Projects per year
Abstract
New methods for the analysis of electrically-evoked compound action potentials (eCAPs) are described. Mammalian nerves tend to have broad multi-modal distributions of fibre diameters, which translates into a spread of conduction velocities. The method of velocity selective recording (VSR) is unable to distinguish between this spectral spread and the transfer function of the system. The concept of the velocity impulse function (VIF) is introduced as a tool to differentiate between these signal and system attributes. The new methods enable separate estimates of velocity spectral broadening and signal-to-noise ratio (SNR) to be obtained.
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 | 3477-3480 |
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 'The Effects of the Presence of Multiple Conduction Velocities in the Analysis of Electrically-Evoked Compound Action Potentials (eCAPs)'. 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