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

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

Degenhart, Alan D.;Kelly, John W.;Ashmore, Robin C.;Collinger, Jennifer L.;Tyler-Kabara, Elizabeth C.;Weber, Douglas J.;Wang, Wei;
Computational Intelligence and Neuroscience 2011 Vol. 2011 pp. -
225
degenhart2011craniuxcomputational

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.

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