Deep Learning Model for Arrhythmia Classification with 2D Convolutional Neural Network-Reference-Cited by-同舟云学术

Deep Learning Model for Arrhythmia Classification with 2D Convolutional Neural Network

Published:2022-09-19 Issue: Volume: Page:1-11
ISSN:2524-7565
Container-title:Innovations in Information and Communication Technologies
language:
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Author:

Nithya S.^ORCID,Rani Mary Shanthi^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3796-5_1

Reference26 articles.

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2. Sree V, Mapes J, Dua S, Lih OS, Koh JE, Ciaccio EJ, Acharya UR (2021) A novel machine learning framework for automated detection of arrhythmias in ECG segments. J Ambient Intell Humaniz Comput 12(11):10145–10162

3. Bhagyalakshmi V, Pujeri RV, Devanagavi GD (2021) GB-SVNN: Genetic BAT assisted support vector neural network for arrhythmia classification using ECG signals. J King Saud Univ Comp Inf Sci 33(1):54–67

4. Mary Shanthi Rani M, Chitra P, Lakshmanan S, Kalpana Devi M, Sangeetha R, Nithya S (2022) DeepCompNet: a novel neural net model compression architecture. Computational Intelligence and Neuroscience

5. Devi MK, Rani MMS (2021) A comparative study of machine learning classifiers for diabetic retinopathy detection. In: Advances in Automation, Signal Processing, Instrumentation, and Control: Select Proceedings of i-CASIC 2020. Springer Singapore, pp 735–742

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