DocumentCode :
471690
Title :
Conduction Velocity Distribution Estimation using the Collision Technique for Assessing Carpal Tunnel Syndrome
Author :
Sundar, Swarna ; Gonzalez-Cueto, Jose A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Dalhousie Univ., Halifax, NS
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
2373
Lastpage :
2376
Abstract :
A technique for selectively activating nerve fibers based on their diameter using the collision technique and evaluating nerve integrity using a conduction velocity distribution (CVD) estimator is discussed in this paper. This study is aimed at improving current diagnostic techniques used for assessing carpal tunnel syndrome (CTS). Current nerve conduction studies are influenced by the activity of the largest fibers active at the moment of recording and it is not possible to selectively analyze the functioning of smaller nerve fibers. According to the literature, the severity of CTS progresses from large nerve fibers to small nerve fibers. Therefore, the current study is an attempt to selectively evaluate nerve fibers based on their diameter and hence detect the severity of CTS in a patient more effectively
Keywords :
Fourier transforms; bioelectric potentials; diseases; electrical conductivity; mean square error methods; neurophysiology; patient diagnosis; Fourier transform; carpal tunnel syndrome; collision technique; conduction velocity distribution estimation; current diagnostic techniques; mean square error method; nerve conduction; nerve fiber activation; nerve fiber functioning; nerve integrity; Cities and towns; Delay; Elbow; Electrodes; Intersymbol interference; Mathematical model; Nerve fibers; Optical fiber testing; USA Councils; Wrist;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.259663
Filename :
4462271
Link To Document :
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