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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Szlavik, R.B. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Biomedical & General Engineering, California Polytechnic State University, San Luis Obispo, CA 93407-0350 USA (Szlavik, R.B.) |
| Abstract | The ability to determine the characteristics of peripheral nerve fiber size distributions would provide additional information to clinicians for the diagnosis of specific pathologies of the peripheral nervous system. Investigation of these conditions, using electro-diagnostic techniques, is advantageous in the sense that such techniques tend to be minimally invasive yet provide valuable diagnostic information. One of the principal electro-diagnostic tools available to the clinician is the nerve conduction velocity test. While the peripheral nerve conduction velocity test can provide useful information to the clinician regarding the viability of the nerve under study, it is a single parameter test that yields no detailed information about the characteristics of the functioning nerve fibers within the nerve trunk. In previous work, the efficacy of the group delay and simulated annealing approach was demonstrated in the context of a simulation study where deterministic functions were used to represent the single fiber evoked potentials. In this study we present a modification to the approach discussed previously that is applicable to non-deterministic functions of sampled data. |
| Starting Page | 5002 |
| Ending Page | 5005 |
| File Size | 812267 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424432967 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2009.5334609 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Simulated annealing Nerve fibers Testing Context modeling Delay estimation Delay effects USA Councils Pathology Nervous system Minimally invasive surgery |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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