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Software and Arduino Code for EMG

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 v1.4 and MYO-micro v1.0 musce sensors. Compatible with old sensor versions. Visualization, filtering, recording and signal processing.

Functionality:
  • Real-time EMG signal display. Options of zooming and scrolling the signal graph.
  • 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.zip
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 modules in real time. Options of 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 a band-pass filter with a given bandwidth.
  • Signal envelope setting.
🡇⠀Myostack_GUI.zip
Myoblue_GUI
Software for Wireless EMG sensors MYOblue v1.0. It is the real-time visualization and processing of EMG signals coming from the MYOblue v1.0.

Functionality:
  • Display of signals of 1-4 modules in real time. Possibility of 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 a band-pass filter with a given bandwidth.
  • Signal envelope setting.
🡇⠀Myoblue_GUI.zip
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.