Imaging of the upper airways during hypoglossal nerve stimulation

Jingtao Huang, Mesut Sahin, Dominique Durand

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

Abstract

The upper airways were imaged in an anesthetized beagle to investigate the effect of selective stimulation of the hypoglossal nerve (HG) with a multi-contact peripheral nerve electrode. A fiberoscope lead (diam. 5 mm) was inserted transorally and positioned at various points in the upper airways while the head was fixed at either 30°or 90° from the horizontal. Images taken in the pharynx and near the base of the tongue show that stimulations delivered through the electrode contacts placed around the HG nerve trunk can generate several different patterns of tongue activation. A subset of these patterns substantially increase the size of the pharyngeal opening. These results suggest that selective stimulation of the whole HG nerve can be a useful technique to maximize the effect of the HG nerve stimulation in removing the obstructions in steep apnea patients.

Original languageEnglish (US)
Title of host publicationConference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering
EditorsLaura J. Wolf, Jodi L. Strock
PublisherIEEE Computer Society
Pages124-125
Number of pages2
ISBN (Electronic)0780375793
DOIs
StatePublished - Jan 1 2003
Externally publishedYes
Event1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy
Duration: Mar 20 2003Mar 22 2003

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2003-January

Other

Other1st International IEEE EMBS Conference on Neural Engineering
CountryItaly
CityCapri Island
Period3/20/033/22/03

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Huang, J., Sahin, M., & Durand, D. (2003). Imaging of the upper airways during hypoglossal nerve stimulation. In L. J. Wolf, & J. L. Strock (Eds.), Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering (pp. 124-125). [1196772] (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196772