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Computational Intelligence and Neuroscience
Volume 2011 (2011), Article ID 363565, 13 pages
http://dx.doi.org/10.1155/2011/363565
Research Article

Craniux: A LabVIEW-Based Modular Software Framework for Brain-Machine Interface Research

1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15219, USA
2Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
3Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA
4Department of Veterans Affairs, Human Engineering Research Laboratories, Pittsburgh, PA 15206, USA
5Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA

Received 1 October 2010; Revised 7 December 2010; Accepted 24 January 2011

Academic Editor: Sylvain Baillet

Copyright © 2011 Alan D. Degenhart et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper presents “Craniux,” an open-access, open-source software framework for brain-machine interface (BMI) research. Developed in LabVIEW, a high-level graphical programming environment, Craniux offers both out-of-the-box functionality and a modular BMI software framework that is easily extendable. Specifically, it allows researchers to take advantage of multiple features inherent to the LabVIEW environment for on-the-fly data visualization, parallel processing, multithreading, and data saving. This paper introduces the basic features and system architecture of Craniux and describes the validation of the system under real-time BMI operation using simulated and real electrocorticographic (ECoG) signals. Our results indicate that Craniux is able to operate consistently in real time, enabling a seamless work flow to achieve brain control of cursor movement. The Craniux software framework is made available to the scientific research community to provide a LabVIEW-based BMI software platform for future BMI research and development.