Stimulation Efficiency With Decaying Exponential Waveforms in a Wirelessly Powered Switched-Capacitor Discharge Stimulation System.
Abstract
The purpose of this study was to test the feasibility of using a switched-capacitor
discharge stimulation (SCDS) system for electrical stimulation, and, subsequently,
determine the overall energy saved compared to a conventional stimulator. We have
constructed a computational model by pairing an image-based volume conductor model
of the cat head with cable models of corticospinal tract (CST) axons and quantified
the theoretical stimulation efficiency of rectangular and decaying exponential waveforms,
produced by conventional and SCDS systems, respectively. Subsequently, the model predictions
were tested in vivo by activating axons in the posterior internal capsule and recording
evoked electromyography (EMG) in the contralateral upper arm muscles. Compared to
rectangular waveforms, decaying exponential waveforms with time constants >500 μs
were predicted to require 2%-4% less stimulus energy to activate directly models of
CST axons and 0.4%-2% less stimulus energy to evoke EMG activity in vivo. Using the
calculated wireless input energy of the stimulation system and the measured stimulus
energies required to evoke EMG activity, we predict that an SCDS implantable pulse
generator (IPG) will require 40% less input energy than a conventional IPG to activate
target neural elements. A wireless SCDS IPG that is more energy efficient than a conventional
IPG will reduce the size of an implant, require that less wireless energy be transmitted
through the skin, and extend the lifetime of the battery in the external power transmitter.
Type
Journal articleSubject
HeadMuscle, Skeletal
Brain
Forelimb
Animals
Cats
Electromyography
Deep Brain Stimulation
Equipment Design
Electrodes, Implanted
Models, Neurological
Signal Processing, Computer-Assisted
Male
Wireless Technology
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https://hdl.handle.net/10161/23849Published Version (Please cite this version)
10.1109/tbme.2017.2741107Publication Info
Lee, Hyung-Min; Howell, Bryan; Grill, Warren M; & Ghovanloo, Maysam (2018). Stimulation Efficiency With Decaying Exponential Waveforms in a Wirelessly Powered
Switched-Capacitor Discharge Stimulation System. IEEE transactions on bio-medical engineering, 65(5). pp. 1095-1106. 10.1109/tbme.2017.2741107. Retrieved from https://hdl.handle.net/10161/23849.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Warren M. Grill
Edmund T. Pratt, Jr. School Distinguished Professor of Biomedical Engineering
Our research employs engineering approaches to understand and control neural function.
We work on fundamental questions and applied development in electrical stimulation
of the nervous system to restore function to individuals with neurological impairment
or injury.
Current projects include:• understanding the mechanisms of and developing advanced
approaches to deep brain stimulation to treat movement disorders, • developing
novel approaches to peripheral nerve e
Bryan Howell
Assistant Research Professor in the Department of Biomedical Engineering
My lab studies implantable and wearable devices for treating neurological impairment,
namely with deep brain stimulation (DBS) and transcranial electrical stimulation (tES).
Projects evolve through theoretical and preclinical stages of development, combining
biophysical and dynamic causal modeling, medical imaging, and device prototyping,
to test new concepts and strategies for these neurotechnologies. Noninvasive studies
on tES are conducted in tissue phantoms and healthy human subjects in-hous
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