A framework for cardiac arrhythmia detection from IoT-based ECGs
He, Jinyuan, Rong, Jia, Sun, Le, Wang, Hua ORCID: 0000-0002-8465-0996, Zhang, Yanchun
ORCID: 0000-0002-5094-5980 and Ma, Jiangang
(2020)
A framework for cardiac arrhythmia detection from IoT-based ECGs.
World Wide Web: Internet and Web Information Systems.
ISSN 1386-145X
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Additional Information | This is a post-peer-review, pre-copyedit version of an article published in World Wide Web: Internet and Web Information Systems. The final authenticated version is available online |
Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/41028 |
DOI | 10.1007/s11280-019-00776-9 |
Official URL | https://link.springer.com/article/10.1007%2Fs11280... |
Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0806 Information Systems Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | IoT; cardiac arrhythmia; arrhythmia detection; Dynamic Heartbeat Classification with Adjusted Features; DHCAF; Multi-channel Heartbeat Convolution Neural Network; MCHCNN |
Citations in Scopus | 54 - View on Scopus |
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