TY - GEN
T1 - Decoding hand and cursor kinematics from magnetoencephalographic signals during tool use
AU - Bradberry, Trent J.
AU - Contreras-Vidal, José L.
AU - Rong, Feng
PY - 2008
Y1 - 2008
N2 - The ability to decode kinematics of intended movement from neural activity is essential for the development of prosthetic devices, such as artificial arms, that can aid motor-disabled persons. To date, most of the progress in the development of neuromotor prostheses has been obtained by decoding neural activity acquired through invasive means, such as microelectrode arrays seated into motor cortical tissue. In this study, we demonstrate the feasibility of decoding both hand position and velocity from non-invasive magnetoencephalographic signals during a center-out drawing task in familiar and novel environments. The mean correlation coefficients between measured and decoded kinematics ranged from 0.27-0.61 for the horizontal dimension of movement and 0.06-0.58 for the vertical dimension. Our results indicate that non-invasive neuroimaging signals may contain sufficient kinematic information for controlling neuromotor prostheses.
AB - The ability to decode kinematics of intended movement from neural activity is essential for the development of prosthetic devices, such as artificial arms, that can aid motor-disabled persons. To date, most of the progress in the development of neuromotor prostheses has been obtained by decoding neural activity acquired through invasive means, such as microelectrode arrays seated into motor cortical tissue. In this study, we demonstrate the feasibility of decoding both hand position and velocity from non-invasive magnetoencephalographic signals during a center-out drawing task in familiar and novel environments. The mean correlation coefficients between measured and decoded kinematics ranged from 0.27-0.61 for the horizontal dimension of movement and 0.06-0.58 for the vertical dimension. Our results indicate that non-invasive neuroimaging signals may contain sufficient kinematic information for controlling neuromotor prostheses.
UR - https://www.scopus.com/pages/publications/61849100464
UR - https://www.scopus.com/inward/citedby.url?scp=61849100464&partnerID=8YFLogxK
U2 - 10.1109/iembs.2008.4650412
DO - 10.1109/iembs.2008.4650412
M3 - Conference contribution
C2 - 19163915
AN - SCOPUS:61849100464
SN - 9781424418152
T3 - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
SP - 5306
EP - 5309
BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Y2 - 20 August 2008 through 25 August 2008
ER -