Mathematical Modeling Of Clean And Noisy ECG Signals In A Level-Crossing Sampling Context

Abstract : In this paper, a state-of-the-art review of electrocardiographic (ECG) signal modelling techniques is presented. The mathematical Gaussian modelling is selected as the best technique to generate realistic ECG signals regarding its ability to preserve relevant information of ECG databases signals. The generated Gaussian ECG signal model is applied to a level-crossing converter to measure the accuracy and the efficiency of sampling and to evaluate the effects of the signal noise on the sampling paradigm. The performances of the conversion are evaluated in terms of quality of the reconstructed signal. A percentage root mean square difference (PRD) around 2 % is obtained. It is shown that the LC-ADC is robust against respiratory and movement noise. However, for low signal distortions the electromyogram (EMG) noise should not exceed 20 µV which is less than IEC 60601-2-47 specifications.
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https://hal.archives-ouvertes.fr/hal-01377961
Contributor : Circuits And Systems Equipe <>
Submitted on : Saturday, October 8, 2016 - 9:28:02 AM
Last modification on : Wednesday, June 20, 2018 - 1:24:09 AM

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  • HAL Id : hal-01377961, version 1

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Mariam Tlili, Asma Maalej, Manel Ben Romdhane, François Rivet, Dominique Dallet, et al.. Mathematical Modeling Of Clean And Noisy ECG Signals In A Level-Crossing Sampling Context. International Symposium on signal, Image, Video and Communications, Nov 2016, Tunis, Tunisia. ⟨hal-01377961⟩

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