Optimizing stimulus waveforms for electroceuticals.

Bioelectronic medicine Calculus of variations Electrical stimulation Optimization algorithms Stochastic search

Journal

Biological cybernetics
ISSN: 1432-0770
Titre abrégé: Biol Cybern
Pays: Germany
ID NLM: 7502533

Informations de publication

Date de publication:
04 2019
Historique:
received: 07 05 2018
accepted: 01 08 2018
pubmed: 14 8 2018
medline: 21 8 2019
entrez: 13 8 2018
Statut: ppublish

Résumé

There has been a growing interest in the use of electrical stimulation as a therapy across diverse medical conditions. Most electroceutical devices use simple waveforms, for example sinusoidal or rectangular biphasic pulses. Clinicians empirically tune the waveform parameters (e.g. amplitude, frequency) without altering the fundamental shape of the stimulus. In this article, we review computational strategies that have been used to optimize the shape of stimulus waveforms in order to improve clinical outcomes, and we discuss potential directions for future exploration.

Identifiants

pubmed: 30099589
doi: 10.1007/s00422-018-0774-x
pii: 10.1007/s00422-018-0774-x
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Langues

eng

Pagination

191-199

Subventions

Organisme : NIH HHS
ID : R01 GM104987
Pays : United States

Auteurs

Joshua Chang (J)

Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, 78701, USA. joshua.chang@austin.utexas.edu.

David Paydarfar (D)

Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, 78701, USA.
The Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, 78701, USA.

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Classifications MeSH