Simulation of epiretinal prostheses - Evaluation of geometrical factors affecting stimulation thresholds
Background An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal...
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Published in | Journal of neuroengineering and rehabilitation Vol. 8; no. 1; p. 44 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central
19.08.2011
BioMed Central Ltd BMC |
Subjects | |
Online Access | Get full text |
ISSN | 1743-0003 1743-0003 |
DOI | 10.1186/1743-0003-8-44 |
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Abstract | Background
An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal ganglion cell (RGC) activation using passive or/and active biophysical models of the retina. These models have limited scope for studying an implanted human retinal prosthesis as they often do not account for real geometry and composition of the prosthesis-retina interface. This interface consists of real dimensions and location of stimulation and ground electrodes that are separated by the retinal tissue and surrounded by physiological fluids.
Methods
In this study, we combined the prosthesis-retina interface elements into a framework to evaluate the geometrical factors affecting stimulation thresholds for epiretinal prostheses used in clinical human trials, as described by Balthasar
et al
. in their Investigative Ophthalmology and Visual Science (IOVS) paper published in 2008 using the Argus I epiretinal implants. Finite element method (FEM) based computations were used to estimate threshold currents based on a threshold criterion employing a passive electric model of the retina.
Results
Threshold currents and impedances were estimated for different electrode-retina distances. The profiles and the values for thresholds and impedances obtained from our simulation framework are within the range of measured values in the only elaborate published clinical trial until now using Argus I epiretinal implants. An estimation of resolution for the electrodes used in these trials was provided. Our results reiterate the importance of close proximity between electrodes and retina for safe and efficient retinal stimulation.
Conclusions
The validation of our simulation framework being relevant for epiretinal prosthesis research is derived from the good agreement of the computed trends and values of the current study with measurements demonstrated in existing clinical trials on humans (Argus I). The proposed simulation framework could be used to generate the relationship between threshold and impedance for any electrode geometry and consequently be an effective tool for design engineers, surgeons and electrophysiologists. |
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AbstractList | An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal ganglion cell (RGC) activation using passive or/and active biophysical models of the retina. These models have limited scope for studying an implanted human retinal prosthesis as they often do not account for real geometry and composition of the prosthesis-retina interface. This interface consists of real dimensions and location of stimulation and ground electrodes that are separated by the retinal tissue and surrounded by physiological fluids.BACKGROUNDAn accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal ganglion cell (RGC) activation using passive or/and active biophysical models of the retina. These models have limited scope for studying an implanted human retinal prosthesis as they often do not account for real geometry and composition of the prosthesis-retina interface. This interface consists of real dimensions and location of stimulation and ground electrodes that are separated by the retinal tissue and surrounded by physiological fluids.In this study, we combined the prosthesis-retina interface elements into a framework to evaluate the geometrical factors affecting stimulation thresholds for epiretinal prostheses used in clinical human trials, as described by Balthasar et al. in their Investigative Ophthalmology and Visual Science (IOVS) paper published in 2008 using the Argus I epiretinal implants. Finite element method (FEM) based computations were used to estimate threshold currents based on a threshold criterion employing a passive electric model of the retina.METHODSIn this study, we combined the prosthesis-retina interface elements into a framework to evaluate the geometrical factors affecting stimulation thresholds for epiretinal prostheses used in clinical human trials, as described by Balthasar et al. in their Investigative Ophthalmology and Visual Science (IOVS) paper published in 2008 using the Argus I epiretinal implants. Finite element method (FEM) based computations were used to estimate threshold currents based on a threshold criterion employing a passive electric model of the retina.Threshold currents and impedances were estimated for different electrode-retina distances. The profiles and the values for thresholds and impedances obtained from our simulation framework are within the range of measured values in the only elaborate published clinical trial until now using Argus I epiretinal implants. An estimation of resolution for the electrodes used in these trials was provided. Our results reiterate the importance of close proximity between electrodes and retina for safe and efficient retinal stimulation.RESULTSThreshold currents and impedances were estimated for different electrode-retina distances. The profiles and the values for thresholds and impedances obtained from our simulation framework are within the range of measured values in the only elaborate published clinical trial until now using Argus I epiretinal implants. An estimation of resolution for the electrodes used in these trials was provided. Our results reiterate the importance of close proximity between electrodes and retina for safe and efficient retinal stimulation.The validation of our simulation framework being relevant for epiretinal prosthesis research is derived from the good agreement of the computed trends and values of the current study with measurements demonstrated in existing clinical trials on humans (Argus I). The proposed simulation framework could be used to generate the relationship between threshold and impedance for any electrode geometry and consequently be an effective tool for design engineers, surgeons and electrophysiologists.CONCLUSIONSThe validation of our simulation framework being relevant for epiretinal prosthesis research is derived from the good agreement of the computed trends and values of the current study with measurements demonstrated in existing clinical trials on humans (Argus I). The proposed simulation framework could be used to generate the relationship between threshold and impedance for any electrode geometry and consequently be an effective tool for design engineers, surgeons and electrophysiologists. An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal ganglion cell (RGC) activation using passive or/and active biophysical models of the retina. These models have limited scope for studying an implanted human retinal prosthesis as they often do not account for real geometry and composition of the prosthesis-retina interface. This interface consists of real dimensions and location of stimulation and ground electrodes that are separated by the retinal tissue and surrounded by physiological fluids. In this study, we combined the prosthesis-retina interface elements into a framework to evaluate the geometrical factors affecting stimulation thresholds for epiretinal prostheses used in clinical human trials, as described by Balthasar et al. in their Investigative Ophthalmology and Visual Science (IOVS) paper published in 2008 using the Argus I epiretinal implants. Finite element method (FEM) based computations were used to estimate threshold currents based on a threshold criterion employing a passive electric model of the retina. Threshold currents and impedances were estimated for different electrode-retina distances. The profiles and the values for thresholds and impedances obtained from our simulation framework are within the range of measured values in the only elaborate published clinical trial until now using Argus I epiretinal implants. An estimation of resolution for the electrodes used in these trials was provided. Our results reiterate the importance of close proximity between electrodes and retina for safe and efficient retinal stimulation. The validation of our simulation framework being relevant for epiretinal prosthesis research is derived from the good agreement of the computed trends and values of the current study with measurements demonstrated in existing clinical trials on humans (Argus I). The proposed simulation framework could be used to generate the relationship between threshold and impedance for any electrode geometry and consequently be an effective tool for design engineers, surgeons and electrophysiologists. An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal ganglion cell (RGC) activation using passive or/and active biophysical models of the retina. These models have limited scope for studying an implanted human retinal prosthesis as they often do not account for real geometry and composition of the prosthesis-retina interface. This interface consists of real dimensions and location of stimulation and ground electrodes that are separated by the retinal tissue and surrounded by physiological fluids. In this study, we combined the prosthesis-retina interface elements into a framework to evaluate the geometrical factors affecting stimulation thresholds for epiretinal prostheses used in clinical human trials, as described by Balthasar et al. in their Investigative Ophthalmology and Visual Science (IOVS) paper published in 2008 using the Argus I epiretinal implants. Finite element method (FEM) based computations were used to estimate threshold currents based on a threshold criterion employing a passive electric model of the retina. Threshold currents and impedances were estimated for different electrode-retina distances. The profiles and the values for thresholds and impedances obtained from our simulation framework are within the range of measured values in the only elaborate published clinical trial until now using Argus I epiretinal implants. An estimation of resolution for the electrodes used in these trials was provided. Our results reiterate the importance of close proximity between electrodes and retina for safe and efficient retinal stimulation. The validation of our simulation framework being relevant for epiretinal prosthesis research is derived from the good agreement of the computed trends and values of the current study with measurements demonstrated in existing clinical trials on humans (Argus I). The proposed simulation framework could be used to generate the relationship between threshold and impedance for any electrode geometry and consequently be an effective tool for design engineers, surgeons and electrophysiologists. Background An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal ganglion cell (RGC) activation using passive or/and active biophysical models of the retina. These models have limited scope for studying an implanted human retinal prosthesis as they often do not account for real geometry and composition of the prosthesis-retina interface. This interface consists of real dimensions and location of stimulation and ground electrodes that are separated by the retinal tissue and surrounded by physiological fluids. Methods In this study, we combined the prosthesis-retina interface elements into a framework to evaluate the geometrical factors affecting stimulation thresholds for epiretinal prostheses used in clinical human trials, as described by Balthasar et al . in their Investigative Ophthalmology and Visual Science (IOVS) paper published in 2008 using the Argus I epiretinal implants. Finite element method (FEM) based computations were used to estimate threshold currents based on a threshold criterion employing a passive electric model of the retina. Results Threshold currents and impedances were estimated for different electrode-retina distances. The profiles and the values for thresholds and impedances obtained from our simulation framework are within the range of measured values in the only elaborate published clinical trial until now using Argus I epiretinal implants. An estimation of resolution for the electrodes used in these trials was provided. Our results reiterate the importance of close proximity between electrodes and retina for safe and efficient retinal stimulation. Conclusions The validation of our simulation framework being relevant for epiretinal prosthesis research is derived from the good agreement of the computed trends and values of the current study with measurements demonstrated in existing clinical trials on humans (Argus I). The proposed simulation framework could be used to generate the relationship between threshold and impedance for any electrode geometry and consequently be an effective tool for design engineers, surgeons and electrophysiologists. Abstract Background: An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal ganglion cell (RGC) activation using passive or/and active biophysical models of the retina. These models have limited scope for studying an implanted human retinal prosthesis as they often do not account for real geometry and composition of the prosthesis-retina interface. This interface consists of real dimensions and location of stimulation and ground electrodes that are separated by the retinal tissue and surrounded by physiological fluids. Methods: In this study, we combined the prosthesis-retina interface elements into a framework to evaluate the geometrical factors affecting stimulation thresholds for epiretinal prostheses used in clinical human trials, as described by Balthasar et al . in their Investigative Ophthalmology and Visual Science (IOVS) paper published in 2008 using the Argus I epiretinal implants. Finite element method (FEM) based computations were used to estimate threshold currents based on a threshold criterion employing a passive electric model of the retina. Results: Threshold currents and impedances were estimated for different electrode-retina distances. The profiles and the values for thresholds and impedances obtained from our simulation framework are within the range of measured values in the only elaborate published clinical trial until now using Argus I epiretinal implants. An estimation of resolution for the electrodes used in these trials was provided. Our results reiterate the importance of close proximity between electrodes and retina for safe and efficient retinal stimulation. Conclusions: The validation of our simulation framework being relevant for epiretinal prosthesis research is derived from the good agreement of the computed trends and values of the current study with measurements demonstrated in existing clinical trials on humans (Argus I). The proposed simulation framework could be used to generate the relationship between threshold and impedance for any electrode geometry and consequently be an effective tool for design engineers, surgeons and electrophysiologists. Background An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous studies have used modelling approaches to simulate electric fields generated by epiretinal prostheses in saline and to simulate retinal ganglion cell (RGC) activation using passive or/and active biophysical models of the retina. These models have limited scope for studying an implanted human retinal prosthesis as they often do not account for real geometry and composition of the prosthesis-retina interface. This interface consists of real dimensions and location of stimulation and ground electrodes that are separated by the retinal tissue and surrounded by physiological fluids. Methods In this study, we combined the prosthesis-retina interface elements into a framework to evaluate the geometrical factors affecting stimulation thresholds for epiretinal prostheses used in clinical human trials, as described by Balthasar et al. in their Investigative Ophthalmology and Visual Science (IOVS) paper published in 2008 using the Argus I epiretinal implants. Finite element method (FEM) based computations were used to estimate threshold currents based on a threshold criterion employing a passive electric model of the retina. Results Threshold currents and impedances were estimated for different electrode-retina distances. The profiles and the values for thresholds and impedances obtained from our simulation framework are within the range of measured values in the only elaborate published clinical trial until now using Argus I epiretinal implants. An estimation of resolution for the electrodes used in these trials was provided. Our results reiterate the importance of close proximity between electrodes and retina for safe and efficient retinal stimulation. Conclusions The validation of our simulation framework being relevant for epiretinal prosthesis research is derived from the good agreement of the computed trends and values of the current study with measurements demonstrated in existing clinical trials on humans (Argus I). The proposed simulation framework could be used to generate the relationship between threshold and impedance for any electrode geometry and consequently be an effective tool for design engineers, surgeons and electrophysiologists. |
Audience | Academic |
Author | Hasenkamp, Willyan Bertsch, Arnaud Kasi, Harsha Renaud, Philippe Cosendai, Gregoire |
AuthorAffiliation | 2 Second Sight® Medical Products, Inc., Sylmar, CA 91342, USA 1 Microsystems Laboratory (LMIS4), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland |
AuthorAffiliation_xml | – name: 2 Second Sight® Medical Products, Inc., Sylmar, CA 91342, USA – name: 1 Microsystems Laboratory (LMIS4), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland |
Author_xml | – sequence: 1 givenname: Harsha surname: Kasi fullname: Kasi, Harsha email: harsha.kasi@epfl.ch organization: Microsystems Laboratory (LMIS4), Ecole Polytechnique Fédérale de Lausanne (EPFL) – sequence: 2 givenname: Willyan surname: Hasenkamp fullname: Hasenkamp, Willyan organization: Microsystems Laboratory (LMIS4), Ecole Polytechnique Fédérale de Lausanne (EPFL) – sequence: 3 givenname: Gregoire surname: Cosendai fullname: Cosendai, Gregoire organization: Second Sight Medical Products, Inc – sequence: 4 givenname: Arnaud surname: Bertsch fullname: Bertsch, Arnaud organization: Microsystems Laboratory (LMIS4), Ecole Polytechnique Fédérale de Lausanne (EPFL) – sequence: 5 givenname: Philippe surname: Renaud fullname: Renaud, Philippe organization: Microsystems Laboratory (LMIS4), Ecole Polytechnique Fédérale de Lausanne (EPFL) |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21854602$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1109/10.759051 10.1016/j.jneumeth.2004.10.020 10.1109/TNSRE.2006.870488 10.1016/0042-6989(85)90214-7 10.1152/jn.00545.2009 10.1167/iovs.02-1041 10.1167/iovs.10-5282 10.1016/j.jneumeth.2009.01.019 10.1167/iovs.04-1018 10.1088/1741-2560/2/1/012 10.1088/1741-2560/2/1/010 10.1109/7333.918281 10.1590/S0004-27492006000400015 10.1007/BF02476917 10.1088/1741-2560/4/1/S03 10.1007/BF02667796 10.1109/TNSRE.2005.848687 10.1016/0006-8993(90)91388-W 10.1097/00003446-200112000-00004 10.1088/1741-2560/4/1/S09 10.1016/S0042-6989(03)00457-7 10.1152/jn.91081.2008 10.1109/10.61038 10.1152/jn.00343.2010 10.1068/p6100 10.1152/jn.01168.2005 10.1167/iovs.07-0696 10.1016/j.biomaterials.2003.09.107 |
ContentType | Journal Article |
Copyright | Kasi et al; licensee BioMed Central Ltd. 2011 COPYRIGHT 2011 BioMed Central Ltd. 2011 Kasi et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright ©2011 Kasi et al; licensee BioMed Central Ltd. 2011 Kasi et al; licensee BioMed Central Ltd. |
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Keywords | Retinal Ganglion Cell Simulation Framework Threshold Current Electrode Geometry Electrode Size |
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PublicationPlace | London |
PublicationPlace_xml | – name: London – name: England |
PublicationTitle | Journal of neuroengineering and rehabilitation |
PublicationTitleAbbrev | J NeuroEngineering Rehabil |
PublicationTitleAlternate | J Neuroeng Rehabil |
PublicationYear | 2011 |
Publisher | BioMed Central BioMed Central Ltd BMC |
Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: BMC |
References | 10.1186/1743-0003-8-44-B13 10.1186/1743-0003-8-44-B35 10.1186/1743-0003-8-44-B14 10.1186/1743-0003-8-44-B36 10.1186/1743-0003-8-44-B15 10.1186/1743-0003-8-44-B16 10.1186/1743-0003-8-44-B38 10.1186/1743-0003-8-44-B17 10.1186/1743-0003-8-44-B39 10.1186/1743-0003-8-44-B18 10.1186/1743-0003-8-44-B31 10.1186/1743-0003-8-44-B32 10.1186/1743-0003-8-44-B11 10.1186/1743-0003-8-44-B33 10.1186/1743-0003-8-44-B34 10.1186/1743-0003-8-44-B26 10.1186/1743-0003-8-44-B27 10.1186/1743-0003-8-44-B28 - 10.1186/1743-0003-8-44-B29 10.1186/1743-0003-8-44-B40 10.1186/1743-0003-8-44-B20 10.1186/1743-0003-8-44-B22 10.1186/1743-0003-8-44-B7 10.1186/1743-0003-8-44-B5 10.1186/1743-0003-8-44-B1 19428523 - J Neurosci Methods. 2009 May 15;179(2):166-72 15876658 - J Neural Eng. 2005 Mar;2(1):S74-90 18714839 - IEEE Trans Biomed Eng. 2008 Jun;55(6):1744-53 19741103 - J Neurophysiol. 2009 Nov;102(5):2982-93 4090272 - Vision Res. 1985;25(10):1365-73 21095947 - Conf Proc IEEE Eng Med Biol Soc. 2010;2010:2077-80 11482368 - IEEE Trans Neural Syst Rehabil Eng. 2001 Mar;9(1):86-95 18515576 - Invest Ophthalmol Vis Sci. 2008 Jun;49(6):2303-14 19065857 - Perception. 2008;37(10):1529-59 851475 - IEEE Trans Biomed Eng. 1977 Jan;24(1):59-63 2276759 - IEEE Trans Biomed Eng. 1990 Nov;37(11):1118-20 17325412 - J Neural Eng. 2007 Mar;4(1):S17-23 15790920 - Invest Ophthalmol Vis Sci. 2005 Apr;46(4):1486-96 15020157 - Biomaterials. 2004 Aug;25(17):3813-28 19193771 - J Neurophysiol. 2009 Apr;101(4):1972-87 20720224 - Invest Ophthalmol Vis Sci. 2011 Jan;52(1):549-57 2331606 - Brain Res. 1990 Mar 5;510(2):343-5 13129543 - Vision Res. 2003 Nov;43(24):2573-81 12882804 - Invest Ophthalmol Vis Sci. 2003 Aug;44(8):3533-43 21354850 - Med Eng Phys. 2011 Jul;33(6):755-63 16003900 - IEEE Trans Neural Syst Rehabil Eng. 2005 Jun;13(2):201-6 16436479 - J Neurophysiol. 2006 Jun;95(6):3311-27 16562626 - IEEE Trans Neural Syst Rehabil Eng. 2006 Mar;14(1):5-13 19660665 - Prog Brain Res. 2009;175:317-32 11770670 - Ear Hear. 2001 Dec;22(6):471-86 15078664 - Arch Ophthalmol. 2004 Apr;122(4):477-85 17119727 - Arq Bras Oftalmol. 2006 Jul-Aug;69(4):539-44 10230129 - IEEE Trans Biomed Eng. 1999 May;46(5):505-14 15876646 - J Neural Eng. 2005 Mar;2(1):S105-20 19098313 - Invest Ophthalmol Vis Sci. 2009 Apr;50(4):1483-91 15661300 - J Neurosci Methods. 2005 Feb 15;141(2):171-98 16236780 - J Neurophysiol. 2006 Feb;95(2):970-8 5582145 - Bull Math Biophys. 1967 Dec;29(4):657-64 17325419 - J Neural Eng. 2007 Mar;4(1):S72-84 20702740 - J Neurophysiol. 2010 Oct;104(4):2236-48 |
References_xml | – ident: 10.1186/1743-0003-8-44-B33 doi: 10.1109/10.759051 – ident: 10.1186/1743-0003-8-44-B38 doi: 10.1016/j.jneumeth.2004.10.020 – ident: 10.1186/1743-0003-8-44-B29 doi: 10.1109/TNSRE.2006.870488 – ident: 10.1186/1743-0003-8-44-B22 doi: 10.1016/0042-6989(85)90214-7 – ident: 10.1186/1743-0003-8-44-B34 doi: 10.1152/jn.00545.2009 – ident: 10.1186/1743-0003-8-44-B14 doi: 10.1167/iovs.02-1041 – ident: 10.1186/1743-0003-8-44-B11 doi: 10.1167/iovs.10-5282 – ident: 10.1186/1743-0003-8-44-B27 doi: 10.1016/j.jneumeth.2009.01.019 – ident: 10.1186/1743-0003-8-44-B32 doi: 10.1167/iovs.04-1018 – ident: 10.1186/1743-0003-8-44-B15 doi: 10.1088/1741-2560/2/1/012 – ident: 10.1186/1743-0003-8-44-B7 doi: 10.1088/1741-2560/2/1/010 – ident: - doi: 10.1109/7333.918281 – ident: 10.1186/1743-0003-8-44-B26 doi: 10.1590/S0004-27492006000400015 – ident: 10.1186/1743-0003-8-44-B35 doi: 10.1007/BF02476917 – ident: 10.1186/1743-0003-8-44-B18 doi: 10.1088/1741-2560/4/1/S03 – ident: - doi: 10.1007/BF02667796 – ident: - doi: 10.1109/TNSRE.2005.848687 – ident: 10.1186/1743-0003-8-44-B31 doi: 10.1016/0006-8993(90)91388-W – ident: 10.1186/1743-0003-8-44-B40 doi: 10.1097/00003446-200112000-00004 – ident: 10.1186/1743-0003-8-44-B5 doi: 10.1088/1741-2560/4/1/S09 – ident: 10.1186/1743-0003-8-44-B17 doi: 10.1016/S0042-6989(03)00457-7 – ident: 10.1186/1743-0003-8-44-B28 doi: 10.1152/jn.91081.2008 – ident: 10.1186/1743-0003-8-44-B36 doi: 10.1109/10.61038 – ident: 10.1186/1743-0003-8-44-B20 doi: 10.1152/jn.00343.2010 – ident: 10.1186/1743-0003-8-44-B1 doi: 10.1068/p6100 – ident: 10.1186/1743-0003-8-44-B16 doi: 10.1152/jn.01168.2005 – ident: 10.1186/1743-0003-8-44-B13 doi: 10.1167/iovs.07-0696 – ident: 10.1186/1743-0003-8-44-B39 doi: 10.1016/j.biomaterials.2003.09.107 – reference: 15078664 - Arch Ophthalmol. 2004 Apr;122(4):477-85 – reference: 17325419 - J Neural Eng. 2007 Mar;4(1):S72-84 – reference: 15661300 - J Neurosci Methods. 2005 Feb 15;141(2):171-98 – reference: 19193771 - J Neurophysiol. 2009 Apr;101(4):1972-87 – reference: 16436479 - J Neurophysiol. 2006 Jun;95(6):3311-27 – reference: 18714839 - IEEE Trans Biomed Eng. 2008 Jun;55(6):1744-53 – reference: 2276759 - IEEE Trans Biomed Eng. 1990 Nov;37(11):1118-20 – reference: 17119727 - Arq Bras Oftalmol. 2006 Jul-Aug;69(4):539-44 – reference: 5582145 - Bull Math Biophys. 1967 Dec;29(4):657-64 – reference: 11482368 - IEEE Trans Neural Syst Rehabil Eng. 2001 Mar;9(1):86-95 – reference: 15876646 - J Neural Eng. 2005 Mar;2(1):S105-20 – reference: 17325412 - J Neural Eng. 2007 Mar;4(1):S17-23 – reference: 15876658 - J Neural Eng. 2005 Mar;2(1):S74-90 – reference: 21354850 - Med Eng Phys. 2011 Jul;33(6):755-63 – reference: 20702740 - J Neurophysiol. 2010 Oct;104(4):2236-48 – reference: 19098313 - Invest Ophthalmol Vis Sci. 2009 Apr;50(4):1483-91 – reference: 19660665 - Prog Brain Res. 2009;175:317-32 – reference: 2331606 - Brain Res. 1990 Mar 5;510(2):343-5 – reference: 15790920 - Invest Ophthalmol Vis Sci. 2005 Apr;46(4):1486-96 – reference: 851475 - IEEE Trans Biomed Eng. 1977 Jan;24(1):59-63 – reference: 20720224 - Invest Ophthalmol Vis Sci. 2011 Jan;52(1):549-57 – reference: 19065857 - Perception. 2008;37(10):1529-59 – reference: 16003900 - IEEE Trans Neural Syst Rehabil Eng. 2005 Jun;13(2):201-6 – reference: 11770670 - Ear Hear. 2001 Dec;22(6):471-86 – reference: 15020157 - Biomaterials. 2004 Aug;25(17):3813-28 – reference: 19428523 - J Neurosci Methods. 2009 May 15;179(2):166-72 – reference: 4090272 - Vision Res. 1985;25(10):1365-73 – reference: 18515576 - Invest Ophthalmol Vis Sci. 2008 Jun;49(6):2303-14 – reference: 16236780 - J Neurophysiol. 2006 Feb;95(2):970-8 – reference: 12882804 - Invest Ophthalmol Vis Sci. 2003 Aug;44(8):3533-43 – reference: 10230129 - IEEE Trans Biomed Eng. 1999 May;46(5):505-14 – reference: 16562626 - IEEE Trans Neural Syst Rehabil Eng. 2006 Mar;14(1):5-13 – reference: 21095947 - Conf Proc IEEE Eng Med Biol Soc. 2010;2010:2077-80 – reference: 13129543 - Vision Res. 2003 Nov;43(24):2573-81 – reference: 19741103 - J Neurophysiol. 2009 Nov;102(5):2982-93 |
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Snippet | Background
An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices.... An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices. Previous... Background An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective devices.... Abstract Background: An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective... Abstract Background An accurate understanding of the electrical interaction between retinal prostheses and retinal tissue is important to design effective... |
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SubjectTerms | Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Design Efficiency Electrodes Electrodes, Implanted Finite Element Analysis Geometry Human subjects Humans Implants, Artificial Microelectrodes Models, Neurological Neurology Neurosciences Physiological aspects Prostheses Prosthesis Prosthesis Design - instrumentation Prosthesis Design - methods Rehabilitation Medicine Retinal ganglion cells Retinal Ganglion Cells - physiology Simulation Studies Visual Prosthesis |
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Title | Simulation of epiretinal prostheses - Evaluation of geometrical factors affecting stimulation thresholds |
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