Effective and efficient detection of premature ventricular contractions based on variation of principal directions

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Zarei, Roozbeh, He, Jing, Huang, G and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2016) Effective and efficient detection of premature ventricular contractions based on variation of principal directions. Digital Signal Processing: A Review Journal, 50. 93 - 102. ISSN 1051-2004

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/31221
DOI https://doi.org/10.1016/j.dsp.2015.12.002
Official URL http://www.sciencedirect.com/science/article/pii/S...
Funders http://purl.org/au-research/grants/arc/LP100200682, http://purl.org/au-research/grants/arc/DP130101327, http://purl.org/au-research/grants/arc/DE130100911
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > FOR Classification > 0913 Mechanical Engineering
Historical > FOR Classification > 1005 Communications Technologies
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Current > Division/Research > College of Science and Engineering
Keywords classification of electrocardiogram; ECG; heart; cardiac symptoms; premature ventricular contraction; PVC
Citations in Scopus 24 - View on Scopus
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