Nedialko I. Krouchev, Simon M. Danner, Alain Vinet, Frank Rattay and Mohamad Sawan
Article (2014)
|
Open Access to the full text of this document Published Version Terms of Use: Creative Commons Attribution Download (718kB) |
Abstract
Electrical stimulation (ES) devices interact with excitable neural tissue toward eliciting action potentials (AP's) by specific current patterns. Low-energy ES prevents tissue damage and loss of specificity. Hence to identify optimal stimulation-current waveforms is a relevant problem, whose solution may have significant impact on the related medical (e. g. minimized side-effects) and engineering (e. g. maximized battery-life) efficiency. This has typically been addressed by simulation (of a given excitable-tissue model) and iterative numerical optimization with hard discontinuous constraints - e.g. AP's are all-or-none phenomena. Such approach is computationally expensive, while the solution is uncertain - e. g. may converge to local-only energy-minima and be model-specific. We exploit the Least-Action Principle (LAP). First, we derive in closed form the general template of the membrane-potential's temporal trajectory, which minimizes the ES energy integral over time and over any space-clamp ionic current model. From the given model we then obtain the specific energy-efficient current waveform, which is demonstrated to be globally optimal. The solution is model-independent by construction. We illustrate the approach by a broad set of example situations with some of the most popular ionic current models from the literature. The proposed approach may result in the significant improvement of solution efficiency: cumbersome and uncertain iteration is replaced by a single quadrature of a system of ordinary differential equations. The approach is further validated by enabling a general comparison to the conventional simulation and optimization results from the literature, including one of our own, based on finite-horizon optimal control. Applying the LAP also resulted in a number of general ES optimality principles. One such succinct observation is that ES with long pulse durations is much more sensitive to the pulse's shape whereas a rectangular pulse is most frequently optimal for short pulse durations.
Uncontrolled Keywords
Subjects: | 2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering |
---|---|
Department: | Department of Electrical Engineering |
Research Center: | Other |
Funders: | Fonds de recherche du Quebec - Nature et technologies and the Natural Sciences, Engineering Research Council of Canada, Vienna Science and Technology Fund |
Grant number: | LS11-057 |
PolyPublie URL: | https://publications.polymtl.ca/3463/ |
Journal Title: | PLOS One (vol. 9, no. 3) |
Publisher: | PLOS |
DOI: | 10.1371/journal.pone.0090480 |
Official URL: | https://doi.org/10.1371/journal.pone.0090480 |
Date Deposited: | 22 Nov 2018 15:36 |
Last Modified: | 08 Apr 2025 21:24 |
Cite in APA 7: | Krouchev, N. I., Danner, S. M., Vinet, A., Rattay, F., & Sawan, M. (2014). Energy-Optimal Electrical-Stimulation Pulses Shaped by the Least-Action Principle. PLOS One, 9(3). https://doi.org/10.1371/journal.pone.0090480 |
---|---|
Statistics
Total downloads
Downloads per month in the last year
Origin of downloads
Dimensions