Research Article
Euclidean Distance Measure for the Electrocardiogram Fiducial Points Detection in the Phase-Space Formed with the Derivative Rule
@INPROCEEDINGS{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}, proceedings={5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={ACM}, proceedings_a={MOBIHEALTH}, 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
MOBIHEALTH
ICST
DOI: 10.4108/eai.14-10-2015.2261633
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].
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