EAI Endorsed Transactions on Future Intelligent Educational Environments 16(9): e1

Research Article

Euclidean Distance Measure for the Electrocardiogram Fiducial Points Detection in the Phase-Space Formed with the Derivative Rule

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  • @ARTICLE{10.4108/eai.14-10-2015.2261633,
        author={Matej Zajc and Emil Plesnik},
        title={Euclidean Distance Measure for the Electrocardiogram Fiducial Points Detection in the Phase-Space Formed with the Derivative Rule},
        journal={EAI Endorsed Transactions on Future Intelligent Educational Environments},
        volume={16},
        number={9},
        publisher={ACM},
        journal_a={FIEE},
        year={2015},
        month={12},
        keywords={phase space, phase portrait, electrocardiogram, qrs-complex, euclidean distance, digital signal processing},
        doi={10.4108/eai.14-10-2015.2261633}
    }
    
  • Matej Zajc
    Emil Plesnik
    Year: 2015
    Euclidean Distance Measure for the Electrocardiogram Fiducial Points Detection in the Phase-Space Formed with the Derivative Rule
    FIEE
    EAI
    DOI: 10.4108/eai.14-10-2015.2261633
Matej Zajc1,*, Emil Plesnik2
  • 1: University of Ljubljana
  • 2: Marand d.o.o.
*Contact email: matej.zajc@fe.uni-lj.si

Abstract

Developments in mobile healthcare result in wide use of mobile phones to acquire, store or analyse mobile users’ biosignals, such as the electrocardiogram (ECG). These activities have motivated global research in designing new QRS-complex detectors and delineators for single-lead ECG signals. This paper examines a QRS detection and delineation algorithm based on a Euclidean-distance calculation in the phase space constructed with the derivative rule. The results confirmed that the phase-portrait constructed with the derivative rule is suitable for the QRS detection and delineation of the ECG signals, delivering comparable results to other established algorithm, such as Pan-Tompkins [16].