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The use of wavelet packets for detection and identification of events in uterine EMG

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Mohamad Khalil
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Abstract

In this paper, we propose a best basis selection method to choose a set of packets from a wavelet packet tree. Our goal is to obtain packets that show changes in both energy and frequency. The criterion adapted to choose the best basis is the Kullback-Leibler Distance (KLD). When there is no event to be detected, the estimated KLD follows roughly an exponential distribution depending on only one parameter: the length of the windows partitioning the signal. When events are detected in a packet, the distribution of the estimated KLD deviates from the exponential distribution. The statistics Kolmogorov-Smirnov are used to measure the separation between experimental and theoretical cumulative distributions in order to highlight the presence of ruptures, then to select the most relevant packets.
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Dates and versions

hal-02967088 , version 1 (14-10-2020)

Identifiers

  • HAL Id : hal-02967088 , version 1

Cite

Marwa Chendeb, Mohamad Khalil, Jacques Duchene. The use of wavelet packets for detection and identification of events in uterine EMG. 3rd European Medical and Biological Engineering Conference (EMBEC): Advancement of Medicine and Health Care through Technology, Nov 2005, Prague, Czech Republic. ⟨hal-02967088⟩
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