Automated Heart Valve Disorder Detection Based on PDF Modeling of Formant Variation Pattern in PCG Signal
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
2. Department of Electrical Engineering, The University of Texas at Dallas, Richardson, TX, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09729771.pdf?arnumber=9729771
Reference48 articles.
1. Research on Segmentation and Classification of Heart Sound Signals Based on Deep Learning
2. Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
3. Logistic Regression-HSMM-based Heart Sound Segmentation
4. Pediatric heart sound segmentation using Hidden Markov Model
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1. Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database;Electronics;2024-08-14
2. Heart Valve Defect Detection From PCG Signals Using Spectral And Fractal Features;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13
3. SAR-CardioNet: A Network for Heart Valve Disease Detection From PCG Signal Based on Split-Self Attention With Residual Paths;IEEE Sensors Journal;2023-09-01
4. A Computer-Aided Heart Valve Disease Diagnosis System Based on Machine Learning;Journal of Healthcare Engineering;2023-01-23
5. PCG signal classification using a hybrid multi round transfer learning classifier;Biocybernetics and Biomedical Engineering;2023-01
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