2009 Special Issue: Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans

Authors:
Aysegul Gunduz;Justin C. Sanchez;Paul R. Carney;Jose C. Principe
Affiliations:
Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, United States;Department of Pediatrics, Division of Neurology University of Florida, Gainesville, FL 32611, United States;Department of Pediatrics, Division of Neurology University of Florida, Gainesville, FL 32611, United States;Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, United States
Venue:
Neural Networks
Year:
2009

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Editorial: Recent advances in brain-machine interfaces

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Abstract

Brain-machine interfaces (BMIs) aim to translate the motor intent of locked-in patients into neuroprosthetic control commands. Electrocorticographical (ECoG) signals provide promising neural inputs to BMIs as shown in recent studies. In this paper, we utilize a broadband spectrum above the fast gamma ranges and systematically study the role of spectral resolution, in which the broadband is partitioned, on the reconstruction of the patients' hand trajectories. Traditionally, the power of ECoG rhythms (