TY - JOUR
T1 - Craniux
T2 - A LabVIEW-based modular software framework for brain-machine interface research
AU - Wang, Wei
AU - Degenhart, Alan D.
AU - Kelly, John W.
AU - Ashmore, Robin C.
AU - Collinger, Jennifer L.
AU - Tyler-Kabara, Elizabeth C.
AU - Weber, Douglas J.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79959222549&partnerID=8YFLogxK
U2 - 10.1155/2011/363565
DO - 10.1155/2011/363565
M3 - Article
C2 - 21687575
AN - SCOPUS:79959222549
VL - 2011
JO - Computational Intelligence and Neuroscience
JF - Computational Intelligence and Neuroscience
SN - 1687-5265
M1 - 363565
ER -