Work

Evaluating Multi-Modal Brain-Computer Interfaces for Controlling Arm Movements Using a Simulator of Human Reaching

Year: 2014

Type: article

Abstract: Brain--Computer Interfaces (BCIs) provide a potential means for individuals with tetraplegia to command arm prostheses such as Functional Electrical Stimulation (FES) systems and regain the ability to make functional movements of their arms.Our work thus presents a closed--loop BCI simulator that models error corrections.Among other uses, this kind of simulator can be used to evaluate methods to incorporate goal--tuned neurons into the decoder.We anticipate that this kind of tool will be important for development of future BCIs.

Source: OhioLink ETD Center (Ohio Library and Information Network)

Author: James Liao

Institution: Case Western Reserve University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Case Western Reserve University, National Institutes of Health, National Institute of General Medical Sciences, National Center for Medical Rehabilitation Research

Awards: G2863215849, Medical Scientist Training Program, G4306634993, G6709163505