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

Download
Full text for this resource is not available from the Research Repository.
Export

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

Dimensions Badge

Altmetric Badge

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 23 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)