Development of an Automated Updated Selvester QRS Scoring System Using SWT-Based QRS Fractionation Detection and Classification

Bono, V, Mazomenos, EB orcid.org/0000-0003-0357-5996, Chen, T et al. (5 more authors) (2014) Development of an Automated Updated Selvester QRS Scoring System Using SWT-Based QRS Fractionation Detection and Classification. IEEE Journal of Biomedical and Health Informatics, 18 (1). pp. 193-204. ISSN 2168-2194

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Copyright, Publisher and Additional Information: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Automated ECG processing, electrocardiography, myocardial scar, Selvester QRS score, stationary wavelet transform (SWT)
Dates:
  • Accepted: 6 May 2013
  • Published (online): 15 May 2013
  • Published: January 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 22 Nov 2022 12:10
Last Modified: 23 Nov 2022 12:36
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/jbhi.2013.2263311

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