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Content Provider | IEEE Xplore Digital Library |
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Author | Tsiakaka, O. Terosiet, M. Romain, O. Histace, A. Benali, H. Pradat, P.-F. Vallette, F. Feher, M. Feruglio, S. |
Copyright Year | 2015 |
Description | Author affiliation: ENSEA, Cergy Pontoise Univ., Cergy, France (Terosiet, M.; Romain, O.; Histace, A.) || UPMC Univ. Paris 06, Sorbonne Univ., Paris, France (Tsiakaka, O.; Benali, H.; Pradat, P.-F.; Vallette, F.; Feher, M.; Feruglio, S.) |
Abstract | Little is known about the processes occurring after Spinal Cord damage. Whether permanent or recoverable, those processes have not been precisely characterized because their mechanism is complex and information on the functioning of this organ are partial. This study demonstrates the feasibility of Spinal Cord activity monitoring using Near Infra-Red Spectroscopy in a pig animal model. This animal has been chosen because of its comparable size and its similarities with humans. In the first step, optical characterization of the Spinal Cord tissues was performed in different conditions using a spectrophotometer. Optical Density was evaluated between 3.5 and 6.5 in the [500; 950] nm range. Secondly, adapted light sources with custom probes were used to observe autonomic functions in the spine. Results on the measured haemodynamics at rest and under stimulation show in real time the impact of a global stimulus on a local section of the Spinal Cord. The photoplethysmogram signal of the Spinal Cord showed low AC-to-DC ratio (below to 1 %). |
Starting Page | 4262 |
Ending Page | 4265 |
File Size | 1045997 |
Page Count | 4 |
File Format | |
ISSN | 1557170X |
e-ISBN | 9781424492718 |
DOI | 10.1109/EMBC.2015.7319336 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-08-25 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Monitoring Optical imaging Spinal cord Biomedical optical imaging Optical scattering Blood |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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