A Gated Recurrent Unit Based Continual Normalization Model for Arrythmia Classification Using ECG Signals-Reference-Cited by-同舟云学术

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A Gated Recurrent Unit Based Continual Normalization Model for Arrythmia Classification Using ECG Signals

Published:2023-11-02 Issue: Volume:30 Page:1-5
ISSN:
Container-title:2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)
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Author:

Manjunath Chinthakunta¹,K.L Hemalatha²,Sandya Vooradi³,Sunil G⁴,Shakir Aboothar Mahmood⁵

Affiliation:

1. CHRIST(Deemed to be University),Department of CSE,Bengaluru,India

2. Sri Krishna Institute of Technology,Department of Information Science and Engineering,Bengaluru,India

3. CMR Technical Campus,Department of CSE(Data Science),Hyderabad,India

4. School of Computer Science & Artificial Intelligence, SR University,Warangal,India

5. The Islamic University,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389814/10389816/10390056.pdf?arnumber=10390056

Reference15 articles.

1. ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset

2. Convolutional-Recurrent Neural Network with the Tensor Fusion Mechanism for Acoustic Scene Classification;Jiang;Engineering Letters,2022

3. Electrocardiogram based arrhythmia classification using wavelet transform with deep learning model

4. Inter-patient arrhythmia classification with improved deep residual convolutional neural network

5. Biofeedback Upper Limb Assessment Using Electroencephalogram, Electromyographic and Electrocardiographic with Machine Learning in Signal Classification;Lew;Engineering Letters,2022

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