Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/NER.2017.8008363 | 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) |
Keywords | Field | DocType |
motor responses,epidural spinal cord stimulation,spinal cord injury,therapy,epidurally-stimulated human paraplegic patients,computational models,feature correlated electric field,informative stimulating features,nerve fiber theory,optimized stimulation configurations,SCI patients,optimal electrode placement,electrode array designs | Spinal cord,Computer vision,Spinal cord injury,Electrode array,Computer science,Nerve fiber,Artificial intelligence,Physical medicine and rehabilitation,Spinal cord stimulation,Stimulation | Conference |
ISSN | ISBN | Citations |
1948-3546 | 978-1-5090-4604-1 | 1 |
PageRank | References | Authors |
0.59 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ellen R. Feldman | 1 | 1 | 0.59 |
| Burdick, J.W. | 2 | 2988 | 516.87 |