xBCI: A Generic Platform for Development of an Online BCI System

A generic platform for realizing an online brain–computer interface (BCI) named xBCI was developed. The platform consists of several functional modules (components), such as data acquisition, storage, mathematical operations, signal processing, network communication, data visualization, experiment c...

Full description

Saved in:
Bibliographic Details
Published in:IEEJ transactions on electrical and electronic engineering 2010-07, Vol.5 (4), p.467-473
Main Authors: Susila, I Putu, Kanoh, Shin'ichiro, Miyamoto, Ko-ichiro, Yoshinobu, Tatsuo
Format: Article
Language:English
Subjects:
Applied sciences
brain-computer interface (BCI)
Circuit properties
Circuits of signal characteristics conditioning (including delay circuits)
Electric, optical and optoelectronic circuits
Electrical engineering. Electrical power engineering
Electrical machines
electroencephalography (EEG)
Electronic circuits
Electronics
Exact sciences and technology
generic platform
Hardware
Input-output equipment
Miscellaneous
Recording and replay of audio and video signals
Storage and reproduction of information
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A generic platform for realizing an online brain–computer interface (BCI) named xBCI was developed. The platform consists of several functional modules (components), such as data acquisition, storage, mathematical operations, signal processing, network communication, data visualization, experiment control, and real‐time feedback presentation. Users can easily build their own BCI systems by combining the components on a graphical‐user‐interface (GUI) based diagram editor. They can also extend the platform by adding components as plug‐ins or by creating components using a scripting language. The platform works on multiple operating systems and supports parallel (multi‐threaded) data processing and data transfer to other PCs through a network transmission control protocol/internet protocol or user datagram protocol (TCP/IP or UDP). A BCI system based on motor imagery and a steady‐state visual evoked potential (SSVEP) based BCI system were constructed and tested on the platform. The results show that the platform is able to process multichannel brain signals in real time. The platform provides users with an easy‐to‐use system development tool and reduces the time needed to develop a BCI system. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
ISSN:1931-4973
1931-4981
DOI:10.1002/tee.20560