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Information Journal Paper

Title

COMPLEXITY-MEASURE-BASED APPROACH TO DETECT LIFE THREATENING CARDIAC ARRHYTHMIAS USING FIRST-ORDER DIFFERENCE OF ELECTROCARDIOGRAM SIGNALS

Pages

  9-22

Abstract

 The aim of this study is to evaluate how far LEMPEL-ZIV COMPLEXITY (LZC) of the binary SYMBOLIC SEQUENCES resulting from static or dynamic transformation (partitioning first-order difference) of the short-term ELECTROCARDIOGRAM (ECG) signals (only 2 seconds duration) has the potential in discriminating normal and VENTRICULAR TACHYCARDIA/ventricular fibrillation (VT/VF) subjects. The statistical analyses show that LZC from either transformation is sufficient to distinguish between normal and VT/VF subjects. Between the two, LZC of dynamic transformation is found to outperform LZC of static transformation. The receiver operating characteristic curve analysis confirms the robustness of this new approach which exhibits an average sensitivity of about 99.1% (100.0%), specificity of about 100.0% (100.0%), precision of around 98.9% (100.0%), and accuracy of about 99.5% (100.0%), with LZC to distinguish between normal and VT (VF) subjects. The presented method is simple, computationally efficient, and well suited for real time implementation in automatic external or implantable cardioverter-defibrillators.

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    APA: Copy

    KAMATH, CHANDRAKAR. (2015). COMPLEXITY-MEASURE-BASED APPROACH TO DETECT LIFE THREATENING CARDIAC ARRHYTHMIAS USING FIRST-ORDER DIFFERENCE OF ELECTROCARDIOGRAM SIGNALS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 6(3 (21)), 9-22. SID. https://sid.ir/paper/328801/en

    Vancouver: Copy

    KAMATH CHANDRAKAR. COMPLEXITY-MEASURE-BASED APPROACH TO DETECT LIFE THREATENING CARDIAC ARRHYTHMIAS USING FIRST-ORDER DIFFERENCE OF ELECTROCARDIOGRAM SIGNALS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2015;6(3 (21)):9-22. Available from: https://sid.ir/paper/328801/en

    IEEE: Copy

    CHANDRAKAR KAMATH, “COMPLEXITY-MEASURE-BASED APPROACH TO DETECT LIFE THREATENING CARDIAC ARRHYTHMIAS USING FIRST-ORDER DIFFERENCE OF ELECTROCARDIOGRAM SIGNALS,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 6, no. 3 (21), pp. 9–22, 2015, [Online]. Available: https://sid.ir/paper/328801/en

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