An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification

Full text for this resource is not available from the Research Repository.

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

Search Google Scholar

Repository staff login