Software and Arduino Code for EMG

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Software and Code

Elemyo software

For visualization, analysis and signal processing we provide our free software in the operation system Windows 10 (32/64 versions). The programs does not require installation, just download the file from the link below the description of each program, unzip and run the “*.exe” file.

Step-by-step installation process is described in a datasheet of each specific sensor or system.

Elemyo_GUI

Software for MYO v1.5 muscle sensors. Compatible with the old sensors versions. Visualization, filtering, recording and signal processing.

Functionality:
Real-time EMG signal display. Options of zooming and scrolling the signal graph.
Recording and playback of EMG signals
Display of the frequency spectrum of the signal (analysis window - 1 second, smoothing factor 0.85).
Signal spectrogram display.
Possibility of setting a notch filter at 50/60 Hz, as well as a band-pass filter with a given bandwidth.

Elemyo_GUI on GitHub
Myostack_GUI

Software for Wireless Multisensor EMG system MYOstack. Visualization, filtering, recording and signal processing for 1-9 EMG modules.

Functionality:
Display of signals of 1-9 EMG modules in real time. Options of zooming and scrolling signal graphs.
Recording and playback of EMG signals
Display of the frequency spectrum of the signal (analysis window - 1 second, smoothing factor 0.85).
Display of the average signal amplitude (window 1 second).
Setting a notch filter at 50/60 Hz, as well as a band-pass filter with a given bandwidth.
Signal envelope setting.

MYOstack_GUI on GitHub
Myoblue_GUI

Software for Wireless EMG sensors MYOblue It is the real-time visualization and processing of EMG signals coming from the MYOblue v1.0.

Functionality:
Display of signals of 1-8 modules in real time. Zooming and scrolling signal graphs.
Display of the frequency spectrum of the signal (analysis window - 1 second, smoothing factor 0.85)
Display of the average signal amplitude (window 1 second).
Setting a notch filter at 50/60 Hz, as well as the band-pass filter with chosen bandwidth.
Signal envelope setting.

MYOblue_GUI on GitHub

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.

Terminal

// For interaction with sensor via Elemyo_GUI
// Setting sensor gain

🡇⠀Terminal example

EMG_Simple_Read

// Fast start with our sensors
// Shows you an EMG signal and an EMG
signal envelope. Setting signal gain

🡇⠀EMG_Simple_Read example

Multiconnection

// This example demonstrates working with
an array of sensors
// Sensor gain control via SPI.

🡇⠀Multiconnection example

Control_by_EMG

// 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.

🡇⠀Control_by_EMG example

Servo_Discrete_Control

// 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

🡇⠀Servo_Discrete_Control example

Servo_Motion_Control

// 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.

🡇⠀Servo_Motion_Control example

EMG_Moving_Average

// This example demonstrates one of the commonly used signal smoothing methods.

🡇⠀EMG_Moving_Average example

Filters

// Example for processing signal with BandStop filter, BandPass filter and LowPass filter

🡇⠀Filters example