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dc.contributor.authorFraile Marinero, Juan Carlos 
dc.contributor.authorPérez Turiel, Javier 
dc.contributor.authorMuñoz Martinez, Victor
dc.contributor.authorMüller, Carsten
dc.contributor.authorIhmig, Frank
dc.date.accessioned2022-03-17T09:14:17Z
dc.date.available2022-03-17T09:14:17Z
dc.date.issued2018
dc.identifier.citationSensors, 2018, vol. 18, n. 12, p. 4152es
dc.identifier.issn1424-8220es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/52531
dc.descriptionProducción Científicaes
dc.description.abstractThe design of safe stimulation protocols for functional electrostimulation requires knowledge of the “maximum reversible charge injection capacity” of the implantable microelectrodes. One of the main difficulties encountered in characterizing such microelectrodes is the calculation of the access voltage Va. This paper proposes a method to calculate Va that does not require prior knowledge of the overpotential terms and of the electrolyte (or excitable tissue) resistance, which is an advantage for in vivo electrochemical characterization of microelectrodes. To validate this method, we compare the calculated results with those obtained from conventional methods for characterizing three flexible platinum microelectrodes by cyclic voltammetry and voltage transient measurements. This paper presents the experimental setup, the required instrumentation, and the signal processing.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.classificationAccess voltagees
dc.subject.classificationCyclic voltammetryes
dc.subject.classificationVoltage transient measurementses
dc.subject.classificationCharge injection capacites
dc.subject.classificationCharge storage capacityes
dc.subject.classificationSurface roughnesses
dc.titleA measurement setup and automated calculation method to determine the charge injection capacity of implantable microelectrodeses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2018 The Authorses
dc.identifier.doi10.3390/s18124152es
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/18/12/4152es
dc.identifier.publicationfirstpage4152es
dc.identifier.publicationissue12es
dc.identifier.publicationtitleSensorses
dc.identifier.publicationvolume18es
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía y Competitividad ( Research project DPI2016-80391-C3-3-R)es
dc.identifier.essn1424-8220es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco33 Ciencias Tecnológicases


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