Cited by 14Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit DesignEEG and Brain-Computer Interfaces

A customizable multi-channel stimulator for cortical neuroprosthesis

Ferrandez, J. M., Liano, E., Bonomini, P., Martinez, J.J., Toledo, J., Fernandez, E.·2007·2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Abstract

A simple architecture for a fully customizable cortical stimulator is presented. The whole device uses a 3D penetrating multielectrode array, which will be implanted in primary visual cortex (V1), offering different signal amplitude and waveforms sets. The system has been proved for injecting current (charge) in a safe, secure and precise way during acute animal experimentation. The architecture is based on a transistor based current injection stage and a microprocessor circuit with programmable waveforms. The dynamic characteristic of the stimulator provide the possibility to adapt the current level to the different working electrodes and tissue impedances. The system is specific tailored for a cortical visual neuroprosthesis for the blind.

Integrity signals

Registry

Crossref · 10.1109/iembs.2007.4353390

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Cortical implants like the Utah Electrode Array and customized multi-channel stimulator for cortical visual neuroprosthesis can be used for blinds.

    “Additionally, some cortical implants like the Utah Electrode Array and the customized multi-channel stimulator for a cortical visual neuroprosthesis can be used for blinds (Ferrandez et al., 2007).”

    From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Ferrandez et al., 2007

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ferrandez, J. M., Liano, E., Bonomini, P., Martinez, J. J., Toledo, J., & Fernandez, E.
Affiliations
  • Universitat de Miguel Hernández d'Elx (ES)
  • Universidad Politécnica de Cartagena (ES)
Venue
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher
IEEE
Published
2007-08
Volume
2007
Pages
4707-4710
ISSN
1557-170X (ISSN-L)
OpenAlex
W2125688826
Cited by
14
References
9
Citations by year
2026: 1 · 2023: 1 · 2022: 4 · 2021: 1 · 2020: 1 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 1 · 2014: 1
FWCI
0.00
Type
conference paper
Language
en
Open access
closed
Locations
  • Conference proceedings (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
cortical stimulation, neural prostheses, visual prosthesis, microelectrode arrays, primary visual cortex, current injection, microprocessor control, blind rehabilitation
MeSH terms
Brain Diseases, Cerebral Cortex, Electric Stimulation, Equipment Design, Humans, Microscopy, Electron

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review