A Deep Neural Network for Heart Valve Defect Classification From Synchronously Recorded ECG and PCG
Author:
Affiliation:
1. Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/10214959/10225645.pdf?arnumber=10225645
Reference18 articles.
1. Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks
2. Design and Evaluation of a Diaphragm for Electrocardiography in Electronic Stethoscopes
3. Peak Spectrogram and Convolutional Neural Network-Based Segmentation and Classification for Phonocardiogram Signals
4. Electrocardiogram and Phonocardiogram Monitoring System for Cardiac Auscultation
5. Dual-Input Neural Network Integrating Feature Extraction and Deep Learning for Coronary Artery Disease Detection Using Electrocardiogram and Phonocardiogram
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1. Cardiac signals classification via optional multimodal multiscale receptive fields CNN-enhanced Transformer;Knowledge-Based Systems;2024-09
2. Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database;Electronics;2024-08-14
3. A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation;2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE);2024-06-19
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