| Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand. | |
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MedLine Citation:
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PMID: 20489239 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Four human subjects undergoing subdural electrocorticography for epilepsy surgery engaged in a range of finger and hand movements. We observed that the amplitudes of the low-pass filtered electrocorticogram (ECoG), also known as the local motor potential (LMP), over specific peri-Rolandic electrodes were correlated (p < 0.001) with the position of individual fingers as the subjects engaged in slow and deliberate grasping motions. A generalized linear model (GLM) of the LMP amplitudes from those electrodes yielded predictions for positions of the fingers that had a strong congruence with the actual finger positions (correlation coefficient, r; median = 0.51, maximum = 0.91), during displacements of up to 10 cm at the fingertips. For all the subjects, decoding filters trained on data from any given session were remarkably robust in their prediction performance across multiple sessions and days, and were invariant with respect to changes in wrist angle, elbow flexion and hand placement across these sessions (median r = 0.52, maximum r = 0.86). Furthermore, a reasonable prediction accuracy for grasp aperture was achievable with as few as three electrodes in all subjects (median r = 0.49; maximum r = 0.90). These results provide further evidence for the feasibility of robust and practical ECoG-based control of finger movements in upper extremity prosthetics. |
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Authors:
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Soumyadipta Acharya; Matthew S Fifer; Heather L Benz; Nathan E Crone; Nitish V Thakor |
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Publication Detail:
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Type: Journal Article Date: 2010-05-20 |
Journal Detail:
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Title: Journal of neural engineering Volume: 7 ISSN: 1741-2552 ISO Abbreviation: J Neural Eng Publication Date: 2010 Aug |
Date Detail:
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Created Date: 2010-07-20 Completed Date: 2010-11-30 Revised Date: 2011-08-01 |
Medline Journal Info:
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Nlm Unique ID: 101217933 Medline TA: J Neural Eng Country: England |
Other Details:
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Languages: eng Pagination: 046002 Citation Subset: IM |
Affiliation:
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Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. acharya@jhu.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Algorithms* Electrocardiography / methods* Evoked Potentials, Motor / physiology* Female Fingers / physiology* Hand Strength / physiology* Humans Male Middle Aged Movement / physiology* Posture / physiology* Young Adult |
| Grant Support | |
ID/Acronym/Agency:
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R01 NS040596-10/NS/NINDS NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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