An Advanced Two-Step DNN-Based Framework for Arrhythmia Detection
Download
Full text for this resource is not available from the Research Repository.
Export
He, Jinyuan, Rong, Jia, Sun, Le, Wang, Hua ORCID: 0000-0002-8465-0996 and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2020) An Advanced Two-Step DNN-Based Framework for Arrhythmia Detection. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD 2020: Advances in Knowledge Discovery and Data Mining, 11-14 May 2020, Singapore.
Dimensions Badge
Altmetric Badge
Item type | Conference or Workshop Item (Paper) |
URI | https://vuir.vu.edu.au/id/eprint/41424 |
DOI | 10.1007/978-3-030-47436-2_32 |
Official URL | https://link.springer.com/chapter/10.1007%2F978-3-... |
ISBN | 9783030474355 |
Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics Current > Division/Research > College of Science and Engineering |
Keywords | heart arrhythmia, electrocardiogram, ECG, arrhythmia diagnosis, data augmentation |
Citations in Scopus | 13 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)