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Biological Cybernetics

, Volume 113, Issue 1–2, pp 191–199 | Cite as

Optimizing stimulus waveforms for electroceuticals

  • Joshua ChangEmail author
  • David Paydarfar
Prospects
  • 183 Downloads

Abstract

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.

Keywords

Electrical stimulation Bioelectronic medicine Calculus of variations Stochastic search Optimization algorithms 

Notes

Acknowledgements

This work was supported by the Clayton Foundation for Research and NIH R01 GM104987.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Neurology, Dell Medical SchoolThe University of Texas at AustinAustinUSA
  2. 2.The Institute for Computational Engineering and SciencesThe University of Texas at AustinAustinUSA

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