Energy-optimal electrical-stimulation pulses shaped by the least-action principle
Open accessAbstract
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.
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In implanted devices, exponential-shaped waveforms utilizing minimal energy can minimize the power requirement for activation of larger and closer axons.
“In implanted devices, exponential-shaped waveforms, utilizing minimal energy, can be used to minimize the power requirement for activation of larger and closer axons (Wongsarnpigoon and Grill, 2010; Krouchev et al., 2014).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Krouchev et al., 2014
The Results (Part II, page not provided) examine energy-optimal exponential-growth waveforms, but say linear-growth waveforms perform best for most durations. The Discussion and Conclusions (page not provided) identify energy minimization as relevant to implanted-device design and say the optimal extracellular pattern depends on electrode distance. The paper does not establish that exponential waveforms minimize power for activation of larger and closer axons. (LLM, conf=0.86)
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References 36 · Cited by 29
Research works printed but not linked: 1
- [29]Danner S (2010) Master thesis: Computer simulation of electrically stimulated nerve fibers in the human spinal cord. TU Vienna, Inst for Scientific Computing & Analysis, Advisor: F Rattay.
- Authors
- Krouchev, N. I., Danner, S. M., Vinet, A., Rattay, F., & Sawan, M.
- Affiliations
- Polytechnique Montréal (CA)
- TU Wien (AT)
- Université de Montréal (CA)
- Corresponding author
- Krouchev, Nedialko I.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-03-13
- Volume
- 9
- Issue
- 3
- Pages
- e90480
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3953645
- OpenAlex
- W2034083878
- Cited by
- 29
- References
- 36
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 5 · 2018: 6 · 2017: 3 · 2016: 4 · 2015: 5 · 2014: 1
- FWCI
- 1.98
- Type
- journal article
- Language
- en
- Update notices
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- Funders
- Vienna Science and Technology Fund (LS11-057)
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- electrical stimulation, least action principle, energy minimization, excitable tissues, action potential, finite-horizon optimal control, pulse duration, rectangular pulses, battery life
- MeSH terms
- Algorithms, Animals, Axons, Biomedical Engineering, Computer Simulation, Electric Stimulation, Equipment Design, Humans, Mathematics, Models, Theoretical, Myelin Sheath, Temperature, Peripheral Nervous System
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