LivBioSig: development of a toolbox for online bio-signals processing and experimentation

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Online acquisition and analysis of biological data are crucial for validating hypotheses and understanding human physiological processes.
• Fields like brain-computer interface (BCI) demand efficient tools for real-time data handling.
• Existing solutions may lack flexibility or user-friendliness for diverse experimental paradigms.

Purpose of the Study:

• To introduce the LivBioSig toolbox, an open-source MATLAB environment for online bio-signal processing and experimentation.
• To provide a modular and user-friendly platform for researchers, including those new to MATLAB.
• To support various experimental paradigms, including BCI and event-related stimulation.

Main Methods:

• Development of an open-source, modular MATLAB toolbox named LivBioSig.
• Implementation of Graphical User Interfaces (GUI) for ease of use and experiment configuration.
• Inclusion of support for synchronous and asynchronous BCI experiments and event-related stimulation.

Main Results:

• LivBioSig enables online processing and experimentation with bio-signals.
• The toolbox supports multiple experimental paradigms, including BCI.
• GUI facilitates use for beginners, while modularity allows advanced customization.

Conclusions:

• LivBioSig provides a versatile and accessible platform for online bio-signal research.
• The toolbox can be extended by advanced users to meet specific research requirements.
• It facilitates advancements in fields requiring real-time biological data analysis, such as BCI.