OpenSignals is our easy-to-use, versatile, and scalable software for real-time biosignals visualization, capable of direct interaction with all PLUX devices.

Core functionality includes sensor data acquisition from multiple channels and devices, data visualization and recording, as well as loading of pre-recorded signals. OpenSignals is also a Python-powered web-based software framework, targeted at rapid application development; a bare bone code base is available on GitHub

In addition, OpenSignals has a suite of data analysis add-ons to create reports from the recorded data and extract features directly from the signals without having to do any coding. biosignalsplux Research and Professional lab kits already include some or all of the add-ons upon purchase, although add-ons can also be purchased individually in our web store. See the add-ons section for a complete listing.



The OpenSignal's datasheet is available here.

The user manual for OpenSignals (r)evolution (beta v.2015) is available here

Download for your OS

New beta available: May 16 2017 (win/mac)

Win 32-bit (beta v.2017)
Win 64-bit (beta v.2017)

Windows (v.2014)
Mac OS X (beta v.2017)

Linux (v.2017)
Linux (alpha v.2013)

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
Carlos Martén, David Marquez
and Abraham Otero
Universidad San Pablo CEU

Beyond the base data acquistion, visualization, and playback functionalities, OpenSignals also has a suite of signal processing and reporting add-ons, which enable data analysis and feature extraction directly from the acquired data without having to do any coding.



Sample Report

Electrodermal Activity (EDA) Events
Electrodermal responses are characterized as phasic changes in the skin conductance, and associated with the sympathetic nervous system activation. This plugin has been designed to compute overall statistics, basic spectral analysis, and extract typical event-related phasic features from Electrodermal Activity (EDA) sensor data. PDF
included free of charge
in the following kits:
Electromyography (EMG) Analysis
Muscle activity is usually assessed using temporal and spectral features. With this plugin, you will be able to extract useful statistical information from Electromyography (EMG) sensor data. Its automatic onset detection algorithm enables the analysis of each individual muscle activation event, in addition to the overall analysis of the recording session. Timings analysis is also done for each activation relative to a reference muscle. PDF
included free of charge
in the following kits:
Heart Rate Variability (HRV)
Heart Rate Variability (HRV) provides important quantitative markers related with the sympathetic or vagal activity. This plugin enables the seamless extaction and analysis of temporal, spectral, and non linear parameters from Electrocardiography (ECG) or Blood Volume Pulse (BVP) sensor data. All the algorithms were implemented according to the "Standards of Measurement, Physiological Interpretation, and Clinical Use" devised by the joint European Society of Cardiology and North American Society of Pacing Electrophysiology task force. PDF
included free of charge
in the following kits:
Respiratory data provide useful information about the breathing dynamics. Designed to work with Respiration (PZT) and Respiration (RIP) sensor data, this plugin is a convenient way to determine respiratory rate and other useful temporal and statistical parameters associated with the respiratory cycles. PDF
included free of charge
in the following kits:
Video Synchronization
Multimodal data acquisition in human studies usually involves recording data from sources other than the biosignal acquisition hardware devices (e.g. video camera). Given that the biosignal hardware and the camera are independent recording sources, a common problem when replaying the recording session is the synchronization of both. This plugin was created to provide an easy way to replay biosignal data synchronously with video using for example our LED accessory to provide a common event to both devices.
included free of charge
in the following kits:
Force Platform
Force data can be used for several applications. Center of gravity distribution, jump analysis, weight assessment and force production capacity are just some of applications. This plugin allows you to observe, in real-time, the center of gravity and the force produced in each moment.
included free of charge
in the following kits:
Muscular Load
Muscle Load plugin evaluates the muscular load that the muscles are subjected during a normal work day. It measures the static, median and high intensity levels.
included free of charge
in the following kits:

* Linux version available upon request:

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