Automated Detection of Atrial Fibrillation from ECG Signals with CNNs-Reference-Cited by-同舟云学术

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Automated Detection of Atrial Fibrillation from ECG Signals with CNNs

Published:2023-12-29 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

Behera Prabhudatta¹,Lukose Wilson²,Jain Seema¹,Maiti Jharna¹,Nayak Manish³,Sharma Animesh Kumar⁴

Affiliation:

1. Kalinga University,Naya Raipur,C.G

2. Bharati Vidyapeeth Institute Of Hotel Management and Catering Technology, Bharati Vidyapeeth (Deemed to be University) Off Campus,Navi Mumbai

3. Department Of Civil Raipur Institute Of Technology,Raipur

4. Assistant Professor Mathematics Program Coordinator,Faculty of Science and Technology, The ICFAI University,Raipur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489193.pdf?arnumber=10489193

Reference30 articles.

1. Classification of Atrial Fibrillation with Pre-Trained Convolutional Neural Network Models

2. Automated detection of cardiovascular disease by electrocardiogram signal analysis: a deep learning system

3. Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal

4. An Automatic System for Atrial Fibrillation by Using a CNN-LSTM Model

5. Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks

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