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

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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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Wang, Wwangwei3@pitt.eduWANGWEI3
Degenhart, ADadd19@pitt.eduADD19
Kelly, JW
Ashmore, RC
Collinger, JLcollinger@pitt.eduCOLLINGR
Tyler-Kabara, ECtylerk@pitt.eduTYLERK
Weber, DJdougweber@pitt.eduDJW500000-0002-9782-3497
Centers: Other Centers, Institutes, Offices, or Units > Human Engineering Research Laboratories
Date: 22 June 2011
Date Type: Publication
Journal or Publication Title: Computational Intelligence and Neuroscience
Volume: 2011
DOI or Unique Handle: 10.1155/2011/363565
Schools and Programs: School of Health and Rehabilitation Sciences > Rehabilitation Science and Technology
Refereed: Yes
ISSN: 1687-5265
MeSH Headings: Algorithms; Brain--physiology; Brain Waves--physiology; Electroencephalography; Humans; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Software; Software Design; Time Factors; User-Computer Interface
Other ID: NLM PMC3113411
PubMed Central ID: PMC3113411
PubMed ID: 21687575
Date Deposited: 30 Jan 2013 20:58
Last Modified: 05 Oct 2020 13:55
URI: http://d-scholarship.pitt.edu/id/eprint/17130

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