A review of computer‐aided heart sound detection techniques
S Li, F Li, S Tang, W Xiong - BioMed research international, 2020 - Wiley Online Library
Cardiovascular diseases have become one of the most prevalent threats to human health
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in x-ray images
Background and Purpose: Coronaviruses (CoV) are perilous viruses that may cause Severe
Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV) …
Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV) …
A comprehensive survey on heart sound analysis in the deep learning era
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
Introduction In late 2019 and after the COVID-19 pandemic in the world, many researchers
and scholars tried to provide methods for detecting COVID-19 cases. Accordingly, this study …
and scholars tried to provide methods for detecting COVID-19 cases. Accordingly, this study …
Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts
Early detection is critical to achieving improved treatment outcomes for child patients with
congenital heart diseases (CHDs). Therefore, developing effective CHD detection …
congenital heart diseases (CHDs). Therefore, developing effective CHD detection …
Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns
Abstract Coronary Artery Diseases (CADs) are a dominant cause of worldwide fatalities. The
development of accurate and timely diagnosis routines is imperative to reduce these risks …
development of accurate and timely diagnosis routines is imperative to reduce these risks …
Classification of heart sound short records using bispectrum analysis approach images and deep learning
The diagnosis of cardiac disorders using heart sounds is one of the hottest topics in recent
years. In general, diagnosing in the early stage is usually performed using routine …
years. In general, diagnosing in the early stage is usually performed using routine …
A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection
H Li, X Wang, C Liu, Q Zeng, Y Zheng, X Chu… - Computers in biology …, 2020 - Elsevier
Phonocardiogram (PCG) signals reflect the mechanical activity of the heart. Previous studies
have reported that PCG signals contain heart murmurs caused by coronary artery disease …
have reported that PCG signals contain heart murmurs caused by coronary artery disease …
Diagnostic accuracy of machine learning models to identify congenital heart disease: a meta-analysis
Z Hoodbhoy, U Jiwani, S Sattar, R Salam… - Frontiers in artificial …, 2021 - frontiersin.org
Background: With the dearth of trained care providers to diagnose congenital heart disease
(CHD) and a surge in machine learning (ML) models, this review aims to estimate the …
(CHD) and a surge in machine learning (ML) models, this review aims to estimate the …
A novel heart-mobile interface for detection and classification of heart sounds
SR Thiyagaraja, R Dantu, PL Shrestha, A Chitnis… - … Signal Processing and …, 2018 - Elsevier
Diagnosis of heart disease requires that a medical practitioner investigate heart
auscultations for irregular sounds, followed by echocardiography and electrocardiography …
auscultations for irregular sounds, followed by echocardiography and electrocardiography …