AIMC Topic: Phonocardiography

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Portable ECG and PCG wireless acquisition system and multiscale CNN feature fusion Bi-LSTM network for coronary artery disease diagnosis.

Computers in biology and medicine Jun 1, 2025
Coronary artery disease (CAD) is a major cause of mortality, especially among aging populations, making timely and accurate diagnosis essential. In this work, a portable wireless device powered by artificial intelligence for CAD detection is proposed...
Humans Neural Networks, Computer Male Electrocardiography Signal Processing, Computer-Assisted Coronary Artery Disease Wireless Technology Phonocardiography
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Stratification of Heart Sounds Morphology Through Unsupervised Learning.

Studies in health technology and informatics Aug 22, 2024
The use of heart sounds for the assessment of the hemodynamic condition of the heart in telemonitoring applications is object of wide research at date. Many different approaches have been tried out for the analysis of the first (S1) and second (S2) h...
Humans Unsupervised Machine Learning Signal Processing, Computer-Assisted Heart Sounds Phonocardiography
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Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography.

Studies in health technology and informatics Jun 29, 2022
This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network (CNN). The comparison is ...
Humans Neural Networks, Computer Deep Learning Heart Diseases Heart Sounds Phonocardiography
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Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography.

Studies in health technology and informatics Jan 1, 2018
This paper presents a method for exploring structural risk of any artificial intelligence-based method in bioinformatics, the A-Test method. This method provides a way to not only quantitate the structural risk associated with a classification method...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Risk Assessment Computational Biology Heart Sounds Phonocardiography
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Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network.

Studies in health technology and informatics Jan 1, 2017
This paper presents results of a study on the applicability of the intelligent phonocardiography in discriminating between Ventricular Spetal Defect (VSD) and regurgitation of the atrioventricular valves. An original machine learning method, based on...
Humans Child Expert Systems Heart Septal Defects, Ventricular Phonocardiography
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