OpenSignals (r)evolution

Check out the fact sheet... this is our easy-to-use, versatile, and scalable software for real-time biosignals visualization, capable of direct interaction with BITalino. Core functionality includes sensor data acquisition from multiple channels and devices, data visualization and recording, as well as loading of pre-recorded signals.

Data processing modules are available as optional add-ons, enabling one to do Heart Rate Variability (HRV) analysis, extraction of statistical indicators from EMG data, and other convenient operations. OpenSignals is also a Python-powered web-based software framework, targeted at rapid application development; a bare bone code base is available on our GitHub.



The user manual for OpenSignals (r)evolution (v.2016) is available here

Download for your OS

Latest version available: March 23 2017 (win/mac)

Win 32-bit (v.2017)
Win 64-bit (v.2017)
Windows (v.2014)
Windows (v.2013)
Mac OS X (v.2017)
Mac OS X (v.2013 alpha)
Linux (v.2017)
Linux (v.2013 alpha)

OpenSignals Mobile

This is a slimmed down version of OpenSignals specifically designed to run on a mobile phone or tablet, while preserving the ease-of-use and performance for real-time sensor data visualization and recording.


Subscribe for beta version

Android (v.2017 beta)

Staff Picks

Target Platform


Kudos to

OpenSignals-like application for Android OS
David G. Marquez
Android BITalino DataLogger
Data logger for Android OS
Borja Gamecho Ibañez
Python toolbox for biosignal processing Pattern and Image Analysis Group (PIA)
IT - Instituto de Telecomunicações
Python module for onset detection within Electromyography (EMG) sensor data Margarida Reis
Instituto Superior Técnico (IST)
ServerBIT: Barebone of the OpenSignals architecture for rapid prototyping using a HTML/CSS/JS frontend, Python backend & WebSockets Hugo Silva
IT - Instituto de Telecomunicações

OpenSignals for Linux - beta Request

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