Title : 
State-Space Decoding of Goal-Directed Movements
         
        
            Author : 
Kulkarni, J.E. ; Paninski, L.
         
        
            Author_Institution : 
Columbia Univ., New York
         
        
        
        
        
            fDate : 
6/30/1905 12:00:00 AM
         
        
        
        
            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;
         
        
        
            Journal_Title : 
Signal Processing Magazine, IEEE
         
        
        
        
        
            DOI : 
10.1109/MSP.2008.4408444