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

Wei Wang, Alan D. Degenhart, John W. Kelly, Robin C. Ashmore, Jennifer L. Collinger, Elizabeth C. Tyler-Kabara, Douglas J. Weber

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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.

Original languageEnglish
Article number363565
JournalComputational Intelligence and Neuroscience
Volume2011
DOIs
StatePublished - 2011

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