The use of wavelet packets for detection and identification of events in uterine EMG - Université de technologie de Troyes Access content directly
Conference Papers Year : 2005

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

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.

Domains

Bioengineering
No file

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⟩
8 View
0 Download

Share

Gmail Facebook X LinkedIn More