A pooling convolution model for multi-classification of ECG and PCG signals-Reference-Cited by-同舟云学术

A pooling convolution model for multi-classification of ECG and PCG signals

Published:2024-01-09 Issue: Volume: Page:1-14
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Wang Juliang¹^ORCID,Zang Junbin¹,An Qi¹,Wang Haoxin¹,Zhang Zhidong¹^ORCID

Affiliation:

1. Key Laboratory of Instrumentation Science & Dynamic Measurement of Ministry of Education, North University of China, Taiyuan, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shanxi Province

Shanxi Province Postgraduate Education Innovation Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2299697

Reference34 articles.

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2. A lightweight hybrid deep learning system for cardiac valvular disease classification

3. Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings

4. Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records

5. Adaptive ECG beat classification by ordinal pattern based entropies

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