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 …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
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 …
A comprehensive survey on heart sound analysis in the deep learning era
Heart sound auscultation has been demonstrated to be beneficial in clinical usage for early
screening of cardiovascular diseases. Due to the high requirement of well-trained …
screening of cardiovascular diseases. Due to the high requirement of well-trained …
Diagnosis of heart diseases by a secure internet of health things system based on autoencoder deep neural network
Objective of this study is to introduce a secure IoHT system, which acts as a clinical decision
support system with the diagnosis of cardiovascular diseases. In this sense, it was …
support system with the diagnosis of cardiovascular diseases. In this sense, it was …
Time-frequency analysis, denoising, compression, segmentation, and classification of PCG signals
TH Chowdhury, KN Poudel, Y Hu - Ieee Access, 2020 - ieeexplore.ieee.org
Phonocardigraphy (PCG) is the graphical representation of heart sounds. The PCG signal
contains useful information about the functionality and the condition of the heart. It also …
contains useful information about the functionality and the condition of the heart. It also …
An optimal approach for heart sound classification using grid search in hyperparameter optimization of machine learning
Heart-sound auscultation is one of the most widely used approaches for detecting
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world.
This research focuses on computer-aided analysis of phonocardiogram (PCG) signals …
This research focuses on computer-aided analysis of phonocardiogram (PCG) signals …
Replay attack detection in smart cities using deep learning
Intrusion detection is an important and challenging problem that has a major impact on
quality and reliability of smart city services. To this extent, replay attacks have been one of …
quality and reliability of smart city services. To this extent, replay attacks have been one of …