Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features-Reference-Cited by-同舟云学术

Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features

Published:2022-03 Issue: Volume:73 Page:103445
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Khan Sibghatullah I.,Qaisar Saeed Mian,Pachori Ram Bilas

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference113 articles.

1. World Health Organization, “Cardiovascular diseases (CVDs),” Jun. 2021. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).

2. Valvular heart disease: Diagnosis and management;Maganti;Mayo Clin. Proc.,2010

3. The global burden of congenital heart disease;Hoffman;Cardiovasc. J. Afr.,2013

4. S. I. Khan, V. Ahmed, “Investigation of some features for preliminary detection of coronary artery disease using electronic stethoscope,” 2017. doi: 10.1109/ETCT.2016.7882956.

5. Acoustic features for the identification of coronary artery disease;Schmidt;IEEE Trans. Biomed. Eng.,2015

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HBNET: A blended ensemble model for the detection of cardiovascular anomalies using phonocardiogram;Technology and Health Care;2024-05-10

2. Enhanced label constrained contrastive learning for chromosome optical microscopic image classification;Biomedical Signal Processing and Control;2024-04

3. Hilbert domain characterizations of wavelet packets for automated heart sound abnormality detection;Biomedical Signal Processing and Control;2024-04

4. Automatic classification of seizure and seizure-free EEG signals based on phase space reconstruction features;Journal of Biological Physics;2024-03-11

5. A Two-Level Classifier for Prediction of Healthy and Unhealthy Lung Sounds Using Machine Learning and Convolutional Neural Network;Communications in Computer and Information Science;2024