified, smoothed, and RMS signals
- Real-time FFT analysis of EMG signals
- Band-pass and 50/60 Hz notch filters
- Record and playback up to 6 synchronized EMG channels (in BIN format)
Arduino Code examples
For easy start of using our EMG sensors and implement them into your projects we provide various code sketches for Arduino. These sketches help you solve the tasks such as development EMG control systems or working with an array of myoelectric sensors for EMG pattern recognition, processing muscle signals or just visualize them.
// For interaction with sensor via Elemyo_GUI
// Setting sensor gain
// Setting sensor gain
// Fast start with our sensors
// Shows you an EMG signal and an EMG
signal envelope. Setting signal gain
// Shows you an EMG signal and an EMG
signal envelope. Setting signal gain
// This example demonstrates working with
an array of sensors
// Sensor gain control via SPI.
an array of sensors
// Sensor gain control via SPI.
// Example of EMG signal using for control
// Example detects and distincts short and long muscle contractions
// Can be used as the easiest way to control a robotic arm, motor or just for turning on a LED.
// Example detects and distincts short and long muscle contractions
// Can be used as the easiest way to control a robotic arm, motor or just for turning on a LED.
// EMG control via duration of EMG signal
// Programmed servomotor action depends on duration of muscle contraction (short or long)
//Can be used for simple robotic arm control system
// Programmed servomotor action depends on duration of muscle contraction (short or long)
//Can be used for simple robotic arm control system
// Example for EMG control systems when
servomotor rotation depends on amplitude
of muscle signal
// An angle of rotation of the motor shaft is proportional to the degree of muscle tension.
servomotor rotation depends on amplitude
of muscle signal
// An angle of rotation of the motor shaft is proportional to the degree of muscle tension.
// This example demonstrates one of the commonly used signal smoothing methods.
// Example for processing signal with BandStop filter, BandPass filter and LowPass filter