Cited by 104Neuroscience and Neural EngineeringVagus Nerve Stimulation ResearchPain Management and Treatment

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Efficiency Analysis of Waveform Shape for Electrical Excitation of Nerve Fibers

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Wongsarnpigoon, Amorn, Woock, John P., Grill, Warren M.·2010·IEEE Transactions on Neural Systems and Rehabilitation Engineering

DOI 10.1109/tnsre.2010.2047610PMC PMC3071515

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Abstract

Stimulation efficiency is an important consideration in the stimulation parameters of implantable neural stimulators. The objective of this study was to analyze the effects of waveform shape and duration on the charge, power, and energy efficiency of neural stimulation. Using a population model of mammalian axons and in vivo experiments on cat sciatic nerve, we analyzed the stimulation efficiency of four waveform shapes: square, rising exponential, decaying exponential, and rising ramp. No waveform was simultaneously energy-, charge-, and power-optimal, and differences in efficiency among waveform shapes varied with pulse width (PW). For short PWs (< or = 0.1 ms), square waveforms were no less energy-efficient than exponential waveforms, and the most charge-efficient shape was the ramp. For long PW s (> or = 0.5 ms), the square was the least energy-efficient and charge-efficient shape, but across most PW s, the square was the most power-efficient shape. Rising exponentials provided no practical gains in efficiency over the other shapes, and our results refute previous claims that the rising exponential is the energy-optimal shape. An improved understanding of how stimulation parameters affect stimulation efficiency will help improve the design and programming of implantable stimulators to minimize tissue damage and extend battery life.

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Authors: Wongsarnpigoon, A., Woock, J. P., & Grill, W. M.
Affiliations: Duke University (US)
ORCID: Grill, Warren M.
Venue: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2010-06
Volume: 18
Issue: 3
Pages: 319-328
ISSN: 1534-4320 (ISSN-L)
1558-0210
DOI: 10.1109/tnsre.2010.2047610
PMC: PMC3071515
OpenAlex: W2140643174
Cited by: 104
References: 32
Citations by year: 2026: 2 · 2025: 7 · 2024: 2 · 2023: 6 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 10 · 2018: 11 · 2017: 6 · 2016: 7 · 2015: 7 · 2014: 6 · 2013: 9 · 2012: 7
FWCI: 2.97
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute of Neurological Disorders and Stroke (R01NS040894, R01NS050514)
Topics: Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Life Sciences › Neuroscience › Neurology › Vagus Nerve Stimulation Research
Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
Keywords: neurostimulation, wave shape, implantable neural stimulator, energy efficiency, charging efficiency, power efficiency, pulse duration, square waveform, battery life
MeSH terms: Algorithms, Animals, Axons, Cats, Computer Simulation, Electric Stimulation, Electrophysiology, Nerve Fibers, Nerve Fibers, Myelinated, Sciatic Nerve, Models, Statistical

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Efficiency Analysis of Waveform Shape for Electrical Excitation of Nerve Fibers

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