BioSig - A toolbox for biomedical signal processing

BioSig supports about 50 different data formats, and provides numourous tools for the analysis of electrophysilological data.
Updated 22 Aug 2020

BioSig is a library for biomedical signal processing, featuring for example the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), respiration, patch-clamp electrophysiology. Major application areas are: Neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems and sleep research. The aim of the BioSig project is to foster research in biomedical signal processing by provide tools for numerous applications. Generally, many concerns have to be addressed in this scientific field. BioSig handles this by providing solutions for data acquisition, artifact processing, quality control, feature extraction, classification, modeling, data visualization.

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
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