DocumentCode :
1017763
Title :
State-Space Decoding of Goal-Directed Movements
Author :
Kulkarni, J.E. ; Paninski, L.
Author_Institution :
Columbia Univ., New York
Volume :
25
Issue :
1
fYear :
2008
fDate :
6/30/1905 12:00:00 AM
Firstpage :
78
Lastpage :
86
Abstract :
This article reviews an earlier recursive approach for computing such reach trajectories and presents a new nonrecursive approach, with computations that may be performed analytically for the most part, leading to a significant gain in the accuracy of the inferred trajectory while imposing a very small computational burden. Extensions of the approach are discussed including the incorporation of multiple target observations at different times, and multiple possible target locations.
Keywords :
biomechanics; decoding; medical signal processing; neurophysiology; physiological models; target tracking; goal-directed movements; state-space decoding; Bayesian methods; Computational modeling; Decoding; Gaussian noise; Nonlinear filters; Performance analysis; Predictive models; Prosthetics; Signal processing algorithms; Trajectory;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2008.4408444
Filename :
4408444
Link To Document :
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