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 …
Deep autoencoder neural networks for heart sound classification
Heart sound signals, or Phonocardiogram (PCG), play a significant role in diagnosing heart
diseases, and it is a well-accepted way to detect cardiovascular diseases (CVDs). Recent …
diseases, and it is a well-accepted way to detect cardiovascular diseases (CVDs). Recent …
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 …
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 …
[PDF][PDF] Data augmentation and the improvement of the performance of convolutional neural networks for heart sound classification
S Takezaki, K Kishida - IAENG Int. J. Comput. Sci, 2022 - iaeng.org
The effective management and early diagnosis of cardiovascular diseases (CVDs) are
crucial to bring down the mortality associated these diseases. Because detecting CVDs can …
crucial to bring down the mortality associated these diseases. Because detecting CVDs can …
Detecting Abnormal PCG Signals and Extracting Cardiac Information Employing Deep Learning and the Shannon Energy Envelope
M Chowdhury, K Poudel, Y Hu - 2020 IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
Phonocardiogram (PCG) is a computerized system that represents the heart sound
recording. PCG reflects the acoustic behavior of the heart graphically through intensity …
recording. PCG reflects the acoustic behavior of the heart graphically through intensity …
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 …
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 …
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 …
[PDF][PDF] Systematic Review for Phonocardiography Classification Based on Machine Learning
Phonocardiography, the recording and analysis of heart sounds, has become an essential
tool in diagnosing cardiovascular diseases (CVDs). In recent years, machine learning and …
tool in diagnosing cardiovascular diseases (CVDs). In recent years, machine learning and …