An efficient and robust phonocardiography (pcg)-based valvular heart diseases (vhd) detection framework using vision transformer (vit)
Background and objectives: Valvular heart diseases (VHDs) are one of the dominant causes
of cardiovascular abnormalities that have been associated with high mortality rates globally …
of cardiovascular abnormalities that have been associated with high mortality rates globally …
Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
M Alkhodari, L Fraiwan - Computer Methods and Programs in Biomedicine, 2021 - Elsevier
Valvular heart diseases (VHD) are one of the major causes of cardiovascular diseases that
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …
Explainable deep convolutional neural network for valvular heart diseases classification using pcg signals
The heart sounds recorded through a phonocardiogram (PCG) can assist in the early
detection of valvular heart diseases (VHD), which is important for minimizing the chances of …
detection of valvular heart diseases (VHD), which is important for minimizing the chances of …
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 …
Transfer learning based heart valve disease classification from Phonocardiogram signal
Physiological conditions that prevent heart valves from functioning precisely to ensure
proper blood circulation are known as heart valve disorder (HVD). Detection of HVD is …
proper blood circulation are known as heart valve disorder (HVD). Detection of HVD is …
CardioXNet: A novel lightweight deep learning framework for cardiovascular disease classification using heart sound recordings
The alarmingly high mortality rate and increasing global prevalence of cardiovascular
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
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 …
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 …
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
The exponential growth of a multitude of cardiovascular diseases, leading to life frightening
conditions, makes fast and accurate computer-aided techniques that are relevant and …
conditions, makes fast and accurate computer-aided techniques that are relevant and …
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 …