Title :
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
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;
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
DOI :
10.1109/BIOROB.2006.1639181
