A LSTM and CNN Based Assemble Neural Network Framework for Arrhythmias Classification

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Liu, Fan, Zhou, Xingshe, 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) A LSTM and CNN Based Assemble Neural Network Framework for Arrhythmias Classification. In: 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), 12 May 2019 - 17 May 2019, Brighton, United Kingdom.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/39315
DOI 10.1109/ICASSP.2019.8682299
Official URL https://ieeexplore.ieee.org/document/8682299
ISBN 9781479981311
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > College of Science and Engineering
Keywords long short-term memory network; convolutional neural network; arrhythmias; classification model; stacked bidirectional long shotterm memory network; two-dimensional convolutional neural network; ensemble empirical mode decomposition
Citations in Scopus 16 - View on Scopus
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