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Toward synergy-based brain-machine interfaces

Vinjamuri, R and Weber, DJ and Mao, ZH and Collinger, JL and Degenhart, AD and Kelly, JW and Boninger, ML and Tyler-Kabara, EC and Wang, W (2011) Toward synergy-based brain-machine interfaces. IEEE Transactions on Information Technology in Biomedicine, 15 (5). 726 - 736. ISSN 1089-7771

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Abstract

This paper demonstrates a synergy-based brain-machine interface that uses low-dimensional command signals to control a high dimensional virtual hand. First, temporal postural synergies were extracted from the angular velocities of finger joints of five healthy subjects when they performed hand movements that were similar to activities of daily living. Two synergies inspired from the extracted synergies, namely, two-finger pinch and whole-hand grasp, were used in real-time brain control, where a virtual hand with 10 degrees of freedom was controlled to grasp or pinch virtual objects. These two synergies were controlled by electrocorticographic (ECoG) signals recorded from two electrodes of an electrode array that spanned motor and speech areas of an individual with intractable epilepsy, thus demonstrating closed loop control of a synergy-based brain-machine interface. © 2006 IEEE.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Vinjamuri, R
Weber, DJdougweber@pitt.eduDJW500000-0002-9782-3497
Mao, ZHzhm4@pitt.eduZHM4
Collinger, JLcollinger@pitt.eduCOLLINGR
Degenhart, AD
Kelly, JW
Boninger, MLboninger@pitt.eduBONINGER
Tyler-Kabara, ECtylerk@pitt.eduTYLERK
Wang, W
Centers: Other Centers, Institutes, Offices, or Units > Human Engineering Research Laboratories
Date: 1 September 2011
Date Type: Publication
Journal or Publication Title: IEEE Transactions on Information Technology in Biomedicine
Volume: 15
Number: 5
Page Range: 726 - 736
DOI or Unique Handle: 10.1109/titb.2011.2160272
Schools and Programs: School of Health and Rehabilitation Sciences > Rehabilitation Science and Technology
Refereed: Yes
ISSN: 1089-7771
MeSH Headings: Adult; Brain--physiology; Electroencephalography; Female; Humans; Male; Man-Machine Systems; Models, Theoretical
PubMed ID: 21708506
Date Deposited: 04 Oct 2012 14:05
Last Modified: 02 Feb 2019 16:57
URI: http://d-scholarship.pitt.edu/id/eprint/14744

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