ODEs model of foreign body reaction around peripheral nerve implanted electrode.

G. Di Pino, D. Formica, L. Lonini, D. Accoto, A. Benvenuto, S. Micera, P. M. Rossini, E. Guglielmelli

Research output: Contribution to journalArticle

Abstract

The foreign body reaction that the neural tissue develops around an implanted electrode contributes to insulate the probe and enhances the electrical and mechanical mismatch. It is a complex interaction among cells and soluble mediators and the knowledge of this phenomenon can benefits of formal and analytical methods that characterize the mathematical models. This work offers a lumped component model, described by ordinary differential equations, that taking into account the main geometrical (size, shape, insertion angle) and chemical (coating surface) properties of the implant predict the thickness of the fibrotic capsule in a time frame when the reaction stabilizes. This tool allows to evaluate different hypothetical solutions for accounting the tissue-electrode mismatch.

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Foreign-Body Reaction
Implanted Electrodes
Peripheral Nerves
Tissue
Electrodes
Surface Properties
Ordinary differential equations
Cell Communication
Capsules
Surface properties
Theoretical Models
Mathematical models
Coatings

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

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title = "ODEs model of foreign body reaction around peripheral nerve implanted electrode.",
abstract = "The foreign body reaction that the neural tissue develops around an implanted electrode contributes to insulate the probe and enhances the electrical and mechanical mismatch. It is a complex interaction among cells and soluble mediators and the knowledge of this phenomenon can benefits of formal and analytical methods that characterize the mathematical models. This work offers a lumped component model, described by ordinary differential equations, that taking into account the main geometrical (size, shape, insertion angle) and chemical (coating surface) properties of the implant predict the thickness of the fibrotic capsule in a time frame when the reaction stabilizes. This tool allows to evaluate different hypothetical solutions for accounting the tissue-electrode mismatch.",
author = "{Di Pino}, G. and D. Formica and L. Lonini and D. Accoto and A. Benvenuto and S. Micera and Rossini, {P. M.} and E. Guglielmelli",
year = "2010",
language = "English",
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journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",
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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Di Pino, G.

AU - Formica, D.

AU - Lonini, L.

AU - Accoto, D.

AU - Benvenuto, A.

AU - Micera, S.

AU - Rossini, P. M.

AU - Guglielmelli, E.

PY - 2010

Y1 - 2010

N2 - The foreign body reaction that the neural tissue develops around an implanted electrode contributes to insulate the probe and enhances the electrical and mechanical mismatch. It is a complex interaction among cells and soluble mediators and the knowledge of this phenomenon can benefits of formal and analytical methods that characterize the mathematical models. This work offers a lumped component model, described by ordinary differential equations, that taking into account the main geometrical (size, shape, insertion angle) and chemical (coating surface) properties of the implant predict the thickness of the fibrotic capsule in a time frame when the reaction stabilizes. This tool allows to evaluate different hypothetical solutions for accounting the tissue-electrode mismatch.

AB - The foreign body reaction that the neural tissue develops around an implanted electrode contributes to insulate the probe and enhances the electrical and mechanical mismatch. It is a complex interaction among cells and soluble mediators and the knowledge of this phenomenon can benefits of formal and analytical methods that characterize the mathematical models. This work offers a lumped component model, described by ordinary differential equations, that taking into account the main geometrical (size, shape, insertion angle) and chemical (coating surface) properties of the implant predict the thickness of the fibrotic capsule in a time frame when the reaction stabilizes. This tool allows to evaluate different hypothetical solutions for accounting the tissue-electrode mismatch.

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