Research Repository

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

Liu, Fan, Zhou, X, Cao, J, Wang, Z, 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)
ISBN: 9781479981311
Uncontrolled 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
Subjects: FOR Classification > 0906 Electrical and Electronic Engineering
Faculty/School/Research Centre/Department > College of Science and Engineering
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 28 Aug 2019 00:15
Last Modified: 28 Aug 2019 00:15
URI: http://vuir.vu.edu.au/id/eprint/39315
DOI: https://doi.org/10.1109/ICASSP.2019.8682299
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Citations in Scopus: 2 - View on Scopus

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