Deep learning methods for heart sounds classification: A systematic review
The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
[PDF][PDF] A Systematic Literature Review of Deep and Machine Learning Algorithms in Cardiovascular Diseases Diagnosis
During the whole cardiac cycle, heart sounds are created, and blood enters the heart
chambers as the cardiac regulators open and close. Blood flow produces aural noises; the …
chambers as the cardiac regulators open and close. Blood flow produces aural noises; the …
[HTML][HTML] A lightweight hybrid deep learning system for cardiac valvular disease classification
Y Al-Issa, AM Alqudah - Scientific Reports, 2022 - nature.com
Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …
A unique thermal conductivity model (ANN) for nanofluid based on experimental study
The alumina, copper oxide and zinc oxide nanoparticles (40 nm) were used to prepare the
distilled water based nanofluids. The particle weight concentration varies in the range of …
distilled water based nanofluids. The particle weight concentration varies in the range of …
Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using PCG signals
The damage to the heart valves causes heart valve disorders (HVDs). The detection of
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals
This work aimed to use machine learning to diagnose four heart valve disease conditions
and normal heart sounds. This paper proposed the automated classification of normal, aortic …
and normal heart sounds. This paper proposed the automated classification of normal, aortic …
[HTML][HTML] Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound …
FS Hsu, SR Huang, CW Huang, CJ Huang… - PLoS …, 2021 - journals.plos.org
A reliable, remote, and continuous real-time respiratory sound monitor with automated
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …
An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds
Background and purpose Valvular heart disease (VHD) is an important cause of morbidity
and mortality. Echocardiography is the reference standard for VHD diagnosis but is not …
and mortality. Echocardiography is the reference standard for VHD diagnosis but is not …
Measuring service quality based on customer emotion: An explainable AI approach
This paper develops an explainable artificial intelligence (AI) approach to measuring service
quality in voice-based service encounters. Drawing from the psychology and computer …
quality in voice-based service encounters. Drawing from the psychology and computer …
Graph convolutional network‐based deep feature learning for cardiovascular disease recognition from heart sound signals
The high mortality rate and prevalence of cardiovascular disease (CVD) make early
detection of the disease essential. Due to its simplicity and low cost, the phonocardiogram …
detection of the disease essential. Due to its simplicity and low cost, the phonocardiogram …