DocumentCode :
2954864
Title :
An energy ratio based measure for F-wave backfiring rate estimation
Author :
Kong, Xuan ; Gozani, Shai N.
Author_Institution :
Neurometrix Inc., Waltham, MA, USA
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
3990
Lastpage :
3993
Abstract :
F-wave persistence is a frequently reported parameter for nerve conduction studies. F-wave activities are generated through backfiring of motor neurons. F-wave persistence is designed to estimate the backfiring rate. Through computational models and probability analyses, we demonstrated that the F-wave persistence definition is deficient in providing a robust and consistent estimate of the backfiring rate. We proposed an energy ratio based measure as an alternative to F-wave persistence to estimate backfiring rates. The energy ratio measure is shown to be robust to activity detection threshold and without the ceiling effect suffered by the traditional F-wave persistence.
Keywords :
bioelectric phenomena; neurophysiology; physiological models; probability; F-wave backfiring rate estimation; F-wave persistence; activity detection threshold; computational models; energy ratio; motor neurons; nerve conduction; probability analysis; Computational modeling; Energy measurement; Erbium; Mathematical model; Muscles; Nerve fibers; Action Potentials; Neural Conduction; Probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5628004
Filename :
5628004
Link To Document :
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