Detecting Flutter Waves in the Electrocardiogram Using Generalized Likelihood Ratio Test

Abstract : Accurate detection of f waves during atrial flutter is difficult. However, f waves contain information on the pathology and are useful for non-invasive diagnosis. The setup and difficulties of f wave detection lends itself to the use of statistical signal detection techniques. Real-life constraints can be modeled in the signal observation using several parameters in order to produce signal detectors with good performance. Several detectors were developed and tested using real 12-lead ECG recordings with manually annotated f wave markers available. At the end, a simple detector is obtained with relatively good detection performance (AUC = 0.89, (Se, Sp) = (0.87, 0.76)) and a threshold is available for use in automatic detection of f waves.
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Communication dans un congrès
Computing in Cardiology, Sep 2018, Maastricht, Netherlands
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https://hal.archives-ouvertes.fr/hal-01883581
Contributeur : Olivier Meste <>
Soumis le : vendredi 28 septembre 2018 - 13:20:24
Dernière modification le : jeudi 4 octobre 2018 - 09:30:16

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cinc2018_paper2.pdf
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  • HAL Id : hal-01883581, version 1

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Muhammad Haziq Azman, Olivier Meste, Kushsairy Kadir. Detecting Flutter Waves in the Electrocardiogram Using Generalized Likelihood Ratio Test. Computing in Cardiology, Sep 2018, Maastricht, Netherlands. 〈hal-01883581〉

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