Brain-Machine Interface Control Algorithms

Motor brain-machine interfaces (BMI) allow subjects to control external devices by modulating their neural activity. BMIs record the neural activity, use a mathematical algorithm to estimate the subject's intended movement, actuate an external device, and provide visual feedback of the generate...

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Bibliographic Details
Published in:	IEEE transactions on neural systems and rehabilitation engineering Vol. 25; no. 10; pp. 1725 - 1734
Main Author:	Shanechi, Maryam M.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive estimation Algorithm design and analysis Algorithms Bayes methods Biofeedback Body mass Brain brain–machine interface (BMI) Control algorithms Control systems Control theory Decoders Decoding Feedback Firing pattern Kalman filters Kinematics Man-machine interfaces Mathematical model Motor task performance Nervous system neuroprosthetics Primates Prostheses Statistical inference Stochasticity Visual perception
ISSN:	1534-4320, 1558-0210, 1558-0210
Online Access:	Get full text
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