Research Article
Euclidean Distance Measure for the Electrocardiogram Fiducial Points Detection in the Phase-Space Formed with the Derivative Rule
@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={2}, 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
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].
Copyright © 2015 M. Zajc and E. Plesnik, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.