Craniux: a LabVIEW-based modular software framework for brain-machine interface research

Authors:
Alan D. Degenhart;John W. Kelly;Robin C. Ashmore;Jennifer L. Collinger;Elizabeth C. Tyler-Kabara;Douglas J. Weber;Wei Wang
Affiliations:
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA;Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA;Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA and Department of Veterans Affairs, Human Engineering Research Laboratories, Pittsburgh, PA;Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA and Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA;Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA and Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA and Department of Veterans A ...;Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA and Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA
Venue:
Computational Intelligence and Neuroscience - Special issue on academic software applications for electromagnetic brain mapping using MEG and EEG
Year:
2011

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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 amodular BMI software framework that is easily extendable. Specifically, it allows researchers to take advantage of multiple features inherent to the Lab VIEW 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 realtime 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.