Design, fabrication, and characterization of a scalable tissue-engineered-electronic-nerve-interface (TEENI) device

Vidhi H. Desai, Benjamin S. Spearman, Chancellor S. Shafor, Sruthi Natt, Brandon Teem, James B. Graham, Eric W. Atkinson, Rebecca Wachs, Elizabeth A. Nunamaker, Kevin J. Otto, Christine E. Schmidt, Jack W. Judy

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

1 Citation (Scopus)

Abstract

In this study, we describe a novel peripheral-nerve interface which makes use of highly flexible multi-electrode arrays that are integrated into hydrogel-based scaffolds to form a hybrid tissue-engineered electronic construct. This tissue-engineered electronic nerve interface (TEENI) is designed to be scalable to high channel counts using multiple polyimide-based 'threads' that are evenly distributed through a volume of the nerve equal to its diameter times the distance between one or more nodes of Ranvier. Such scalability could greatly increase the precision and resolution of motor-control and sensory-feedback signals exchanged between amputees and advanced upper-limb prosthetic devices.

Original languageEnglish (US)
Title of host publication8th International IEEE EMBS Conference on Neural Engineering, NER 2017
PublisherIEEE Computer Society
Pages203-206
Number of pages4
ISBN (Electronic)9781538619162
DOIs
StatePublished - Aug 10 2017
Externally publishedYes
Event8th International IEEE EMBS Conference on Neural Engineering, NER 2017 - Shanghai, China
Duration: May 25 2017May 28 2017

Other

Other8th International IEEE EMBS Conference on Neural Engineering, NER 2017
CountryChina
CityShanghai
Period5/25/175/28/17

Fingerprint

Sensory feedback
Tissue
Fabrication
Forms (concrete)
Prosthetics
Polyimides
Hydrogels
Scaffolds
Scalability
Electrodes

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Desai, V. H., Spearman, B. S., Shafor, C. S., Natt, S., Teem, B., Graham, J. B., ... Judy, J. W. (2017). Design, fabrication, and characterization of a scalable tissue-engineered-electronic-nerve-interface (TEENI) device. In 8th International IEEE EMBS Conference on Neural Engineering, NER 2017 (pp. 203-206). [8008326] IEEE Computer Society. https://doi.org/10.1109/NER.2017.8008326

Design, fabrication, and characterization of a scalable tissue-engineered-electronic-nerve-interface (TEENI) device. / Desai, Vidhi H.; Spearman, Benjamin S.; Shafor, Chancellor S.; Natt, Sruthi; Teem, Brandon; Graham, James B.; Atkinson, Eric W.; Wachs, Rebecca; Nunamaker, Elizabeth A.; Otto, Kevin J.; Schmidt, Christine E.; Judy, Jack W.

8th International IEEE EMBS Conference on Neural Engineering, NER 2017. IEEE Computer Society, 2017. p. 203-206 8008326.

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

Desai, VH, Spearman, BS, Shafor, CS, Natt, S, Teem, B, Graham, JB, Atkinson, EW, Wachs, R, Nunamaker, EA, Otto, KJ, Schmidt, CE & Judy, JW 2017, Design, fabrication, and characterization of a scalable tissue-engineered-electronic-nerve-interface (TEENI) device. in 8th International IEEE EMBS Conference on Neural Engineering, NER 2017., 8008326, IEEE Computer Society, pp. 203-206, 8th International IEEE EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, 5/25/17. https://doi.org/10.1109/NER.2017.8008326
Desai VH, Spearman BS, Shafor CS, Natt S, Teem B, Graham JB et al. Design, fabrication, and characterization of a scalable tissue-engineered-electronic-nerve-interface (TEENI) device. In 8th International IEEE EMBS Conference on Neural Engineering, NER 2017. IEEE Computer Society. 2017. p. 203-206. 8008326 https://doi.org/10.1109/NER.2017.8008326
Desai, Vidhi H. ; Spearman, Benjamin S. ; Shafor, Chancellor S. ; Natt, Sruthi ; Teem, Brandon ; Graham, James B. ; Atkinson, Eric W. ; Wachs, Rebecca ; Nunamaker, Elizabeth A. ; Otto, Kevin J. ; Schmidt, Christine E. ; Judy, Jack W. / Design, fabrication, and characterization of a scalable tissue-engineered-electronic-nerve-interface (TEENI) device. 8th International IEEE EMBS Conference on Neural Engineering, NER 2017. IEEE Computer Society, 2017. pp. 203-206
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