Dynamic-goal state equations for tracking reaching movements using neural signals

Author

Srinivasan, Lakshminarayan ; Brown, Emery N.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Harvard, MA

fYear

2006

fDate

20-22 Feb. 2006

Firstpage

758

Lastpage

762

Abstract

Motor prosthetic algorithms were recently proposed to combine target and path information to drive reaching arm movements to a static goal. In this paper, we extend two approaches to support goals that may themselves evolve over the duration of the reaching movement. The resulting probabilistic and control-based dynamic-goal reach state equations represent an intermediate level of user flexibility between static-goal reach state equations and unconstrained movement

Keywords

medical control systems; neurophysiology; probability; prosthetics; user interfaces; dynamic-goal reach state equations; motor prosthetic algorithms; neural prosthetic interface; neural signals; probabilistic equations; reaching arm movement tracking; unconstrained movement; Anesthesia; Equations; Hospitals; Prosthetics; Random variables; State estimation; Stochastic processes; Tracking; Trajectory; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Robotics and Biomechatronics, 2006. BioRob 2006. The First IEEE/RAS-EMBS International Conference on

Conference_Location

Pisa

Print_ISBN

1-4244-0040-6

Type

conf

DOI

10.1109/BIOROB.2006.1639181

Filename

1639181

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2038864