An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification
Download
Full text for this resource is not available from the Research Repository.
Export
Liu, Fan, Zhou, Xingshe, Wang, Tianben, Cao, Jinli ORCID: 0000-0002-0221-6361, Wang, Zhu, Wang, Hua ORCID: 0000-0002-8465-0996 and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2019) An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification. In: 2019 International Joint Conference on Neural Networks (IJCNN), 14 Jul 2019 - 19 Jul 2019, Budapest, Hungary.
Dimensions Badge
Altmetric Badge
Item type | Conference or Workshop Item (Paper) |
URI | https://vuir.vu.edu.au/id/eprint/39792 |
DOI | 10.1109/IJCNN.2019.8852037 |
Official URL | https://ieeexplore.ieee.org/document/8852037 |
ISBN | 9781728119854 |
Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > College of Science and Engineering |
Keywords | arrhythmias; electrocardiogram; long short-term memory network; convolutional neural network; LSTM-CN; SB-LSTM; TD-CNN |
Citations in Scopus | 27 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)