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Modeling motor responses of paraplegics under epidural spinal cord stimulation

Feldman, Ellen R. and Burdick, Joel W. (2017) Modeling motor responses of paraplegics under epidural spinal cord stimulation. In: 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE , Piscataway, NJ, pp. 354-357. ISBN 978-1-5090-4603-4. https://resolver.caltech.edu/CaltechAUTHORS:20170816-154447447

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Abstract

Epidural spinal cord stimulation (SCS) is a promising therapy for spinal cord injury (SCI). This paper combines experimental data from epidurally-stimulated human paraplegic patients with computational models of SCS to identify the electric field features correlated with the patients' ability to stand. We locate the spinal cord regions most critical to stimulated standing and find that the most informative stimulating features agree with results from nerve fiber theory. Further applications of our work include developing algorithms to optimize stimulation configurations for SCI patients, determining optimal electrode placement, and considering novel electrode array designs.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/NER.2017.8008363DOIArticle
http://ieeexplore.ieee.org/document/8008363/PublisherArticle
http://resolver.caltech.edu/CaltechAUTHORS:20170816-154447447Related ItemTechnical Report
ORCID:
AuthorORCID
Feldman, Ellen R.0000-0001-5263-0598
Additional Information:© 2017 IEEE. This work was supported by the National Science Foundation, the National Institutes of Health, and the Christopher and Dana Reeve Foundation.
Funders:
Funding AgencyGrant Number
NSFUNSPECIFIED
NIHUNSPECIFIED
Christopher and Dana Reeve FoundationUNSPECIFIED
Record Number:CaltechAUTHORS:20170816-154447447
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170816-154447447
Official Citation:E. R. Feldman and J. W. Burdick, "Modeling motor responses of paraplegics under epidural spinal cord stimulation," 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), Shanghai, China, 2017, pp. 354-357. doi: 10.1109/NER.2017.8008363
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:80518
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:16 Aug 2017 23:23
Last Modified:03 Oct 2019 18:32

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