Design principles for noninvasive brain-machine interfaces.

Jose L. Contreras Vidal; Trent J. Bradberry

Design principles for noninvasive brain-machine interfaces.

Jose L. Contreras Vidal, Trent J. Bradberry

Research output: Contribution to journal › Article › peer-review

Abstract

With the advent of sophisticated prosthetic limbs, the challenge is now to develop and demonstrate optimal closed-loop control of the these limbs using neural measurements from single/multiple unit activity (SUA/MUA), electrocorticography (ECoG), local field potentials (LFP), scalp electroencephalography (EEG) or even electromyography (EMG) after targeted muscle reinnervation (TMR) in subjects with upper limb disarticulation. In this paper we propose design principles for developing a noninvasive EEG-based brain-machine interface (BMI) for dexterous control of a high degree-of-freedom, biologically realistic limb.

Original language	English
Pages (from-to)	4223-4226
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume	2011
State	Published - Dec 1 2011

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

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Design principles for noninvasive brain-machine interfaces. / Contreras Vidal, Jose L.; Bradberry, Trent J.
In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2011, 01.12.2011, p. 4223-4226.

Research output: Contribution to journal › Article › peer-review

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Design principles for noninvasive brain-machine interfaces.

Abstract

ASJC Scopus subject areas

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