Flexible intra-fascicular nerve electrodes for the recordings of autonomous nerves

Mie Mitsui, Shoji Takeuchi, Takafumi Suzuki, Michiko Ohkura, Kunihiko Mabuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a flexible intra-fascicular nerve electrode for control of an artificial heart fabricated by micro machining techniques. We have studied methods for the control of an artificial heart by using autonomous nerve information. Though several approaches have been reported for chronic measurements from peripheral nerves, stable and long-term measurements from autonomous nerves have not yet been established. In order to realize stable and low-invasive measurements, we focused on the electrode's flexibility. Our electrode is fabricated on a flexible polyimide film using micro machining techniques. The electrode consists of four needle-shaped flexible probes. After the planar patterning process, the tips of each probe are bent perpendicularly for insertion into the nerve bundle. The recording sites are placed on the tips of the each probe for the purpose of contacting nondamaged nerve areas. Also the hook-shaped structures are fabricated near the tips to avoid tips and nerve bundle shifting. As a result of preliminary experiments, the thickness of the film that is able to be inserted into the vagal nerve bundle of goat is 75 μm. As a first step for the evaluation for the electrodes, we were able to successfully measure neural activities of the sciatic nerve bundle of rats.

Original languageEnglish
Title of host publicationInternational IEEE/EMBS Conference on Neural Engineering, NER
PublisherIEEE Computer Society
Pages67-70
Number of pages4
Volume2003-January
ISBN (Print)0780375793
DOIs
Publication statusPublished - 2003
Event1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy
Duration: 2003 Mar 202003 Mar 22

Other

Other1st International IEEE EMBS Conference on Neural Engineering
CountryItaly
CityCapri Island
Period03/3/2003/3/22

Fingerprint

Electrodes
Artificial heart
Machining
Hooks
Polyimides
Needles
Rats
Experiments

Keywords

  • Artificial heart
  • Control systems
  • Electrodes
  • Fabrication
  • Flexible printed circuits
  • Machining
  • Polyimides
  • Position measurement
  • Probes
  • Wires

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Mitsui, M., Takeuchi, S., Suzuki, T., Ohkura, M., & Mabuchi, K. (2003). Flexible intra-fascicular nerve electrodes for the recordings of autonomous nerves. In International IEEE/EMBS Conference on Neural Engineering, NER (Vol. 2003-January, pp. 67-70). [1196757] IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196757

Flexible intra-fascicular nerve electrodes for the recordings of autonomous nerves. / Mitsui, Mie; Takeuchi, Shoji; Suzuki, Takafumi; Ohkura, Michiko; Mabuchi, Kunihiko.

International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January IEEE Computer Society, 2003. p. 67-70 1196757.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mitsui, M, Takeuchi, S, Suzuki, T, Ohkura, M & Mabuchi, K 2003, Flexible intra-fascicular nerve electrodes for the recordings of autonomous nerves. in International IEEE/EMBS Conference on Neural Engineering, NER. vol. 2003-January, 1196757, IEEE Computer Society, pp. 67-70, 1st International IEEE EMBS Conference on Neural Engineering, Capri Island, Italy, 03/3/20. https://doi.org/10.1109/CNE.2003.1196757
Mitsui M, Takeuchi S, Suzuki T, Ohkura M, Mabuchi K. Flexible intra-fascicular nerve electrodes for the recordings of autonomous nerves. In International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January. IEEE Computer Society. 2003. p. 67-70. 1196757 https://doi.org/10.1109/CNE.2003.1196757
Mitsui, Mie ; Takeuchi, Shoji ; Suzuki, Takafumi ; Ohkura, Michiko ; Mabuchi, Kunihiko. / Flexible intra-fascicular nerve electrodes for the recordings of autonomous nerves. International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January IEEE Computer Society, 2003. pp. 67-70
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