A Python package for supporting the external loading and processing of OpenSignals electrophysiological acquisitions.
This collection of code samples has the purpose to help users of PLUX Wireless Biosignals systems, such as bitalino or biosignalsplux, and to the researcher or student interested on recording processing and classifying biosignals signals. The examples are set on a level of complexity to inspire the users and programmers on how easy some tasks are and that more complex ones can also be achieved, by reusing and recreating some of the examples presented here.
A Python library (entitled opensignalstools <link to PyPi>) is the base toolbox to support the notebooks and to provide some base In many cases we also point and illustrate with code the usage of other python toolboxes dedicated to biosignal processing.
The notebooks will cover the full topics pipeline of working with biosignals: Open a file; Visualize the data online and offline, Process a one channel signal or a multi-channel acquisition, Detect relevant events in the signals, Extract features from many different type of sensors and domains, Decide among a set of classes with several machine learning approaches, Explain the obtained results with metrics and validations techniques.
These examples are carried in a multitude of biosignals <link to the page with notebooks grouped by signals used>, from ECG, EDA, EMG, Accelerometer, Respiration among many others.
We encourage you to share new example ideas, to pose questions :::ADD email here:::, and to make improvements or suggestion to this set of notebooks.
Be inspired on how to make the most of your biosignals!
What is OpenSignals
OpenSignals is the companion application to Plux devices (bitalino or biosignalsplux) where the users collect visualize an process biosignals in a intuitive user interface. Opensignals is free and can be used also with signals collected form other devices.
In some cases OpenSignals provides plugins for advanced signals processing operations that automate some of the research process. Some of the plugins are curated and advanced versions of the base notebooks explained in here.
The list of plugins can be found here: http://biosignalsplux.com/en/software/add-ons
What is PLUX
PLUX wireless biosignals is devoted to the creation innovative products for advanced biosignals monitoring platforms that integrate wearable body sensors combined with wireless connectivity, algorithms and software applications.
We have been perusing the mission of making biosignals as accessible as possible to researchers and students in many areas of application, ranging from biomedical engineering, computer science, human computer interaction, sport sciences, psychology, clinical research among other fields.
Access to opensignalstools Notebooks
Installation of opensignalstools package
In order to opensignalstools package be installed, the user should open a Windows command prompt (by searching for "cmd") and type the following instruction:
pip install opensignalstools
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|opensignalstools-0.6.0-py3-none-any.whl (25.7 MB) Copy SHA256 hash SHA256||Wheel||py3|
|opensignalstools-0.6.0.tar.gz (25.5 MB) Copy SHA256 hash SHA256||Source||None|