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Brain-Computer Interface ResearchBrain-Machine Interface Development for Finger Movement Control

Brain-Computer Interface Research: Brain-Machine Interface Development for Finger Movement Control [There have been many developments in brain-machine interfaces (BMI) for controlling upper limb movements such as reaching and grasping. One way to expand the usefulness of BMIs in replacing motor functions for patients with spinal cord injuries and neuromuscular disorders would be to improve the dexterity of upper limb movements performed by including more control of individual finger movements. Many studies have been focusing on understanding the organization of movement control in the sensorimotor cortex of the human brain. Finding the specific mechanisms for neural control of different movements will help focus signal acquisition and processing so as to improve BMI control of complex actions. In a recently published study, we demonstrated, for the first time, online BMI control of individual finger movements using electrocorticography recordings from the hand area of sensorimotor cortex. This study expands the possibilities for combined control of arm movements and more dexterous hand and finger movements.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Brain-Computer Interface ResearchBrain-Machine Interface Development for Finger Movement Control

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2017
ISBN
978-3-319-57131-7
Pages
31 –49
DOI
10.1007/978-3-319-57132-4_4
Publisher site
See Chapter on Publisher Site

Abstract

[There have been many developments in brain-machine interfaces (BMI) for controlling upper limb movements such as reaching and grasping. One way to expand the usefulness of BMIs in replacing motor functions for patients with spinal cord injuries and neuromuscular disorders would be to improve the dexterity of upper limb movements performed by including more control of individual finger movements. Many studies have been focusing on understanding the organization of movement control in the sensorimotor cortex of the human brain. Finding the specific mechanisms for neural control of different movements will help focus signal acquisition and processing so as to improve BMI control of complex actions. In a recently published study, we demonstrated, for the first time, online BMI control of individual finger movements using electrocorticography recordings from the hand area of sensorimotor cortex. This study expands the possibilities for combined control of arm movements and more dexterous hand and finger movements.]

Published: Apr 30, 2017

Keywords: Brain-machine interface (BMI); Brain-computer interface (BCI); Electrocorticography (ECoG); Finger movements

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