TY - JOUR
T1 - Toward synergy-based brain-machine interfaces
AU - Vinjamuri, Ramana
AU - Weber, Douglas J.
AU - Mao, Zhi Hong
AU - Collinger, Jennifer L.
AU - Degenhart, Alan D.
AU - Kelly, John W.
AU - Boninger, Michael L.
AU - Tyler-Kabara, Elizabeth C.
AU - Wang, Wei
N1 - Funding Information:
Manuscript received December 14, 2010; revised April 10, 2011; accepted June 10, 2011. Date of publication June 23, 2011; date of current version September 2, 2011. This work was supported by Telemedicine and Advanced Technology Research Center (TATRC) of the US Army Medical Research and Material Command Agreement W81XWH-07-1-0716, a special grant from the Office of the Senior Vice Chancellor for the Health Sciences at the University of Pittsburgh. This publication was also made possible by Grant Number 5 UL1 RR024153 and KL2 RR024154 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. This project is also supported by the Craig H. Neilsen Foundation. Additional funding support was provided by NIH grants from the NIBIB (1R01EB007749) and NINDS (1R21NS056136 and 3R01NS050256-05S1).
PY - 2011/9
Y1 - 2011/9
N2 - This paper demonstrates a synergy-based brain-machine interface that uses low-dimensional command signals to control a high dimensional virtual hand. First, temporal postural synergies were extracted from the angular velocities of finger joints of five healthy subjects when they performed hand movements that were similar to activities of daily living. Two synergies inspired from the extracted synergies, namely, two-finger pinch and whole-hand grasp, were used in real-time brain control, where a virtual hand with 10 degrees of freedom was controlled to grasp or pinch virtual objects. These two synergies were controlled by electrocorticographic (ECoG) signals recorded from two electrodes of an electrode array that spanned motor and speech areas of an individual with intractable epilepsy, thus demonstrating closed loop control of a synergy-based brain-machine interface.
AB - This paper demonstrates a synergy-based brain-machine interface that uses low-dimensional command signals to control a high dimensional virtual hand. First, temporal postural synergies were extracted from the angular velocities of finger joints of five healthy subjects when they performed hand movements that were similar to activities of daily living. Two synergies inspired from the extracted synergies, namely, two-finger pinch and whole-hand grasp, were used in real-time brain control, where a virtual hand with 10 degrees of freedom was controlled to grasp or pinch virtual objects. These two synergies were controlled by electrocorticographic (ECoG) signals recorded from two electrodes of an electrode array that spanned motor and speech areas of an individual with intractable epilepsy, thus demonstrating closed loop control of a synergy-based brain-machine interface.
KW - Brain-machine interface
KW - kinematic synergies
KW - neural prosthesis
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=80052573990&partnerID=8YFLogxK
U2 - 10.1109/TITB.2011.2160272
DO - 10.1109/TITB.2011.2160272
M3 - Article
C2 - 21708506
AN - SCOPUS:80052573990
SN - 1089-7771
VL - 15
SP - 726
EP - 736
JO - IEEE Transactions on Information Technology in Biomedicine
JF - IEEE Transactions on Information Technology in Biomedicine
IS - 5
M1 - 5928411
ER -