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

fYear

2005

fDate

16-19 March 2005

Firstpage

352

Lastpage

355

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-8710-4

Type

conf

DOI

10.1109/CNE.2005.1419630

Filename

1419630

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3011295