2020
DOI: 10.1109/tnsre.2019.2954004
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An Investigation of Neural Stimulation Efficiency With Gaussian Waveforms

Abstract: An Investigation of Neural Stimulation Efficiency With Gaussian Waveformshttp://researchonline.ljmu.ac.uk/id/eprint/12166/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Abstract-Objective:Previous computational studies predict that Gaussian shaped waveforms use the least energy to activate nerves. The primary goal of this study was to examine the claimed potential of up to 60% energy savings with these waveforms over a range of phase… Show more

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Cited by 11 publications
(9 citation statements)
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“…Although the maximal feasible pulse rate depends on safety considerations [14,15], the fatigue resistance of the stimulation target structure is more likely to be the limiting factor. Even with the low pulse rate of one stimulation every 3 seconds that we used in the terminal rat electrophysiology experiments to minimize neuromuscular fatigue [16,17], a 200-pulse calibration phase would only require 10 minutes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Although the maximal feasible pulse rate depends on safety considerations [14,15], the fatigue resistance of the stimulation target structure is more likely to be the limiting factor. Even with the low pulse rate of one stimulation every 3 seconds that we used in the terminal rat electrophysiology experiments to minimize neuromuscular fatigue [16,17], a 200-pulse calibration phase would only require 10 minutes.…”
Section: Discussionmentioning
confidence: 99%
“…Experiments were conducted in 11 adult Wistar rats under adherence to the Animals (Scientific Procedures) Act of 1986 and approval by the Home Office under the project licence (PPL 40/3743) and are described in detail in [16,17]. This study was approved by the Liverpool John Moores University Research Ethics Committee.…”
Section: Surgical Procedures and Electrode Placementmentioning
confidence: 99%
“…The current flows in the TnM only during a limited time interval within the PD, provides the current I with a Gaussian waveform (Fig. 7), which is an energy-optimal waveform [44]- [45]. The figure also shows VA, which is controlled by the feedback network, increasing smoothly.…”
Section: B Simulated Performancementioning
confidence: 96%
“…However, the highly nonlinear neural response has been a challenge that classic optimization methods have difficulties dealing with. Many studies simply evaluate and compare candidate waveforms defined a priori based on heuristics, such as (multiphasic) rectangular, triangular, rising and falling ramp or exponential, Gaussian, and sinusoidal pulse shapes [72][73][74][75][76][77][78]. Classic optimization methods, such as gradient decent [79] or calculus of variations and the related principle of least action [80][81][82], have only been applied to single-or two-compartment neuron and straight axon models.…”
Section: Comparison With Other Optimization Approachesmentioning
confidence: 99%