Automatic classification of normal–abnormal heart sounds using convolution neural network and long-short term memory
The phonocardiogram (PCG) is an important analysis method for the diagnosis of
cardiovascular disease, which is usually performed by experienced medical experts. Due to …
cardiovascular disease, which is usually performed by experienced medical experts. Due to …
Phonocardiogram classification using deep convolutional neural networks with majority vote strategy
Most current automated phonocardiogram (PCG) classification methods are relied on PCG
segmentation. It is universal to make use of the segmented PCG signals and then extract …
segmentation. It is universal to make use of the segmented PCG signals and then extract …
Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network
PT Krishnan, P Balasubramanian… - Physical and Engineering …, 2020 - Springer
Given the patient to doctor ratio of 50,000: 1 in low income and middle-income countries,
there is a need for automated heart sound classification system that can screen the …
there is a need for automated heart sound classification system that can screen the …
Analysis of phonocardiogram signal using deep learning
Phonocardiogram (PCG) plays an important role in the initial diagnostic screenings of
patients to assess the presence of cardio-vascular abnormalities. It is also used to …
patients to assess the presence of cardio-vascular abnormalities. It is also used to …
Short PCG classification based on deep learning
Abstract The World Health Organization reported that, every year, 17.7 million people pass
away due to heart-related diseases. So, early investigation of the heart is very essential …
away due to heart-related diseases. So, early investigation of the heart is very essential …
Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models
Analyzing the condition and function of the heart is very important because cardiovascular
diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes …
diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes …
Detection of coronary heart disease based on MFCC characteristics of heart sound
X Zhou, X Guo, Y Zheng, Y Zhao - Applied Acoustics, 2023 - Elsevier
Background Phonocardiogram (PCG) has been widely used to aid in the diagnosis of
cardiovascular diseases. Coronary heart disease (CHD) is one of the leading causes of …
cardiovascular diseases. Coronary heart disease (CHD) is one of the leading causes of …
Transfer learning models for detecting six categories of phonocardiogram recordings
M Wang, B Guo, Y Hu, Z Zhao, C Liu… - Journal of Cardiovascular …, 2022 - mdpi.com
Background and aims: Auscultation is a cheap and fundamental technique for detecting
cardiovascular disease effectively. Doctors' abilities in auscultation are varied. Sometimes …
cardiovascular disease effectively. Doctors' abilities in auscultation are varied. Sometimes …
Cardi-Net: A deep neural network for classification of cardiac disease using phonocardiogram signal
Background and objectives The lack of medical facilities in isolated areas makes many
patients remain aloof from quick and timely diagnosis of cardiovascular diseases, leading to …
patients remain aloof from quick and timely diagnosis of cardiovascular diseases, leading to …
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 …