Title :
Goal-directed state equation for tracking reaching movements using neural signals
Author :
Srinivasan, Lakshminarayan ; Eden, Uri T. ; Willsky, Alan S. ; Brown, Emery N.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA
Abstract :
This paper addresses the problem of estimating reaching movements. We derive a Bayesian-optimal discrete-time state equation to support real-time filters that incorporate observations about the target position and arm trajectory. The resulting algorithm is compatible with any filtering method, such as point process or Kalman filters, and any recording modality, such as multielectrode arrays, intracortical EEG, or eye trackers
Keywords :
Bayes methods; Kalman filters; biomechanics; electroencephalography; medical signal processing; microelectrodes; neurophysiology; Bayesian-optimal discrete-time state equation; Kalman filters; eye trackers; goal-directed state equation; intracortical EEG; multielectrode arrays; neural signals; point process; reaching movements; real-time filters; Anesthesia; Bayesian methods; Brain modeling; Equations; Filters; Hospitals; Least squares approximation; State estimation; State-space methods; Tracking;
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
DOI :
10.1109/CNE.2005.1419630
