PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis
Heart disease is a common condition worldwide and has become one of the leading causes
of death worldwide. The electrocardiogram (PCG) is a safe, painless, and non-invasive test …
of death worldwide. The electrocardiogram (PCG) is a safe, painless, and non-invasive test …
A novel feature-level fusion scheme with multimodal attention CNN for heart sound classification
Background and objective Most of the existing machine learning-based heart sound
classification methods achieve limited accuracy. Since they primarily depend on single …
classification methods achieve limited accuracy. Since they primarily depend on single …
Heart sound classification based on residual shrinkage networks
Heart sound classification is one of the non-invasive methods for early detection of the
cardiovascular diseases (CVDs), the leading cause for deaths. In recent years, Computer …
cardiovascular diseases (CVDs), the leading cause for deaths. In recent years, Computer …
Heart sound classification based on improved mel-frequency spectral coefficients and deep residual learning
F Li, Z Zhang, L Wang, W Liu - Frontiers in Physiology, 2022 - frontiersin.org
Heart sound classification plays a critical role in the early diagnosis of cardiovascular
diseases. Although there have been many advances in heart sound classification in the last …
diseases. Although there have been many advances in heart sound classification in the last …
Heart sounds classification: Application of a new CyTex inspired method and deep convolutional neural network with transfer learning
Abstract Analysis of heart sounds is an effective means for the early diagnosis of cardiac
pathologies. Heart sound classification is a challenging multi-disciplinary field that attracts …
pathologies. Heart sound classification is a challenging multi-disciplinary field that attracts …
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 …
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 …
Lightweight end-to-end neural network model for automatic heart sound classification
Heart sounds play an important role in the initial screening of heart diseases. However, the
accurate diagnosis with heart sound signals requires doctors to have many years of clinical …
accurate diagnosis with heart sound signals requires doctors to have many years of clinical …
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 …
Cnn-based heart sound classification with an imbalance-compensating weighted loss function
Z Li, Y Chang, BW Schuller - 2022 44th Annual International …, 2022 - ieeexplore.ieee.org
Heart sound auscultation is an effective method for early-stage diagnosis of heart disease.
The application of deep neural networks is gaining increasing attention in automated heart …
The application of deep neural networks is gaining increasing attention in automated heart …