Literature DB >> 17873425

Non-rectangular waveforms for neural stimulation with practical electrodes.

Mesut Sahin1, Yanmei Tie.   

Abstract

Historically the rectangular pulse waveform has been the choice for neural stimulation. The strength-duration curve is thus defined for rectangular pulses. Not much attention has been paid to alternative waveforms to determine if the pulse shape has an effect on the strength-duration relation. Similarly the charge injection capacity of neural electrodes has also been measured with rectangular pulses. In this study we questioned if non-rectangular waveforms can generate a stronger stimulation effect, when applied through practical electrodes, by minimizing the neural activation threshold and maximizing the charge injection capacity of the electrode. First, the activation threshold parameters were studied with seven different pulse shapes using computer simulations of a local membrane model. These waveforms were rectangular, linear increase and decrease, exponential increase and decrease, Gaussian, and sinusoidal. The chronaxie time was found to be longer with all the non-rectangular pulses and some provided more energy efficient stimulation than the rectangular waveform. Second, the charge injection capacity of titanium nitride microelectrodes was measured experimentally for the same waveforms. Linearly decreasing ramp provided the best charge injection for all pulse widths tested from 0.02 to 0.5 ms. Finally, the most efficient waveform that maximized the charge injection capacity of the electrode while providing the lowest threshold charge for neural activation was searched. Linear and exponential decrease, and Gaussian waveforms were found to be the most efficient pulse shapes.

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Year:  2007        PMID: 17873425      PMCID: PMC3759998          DOI: 10.1088/1741-2560/4/3/008

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  18 in total

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Authors:  F Rattay; M Aberham
Journal:  IEEE Trans Biomed Eng       Date:  1993-12       Impact factor: 4.538

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Authors:  James D Weiland; David J Anderson; Mark S Humayun
Journal:  IEEE Trans Biomed Eng       Date:  2002-12       Impact factor: 4.538

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Authors:  H A Blair
Journal:  J Gen Physiol       Date:  1932-07-20       Impact factor: 4.086

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Authors:  H A Blair
Journal:  J Gen Physiol       Date:  1932-07-20       Impact factor: 4.086

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  32 in total

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3.  Optogenetic versus Electrical Stimulation of Human Cardiomyocytes: Modeling Insights.

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4.  Numerical optimization of coordinated reset stimulation for desynchronizing neuronal network dynamics.

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5.  Genetic algorithm reveals energy-efficient waveforms for neural stimulation.

Authors:  Amorn Wongsarnpigoon; Warren M Grill
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

6.  Design and in vivo evaluation of more efficient and selective deep brain stimulation electrodes.

Authors:  Bryan Howell; Brian Huynh; Warren M Grill
Journal:  J Neural Eng       Date:  2015-07-14       Impact factor: 5.379

Review 7.  Wireless microstimulators for neural prosthetics.

Authors:  Mesut Sahin; Victor Pikov
Journal:  Crit Rev Biomed Eng       Date:  2011

8.  Efficiency analysis of waveform shape for electrical excitation of nerve fibers.

Authors:  Amorn Wongsarnpigoon; John P Woock; Warren M Grill
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-04-12       Impact factor: 3.802

9.  A Fully-Implantable Cochlear Implant SoC with Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation.

Authors:  Marcus Yip; Rui Jin; Hideko Heidi Nakajima; Konstantina M Stankovic; Anantha P Chandrakasan
Journal:  IEEE J Solid-State Circuits       Date:  2015-01-01       Impact factor: 5.013

10.  The influence of reactivity of the electrode-brain interface on the crossing electric current in therapeutic deep brain stimulation.

Authors:  N Yousif; R Bayford; X Liu
Journal:  Neuroscience       Date:  2008-08-03       Impact factor: 3.590

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