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

Author

Lorrain, T. ; Niazi, I.K. ; Thibergien, O. ; Jiang, N. ; Farina, D.

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

7302

Lastpage

7305

Abstract

Various research fields, such as brain computer interface, requires online acquisition and analysis of biological data to validate assumptions or to help obtaining insights into the physiological processes of the human body. In this paper we introduce the LivBioSig toolbox for online bio-signals processing and experimentation. This open source and modularized MATLAB toolbox allows performing various experiment paradigms involving online signal processing. These currently include synchronous and asynchronous BCI experiments, and event related stimulation experiments. The use of Graphic User Interfaces (GUI) makes the system suitable even for beginner Matlab users, and the experiments easily configurable. The modularized structure allows advanced users to develop the toolbox further to adapt it to the needs of the research fields.

Keywords

biomedical equipment; brain-computer interfaces; graphical user interfaces; mathematics computing; medical signal processing; LivBioSig toolbox; asynchronous BCI experiment; beginner Matlab user; brain computer interface; graphic user interfaces; modularized MATLAB toolbox; online bio-signal processing; synchronous BCI experiment; Biomedical engineering; Brain computer interfaces; Electroencephalography; Graphical user interfaces; MATLAB; Protocols; Signal processing; BCI; Online; Signal processing; Toolbox; Algorithms; Brain; Computer Graphics; Computer Simulation; Computers; Humans; Internet; Man-Machine Systems; Models, Neurological; Programming Languages; Signal Processing, Computer-Assisted; Signal Transduction; Software; User-Computer Interface;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091703

Filename

6091703