DocumentCode :
466485
Title :
Multiscale Product of Electroglottogram Signal for Glottal Closure and Opening Instant Detection
Author :
Bouzid, A. ; Ellouze, N.
Author_Institution :
Signal, Image & Pattern Recognition Lab., National Sch. of Eng. of Tunis
Volume :
1
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
106
Lastpage :
109
Abstract :
This paper deals with robust singularity detection in electroglottogram (EGG) signal using multiscale product method. These singularities correspond to opening and closure instants of the glottis (GOIs and GCIs). Multiscale product method consists of computing the products of wavelet transform coefficients of the EGG signal at appropriate adjacent scales. As wavelet modulus maxima are a tool for signal edge detection, first derivative of a Gaussian function, is used for detecting discontinuities of EGG signal. EGG multiscale products enhance edge detection and the estimation is followed by cubic root amplitude representation. The proposed method tested on different types of signals is effective and robust even for particular signals showing undetermined GOI and multiple closure peaks
Keywords :
Gaussian processes; edge detection; electrocardiography; medical signal detection; medical signal processing; wavelet transforms; EGG signal; Gaussian function; cubic root amplitude representation; electroglottogram signal; glottal closure instant; glottal opening instant; glottis; multiscale product; robust singularity detection; signal edge detection; wavelet modulus maxima; wavelet transform; Amplitude estimation; Image edge detection; Parameter estimation; Pattern recognition; Robustness; Signal analysis; Signal detection; Systems engineering and theory; Wavelet analysis; Wavelet transforms; EGG signal; Glottal Closure Instant; Glottal Opening Instant; Multiscale Product Method; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
Type :
conf
DOI :
10.1109/CESA.2006.4281633
Filename :
4281633
Link To Document :
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