Automated detection of shockable ECG signals: A review Hammad, M, Kandala, RNVPS, Abdelatey, A, Abdar, Moloud, Zomorodi‐Moghadam, M, Tan, RS, Acharya, UR, Pławiak, J, Tadeusiewicz, R, Makarenkov, V, Sarrafzadegan, N, Khosravi, Abbas, Nahavandi, Saeid, EL-Latif, AAA and Pławiak, P 2021, Automated detection of shockable ECG signals: A review, Information Sciences, vol. 571, pp. 580-604, doi: 10.1016/j.ins.2021.05.035. Attached Files Name Description MIMEType Size Downloads Title Automated detection of shockable ECG signals: A review Author(s) Hammad, M Kandala, RNVPS Abdelatey, A Abdar, Moloud orcid.org/0000-0002-3059-6357 Zomorodi‐Moghadam, M Tan, RS Acharya, UR Pławiak, J Tadeusiewicz, R Makarenkov, V Sarrafzadegan, N Khosravi, Abbas orcid.org/0000-0001-6927-0744 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 EL-Latif, AAA Pławiak, P Journal name Information Sciences Volume number 571 Start page 580 End page 604 Total pages 25 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2021 ISSN 0020-0255 1872-6291 Keyword(s) ALGORITHM Arrhythmia ATRIAL-FIBRILLATION CLASSIFICATION Computer Science Computer Science, Information Systems Computer-aided arrhythmia classification (CAAC) CONVOLUTION NEURAL-NETWORK Deep learning DEEP LEARNING APPROACH DIAGNOSIS Electrocardiogram (ECG) Ensemble learning Feature extraction Feature selection Machine learning MODEL Optimization REAL-TIME DETECTION RECURRENCE PLOTS Science & Technology Signal processing Technology THREATENING VENTRICULAR-ARRHYTHMIAS Language eng DOI 10.1016/j.ins.2021.05.035 Field of Research 01 Mathematical Sciences 08 Information and Computing Sciences 09 Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30153028 Document type: Journal Article Collection: Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 02 Jul 2021, 08:12:12 EST Sat, 03 Jul 2021, 05:01:06 EST Mon, 05 Jul 2021, 08:06:10 EST Sat, 18 Sep 2021, 02:33:02 EST Wed, 24 Nov 2021, 05:02:30 EST Wed, 12 Jan 2022, 13:17:43 EST Wed, 12 Jan 2022, 15:42:05 EST Wed, 12 Jan 2022, 15:46:04 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 56 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 02 Jul 2021, 08:12:12 EST