Projects per year
Abstract
Managing the urinary bladder is of primary importance to clinicians and patients after trauma to the spinal cord. Sacral Anterior Root Stimulators that control the bladder have been available as clinical technology for many years, however these devices cannot measure the fullness of the urinary bladder or detect the onset of reflex voiding. In order to address this fundamental limitation, it is necessary to develop a method for recording the neural signals that encode bladder fullness. This paper presents a proof of concept technique for recording bladder afferents from the extradural sacral roots using a multiple electrode cuff. Results are provided from acute in-vivo experiments performed in sheep.
Original language | English |
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Title of host publication | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society |
Subtitle of host publication | Enabling Innovative Technologies for Global Healthcare, EMBC 2020 |
Publisher | IEEE |
Pages | 3873-3876 |
Number of pages | 4 |
ISBN (Electronic) | 9781728119908 |
DOIs | |
Publication status | Published - 27 Aug 2020 |
Event | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada Duration: 20 Jul 2020 → 24 Jul 2020 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Volume | 2020-July |
ISSN (Print) | 1557-170X |
Conference
Conference | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 |
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Country/Territory | Canada |
City | Montreal |
Period | 20/07/20 → 24/07/20 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics
Fingerprint
Dive into the research topics of 'Selective Recording of Urinary Bladder Fullness from the Extradural Sacral Roots'. Together they form a unique fingerprint.Projects
- 1 Finished
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Detecting Bladder Volume and pressure from Sacral Nerve Signals: the Key to Future Artificial Control
Taylor, J. (PI)
Engineering and Physical Sciences Research Council
1/07/17 → 31/03/21
Project: Research council