Pitch synchronous wavelet based fetal ECG extraction

Elloumi, Afef; Lachiri, Zied; Ellouze, Noureddine

doi:10.1109/isccsp.2004.1296269

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Pitch Synchronous Wavelet Transform and Hidden Semi-markov M1

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Cited by 3 publications

(1 citation statement)

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“…Experimental results show the accuracy of the proposed technique for all corrupted ECG tested reaching a sensitivity Se=99,95% for QRS detection and Se=97,79% for T detection. represent a finite scale pitch synchronous wavelet, L level scaling sequences and the expansion coefficients, respectively (Elloumi et al, 2004).…”

Section: Pitch Synchronous Wavelet Transform and Hidden Semi-markov Mmentioning

confidence: 99%

Using Hidden Markov Models for ECG Characterisation

Krimi¹,

Ouni²,

Ellouze³

2011

Hidden Markov Models, Theory and Applications

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Section: Pitch Synchronous Wavelet Transform and Hidden Semi-markov Mmentioning

confidence: 99%

Using Hidden Markov Models for ECG Characterisation

Krimi¹,

Ouni²,

Ellouze³

2011

Hidden Markov Models, Theory and Applications

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ECG image representation of normal sinus rythm

Soualhi

Oueslati

Ellouze

2014

2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

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Detecting particular features in C. elegans genomes using Synchronous Analysis based on Wavelet Transform

Oueslati

Lachiri

Ellouze

2011

IJBRA

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In this paper, synchronous analysis based on wavelet transform is applied to genomic sequences. To focus on the particular feature of periodicity 3 in the protein-coding region of genes, a coding method is applied on the sequence, which will be segmented to form a pitch synchronous representation. This modelling concept captures period of period fluctuation of signals. The wavelet transform enhances the periodicity, and a given threshold is used to make decision about exon's positions. The algorithm simulation shows the accuracy of the method in simultaneously locating exons and revealing the reading frame associated.

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Pitch synchronous wavelet based fetal ECG extraction

Cited by 3 publications

References 5 publications

Using Hidden Markov Models for ECG Characterisation

Using Hidden Markov Models for ECG Characterisation

ECG image representation of normal sinus rythm

Detecting particular features in C. elegans genomes using Synchronous Analysis based on Wavelet Transform

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