Le-lwtnet: A learnable lifting wavelet convolutional neural network for heart sound abnormality detection
Automatic heart sound abnormality detection plays a vital role in the preliminary diagnosis of
cardiovascular diseases (CVDs). Many handcraft-designed or learning-based methods have …
cardiovascular diseases (CVDs). Many handcraft-designed or learning-based methods have …
Automated detection of heart valve diseases using stationary wavelet transform and attention-based hierarchical LSTM network
This article presents a phonocardiogram (PCG)-based heart valve disease (HVD) detection
for primary healthcare units. In this work, we propose a stationary wavelet transform (SWT) …
for primary healthcare units. In this work, we propose a stationary wavelet transform (SWT) …
Intelligent optimal framework for the industrial mining plant-wide prediction control
Y Lei - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
In the underground mining industry, the deep cone system (DCS) is the core element for the
whole production and paste-filling process. Due to the coupled variables, large time delay …
whole production and paste-filling process. Due to the coupled variables, large time delay …
Phonocardiogram Classification by Learning From Positive and Unlabeled Examples
The advent of deep learning has rekindled research in computer-aided auscultation for the
classification of phonocardiogram (PCG) signals. Deep-learning techniques require a large …
classification of phonocardiogram (PCG) signals. Deep-learning techniques require a large …
Heart Murmur Severity Stages Classification Using Multi-kernel Residual CNN
S Das, S Dandapat - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Computer-aided diagnosis of heart murmurs (HMs) using phonocardiogram (PCG) signals
facilitates early treatment of heart valve diseases (HVDs). This work proposes a novel …
facilitates early treatment of heart valve diseases (HVDs). This work proposes a novel …
Exploiting Data-Efficient Image Transformer-based Transfer Learning for Valvular Heart Diseases Detection
T Jumphoo, K Phapatanaburi, W Pathonsuwan… - IEEE …, 2024 - ieeexplore.ieee.org
Recent studies have shown the potential of the Data-Efficient Image Transformer (DeiT)-
based transfer learning method in speech/image recognition and classification utilizing …
based transfer learning method in speech/image recognition and classification utilizing …
Explainable AI for CNN-LSTM Network in PCG-Based Valvular Heart Disease Diagnosis
C Divakar, R Harsha, K Radha, DV Rao… - … on Cloud Computing …, 2024 - ieeexplore.ieee.org
Globally, valvular heart diseases (VHDs) account for a major portion of deaths and illnesses.
An accurate and timely identification of VHDs is essential for directing proper treatment and …
An accurate and timely identification of VHDs is essential for directing proper treatment and …
An Approach to Detect CAD with Full Confidence Using Machine Learning Techniques
S Behera, IS Misra - … on Circuits, Power and Intelligent Systems …, 2023 - ieeexplore.ieee.org
The main aim of this paper is to detect the Coronary Artery Disease (CAD) from the
phonocardiogram (PCG) signals of human heart sounds using different machine learning …
phonocardiogram (PCG) signals of human heart sounds using different machine learning …