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Energy Efficient Neural Stimulation: Coupling Circuit Design and Membrane Biophysics

Overview of attention for article published in PLOS ONE, December 2012
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Title
Energy Efficient Neural Stimulation: Coupling Circuit Design and Membrane Biophysics
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051901
Pubmed ID
Authors

Thomas J. Foutz, D. Michael Ackermann, Kevin L. Kilgore, Cameron C. McIntyre

Abstract

The delivery of therapeutic levels of electrical current to neural tissue is a well-established treatment for numerous indications such as Parkinson's disease and chronic pain. While the neuromodulation medical device industry has experienced steady clinical growth over the last two decades, much of the core technology underlying implanted pulse generators remain unchanged. In this study we propose some new methods for achieving increased energy-efficiency during neural stimulation. The first method exploits the biophysical features of excitable tissue through the use of a centered-triangular stimulation waveform. Neural activation with this waveform is achieved with a statistically significant reduction in energy compared to traditional rectangular waveforms. The second method demonstrates energy savings that could be achieved by advanced circuitry design. We show that the traditional practice of using a fixed compliance voltage for constant-current stimulation results in substantial energy loss. A portion of this energy can be recuperated by adjusting the compliance voltage to real-time requirements. Lastly, we demonstrate the potential impact of axon fiber diameter on defining the energy-optimal pulse-width for stimulation. When designing implantable pulse generators for energy efficiency, we propose that the future combination of a variable compliance system, a centered-triangular stimulus waveform, and an axon diameter specific stimulation pulse-width has great potential to reduce energy consumption and prolong battery life in neuromodulation devices.

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The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Turkey 1 1%
Belgium 1 1%
Unknown 79 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 25%
Student > Ph. D. Student 18 21%
Student > Master 10 12%
Student > Bachelor 8 10%
Other 6 7%
Other 10 12%
Unknown 11 13%
Readers by discipline Count As %
Engineering 37 44%
Neuroscience 8 10%
Medicine and Dentistry 8 10%
Agricultural and Biological Sciences 7 8%
Physics and Astronomy 3 4%
Other 9 11%
Unknown 12 14%