Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption

Abstract Background Epiretinal prosthesis is one device for the treatment of blindness, which target retinal ganglion cells (RGCs) by electrodes on retinal surface. The stimulating current of epiretinal prosthesis is an important factor that influences the safety threshold and visual perception. Sto...

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Main Authors: Jing Wu, Menghua Jin, Qingli Qiao
Format: Article
Language:English
Published: BMC 2017-03-01
Series:BioMedical Engineering OnLine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12938-017-0333-z
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spelling doaj-447357d7d7e746fbbbe99e2936d0112a2020-11-25T00:42:44ZengBMCBioMedical Engineering OnLine1475-925X2017-03-0116111410.1186/s12938-017-0333-zModeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumptionJing Wu0Menghua Jin1Qingli Qiao2School of Biomedical Engineering & Technology, Tianjin Medical UniversitySchool of Biomedical Engineering & Technology, Tianjin Medical UniversitySchool of Biomedical Engineering & Technology, Tianjin Medical UniversityAbstract Background Epiretinal prosthesis is one device for the treatment of blindness, which target retinal ganglion cells (RGCs) by electrodes on retinal surface. The stimulating current of epiretinal prosthesis is an important factor that influences the safety threshold and visual perception. Stochastic resonance (SR) can be used to enhance the detection and transmission of subthreshold stimuli in neurons. Here, it was assumed that SR was a potential way to improve the performance of epiretinal prosthesis. The effect of noises on the response of RGCs to electrical stimulation and the energy of stimulating current was studied based on a RGC model. Methods The RGC was modeled as a multi-compartment model consisting of dendrites and its branches, soma and axon. To evoke SR, a subthreshold signal, a series of bipolar rectangular pulse sequences, plus stochastic biphasic pulse sequences as noises, were used as a stimulus to the model. The SR-type behavior in the model was characterized by a “power norm” measure. To decrease energy consumption of the stimulation waveform, the stochastic biphasic pulse sequences were only added to the cathode and anode phase of the subthreshold pulse and the noise parameters were optimized by using a genetic algorithm (GA). Results When certain intensity of noise is added to the subthreshold signal, RGC model can fire. With the noise’s RMS amplitudes increased, more spikes were elicited and the curve of power norm presents the inverted U-like graph. The larger pulse width of stochastic biphasic pulse sequences resulted in higher power norm. The energy consumption and charges of the single bipolar rectangular pulse without noise in threshold level are 468.18 pJ, 15.30 nC, and after adding optimized parameters’s noise to the subthreshold signal, they became 314.8174 pJ, 11.9281 nC and were reduced by 32.8 and 22.0%, respectively. Conclusions The SR exists in the RGC model and can enhance the representation of RGC model to the subthreshold signal. Adding the stochastic biphasic pulse sequences to the cathode and anode phase of the subthreshold signal helps to reduce stimulation threshold, energy consumption and charge of RGC stimulation. These may be helpful for improving the performance of epiretinal prosthesis.http://link.springer.com/article/10.1186/s12938-017-0333-zThe RGC modelStimulation thresholdsEnergy consumptionSubthreshold signalStochastic biphasic pulse sequencesEpiretinal prosthesis
collection DOAJ
language English
format Article
sources DOAJ
author Jing Wu
Menghua Jin
Qingli Qiao
spellingShingle Jing Wu
Menghua Jin
Qingli Qiao
Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
BioMedical Engineering OnLine
The RGC model
Stimulation thresholds
Energy consumption
Subthreshold signal
Stochastic biphasic pulse sequences
Epiretinal prosthesis
author_facet Jing Wu
Menghua Jin
Qingli Qiao
author_sort Jing Wu
title Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_short Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_full Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_fullStr Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_full_unstemmed Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_sort modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
publisher BMC
series BioMedical Engineering OnLine
issn 1475-925X
publishDate 2017-03-01
description Abstract Background Epiretinal prosthesis is one device for the treatment of blindness, which target retinal ganglion cells (RGCs) by electrodes on retinal surface. The stimulating current of epiretinal prosthesis is an important factor that influences the safety threshold and visual perception. Stochastic resonance (SR) can be used to enhance the detection and transmission of subthreshold stimuli in neurons. Here, it was assumed that SR was a potential way to improve the performance of epiretinal prosthesis. The effect of noises on the response of RGCs to electrical stimulation and the energy of stimulating current was studied based on a RGC model. Methods The RGC was modeled as a multi-compartment model consisting of dendrites and its branches, soma and axon. To evoke SR, a subthreshold signal, a series of bipolar rectangular pulse sequences, plus stochastic biphasic pulse sequences as noises, were used as a stimulus to the model. The SR-type behavior in the model was characterized by a “power norm” measure. To decrease energy consumption of the stimulation waveform, the stochastic biphasic pulse sequences were only added to the cathode and anode phase of the subthreshold pulse and the noise parameters were optimized by using a genetic algorithm (GA). Results When certain intensity of noise is added to the subthreshold signal, RGC model can fire. With the noise’s RMS amplitudes increased, more spikes were elicited and the curve of power norm presents the inverted U-like graph. The larger pulse width of stochastic biphasic pulse sequences resulted in higher power norm. The energy consumption and charges of the single bipolar rectangular pulse without noise in threshold level are 468.18 pJ, 15.30 nC, and after adding optimized parameters’s noise to the subthreshold signal, they became 314.8174 pJ, 11.9281 nC and were reduced by 32.8 and 22.0%, respectively. Conclusions The SR exists in the RGC model and can enhance the representation of RGC model to the subthreshold signal. Adding the stochastic biphasic pulse sequences to the cathode and anode phase of the subthreshold signal helps to reduce stimulation threshold, energy consumption and charge of RGC stimulation. These may be helpful for improving the performance of epiretinal prosthesis.
topic The RGC model
Stimulation thresholds
Energy consumption
Subthreshold signal
Stochastic biphasic pulse sequences
Epiretinal prosthesis
url http://link.springer.com/article/10.1186/s12938-017-0333-z
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AT qingliqiao modelingelectricalstimulationofretinalganglioncellwithoptimizingadditivenoisesforreducingthresholdandenergyconsumption
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