Hypothesis for the mechanism of action of ECAP-controlled closed-loop systems for spinal cord stimulation.

ECAP-controlled closed-loop systems bioelectric potentials biomedical electrodes clinical research closed loop systems closed-loop control adjusts closed-loop operational modes evoked compound action potential recording improved pain relief improving therapeutic systems measured neural recruitment medical computing nervous system neural activity neuromodulation applications neuromuscular stimulation neurophysiology patient treatment relates more consistent neural recruitment spinal cord stimulation spinal cord stimulators stimulation parameters therapeutic benefit

Journal

Healthcare technology letters
ISSN: 2053-3713
Titre abrégé: Healthc Technol Lett
Pays: England
ID NLM: 101646459

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 01 12 2019
revised: 06 05 2020
accepted: 15 05 2020
entrez: 6 8 2020
pubmed: 6 8 2020
medline: 6 8 2020
Statut: epublish

Résumé

Advances in technology and improvement of efficacy for many neuromodulation applications have been achieved without understanding the relationship between the stimulation parameters and the neural activity which is generated in the nervous system. It is the neural activity that ultimately drives the therapeutic benefit and the advent of evoked compound action potential recording allows this activity to be directly measured and quantified. Closed-loop control adjusts the stimulation parameters to maintain a predetermined level of neural recruitment and has been shown to provide improved pain relief in individuals with spinal cord stimulators. However, no mechanism that relates more consistent neural recruitment to patient outcomes has been proposed. The authors propose a hypothesis that may explain the difference in efficacy between open- and closed-loop operational modes by considering the relationship between measured neural recruitment with hypothetical dose and side effect response curves. This provides a rational basis for directing clinical research and improving therapeutic systems.

Identifiants

pubmed: 32754341
doi: 10.1049/htl.2019.0110
pii: HTL.2019.0110
pmc: PMC7353820
doi:

Types de publication

Journal Article

Langues

eng

Pagination

76-80

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Auteurs

John Parker (J)

Saluda Medical Pty Ltd Artarmon, NSW, 2069, Australia.
Graduate School of Biomedical Engineering, University of New South Wales, Kensington, Australia.

Dean Karantonis (D)

Saluda Medical Pty Ltd Artarmon, NSW, 2069, Australia.

Peter Single (P)

Saluda Medical Pty Ltd Artarmon, NSW, 2069, Australia.

Classifications MeSH