DocumentCode
2975379
Title
Estimation of the nerve conduction velocity distribution using partial bicepstral information
Author
Papadopoulou, Fotini A. ; Panas, Stavros M.
Author_Institution
Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece
fYear
1999
fDate
1999
Firstpage
161
Lastpage
164
Abstract
Recording of the compound action potential (CAP) of a peripheral nerve is an essential procedure in clinical neurophysiology. The CAP is a linear summation of single fiber action potentials (SFAPs) propagating along the nerve fibers, and in discrete time, it can be expressed as the circular convolution of a delay sequence (DS) and the sampled SFAP. The distribution of the conduction velocities (DVC) (related to the DS), and both amplitude and shape of the SFAP are estimated and can be used as a measure of health and well-functioning of the nerve. In the presented method, the blind deconvolution scheme proposed by Hirose is evaluated in the bicepstral domain to estimate the DS at a given conduction distance l1. The bispectrum iterative reconstruction algorithm (BIRA) is used to recover the delay sequence by only partial (phase) information. Linear phase is recovered by using the delay phase cepstrum, and the DCV is calculated from the estimated DS, following the formulation of the forward problem. The efficiency of the method is tested, especially, in the case of low SNR recordings
Keywords
bioelectric potentials; cepstral analysis; convolution; electrical conductivity; iterative methods; medical signal processing; neurophysiology; signal sampling; SNR recordings; bispectrum iterative reconstruction algorithm; circular convolution; clinical neurophysiology; compound action potential; conduction distance; conduction velocities; delay phase cepstrum; delay sequence; forward problem; linear phase; nerve conduction velocity distribution; partial bicepstral information; peripheral nerve; sampled SFAP; single fiber action potentials; Amplitude estimation; Convolution; Deconvolution; Delay effects; Delay estimation; Nerve fibers; Neurophysiology; Propagation delay; Shape measurement; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location
Caesarea
Print_ISBN
0-7695-0140-0
Type
conf
DOI
10.1109/HOST.1999.778716
Filename
778716
Link To Document