Wang, W and Degenhart, AD and Kelly, JW and Ashmore, RC and Collinger, JL and Tyler-Kabara, EC and Weber, DJ
(2011)
Craniux: A LabVIEW-based modular software framework for brain-machine interface research.
Computational Intelligence and Neuroscience, 2011.
ISSN 1687-5265
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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. © 2011 Alan D. Degenhart et al.
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