AIMC Topic: Heart Sounds

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Deep learning models for segmenting phonocardiogram signals: a comparative study.

PloS one Apr 14, 2025
Cardiac auscultation requires the mechanical vibrations occurring on the body's surface, which carries a range of sound frequencies. These sounds are generated by the movement and pulsation of different cardiac structures as they facilitate blood cir...
Algorithms Deep Learning Signal Processing, Computer-Assisted Humans Neural Networks, Computer Heart Sounds Phonocardiography
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Multiscale analysis of heart sound signals in the wavelet domain for heart murmur detection.

Scientific reports Mar 25, 2025
A heart murmur is an atypical sound produced by blood flow through the heart. It can indicate a serious heart condition, so detecting heart murmurs is critical for identifying and managing cardiovascular diseases. However, current methods for identif...
Phonocardiography Heart Sounds Heart Murmurs Algorithms Signal Processing, Computer-Assisted Support Vector Machine Humans Wavelet Analysis Heart Auscultation
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Abnormal heart sound recognition using SVM and LSTM models in real-time mode.

Scientific reports Mar 17, 2025
Cardiovascular diseases are non-communicable diseases that are considered the leading cause of death worldwide accounting for 17.9 million fatalities. Auscultation of heart sounds is the most common and valuable way of diagnosing heart diseases. Norm...
Humans Wavelet Analysis Neural Networks, Computer Algorithms Heart Sounds Support Vector Machine Phonocardiography Signal Processing, Computer-Assisted
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A comparative analysis of Constant-Q Transform, gammatonegram, and Mel-spectrogram techniques for AI-aided cardiac diagnostics.

Medical engineering & physics Feb 6, 2025
Cardiovascular diseases (CVDs) are the leading global cause of death, which requires the early and accurate detection of cardiac abnormalities. Abnormal heart sounds, indicative of potential cardiac problems, pose a challenge due to their low-frequen...
Neural Networks, Computer Artificial Intelligence Diagnosis, Computer-Assisted Humans Heart Sounds Phonocardiography Deep Learning Signal Processing, Computer-Assisted
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Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies.

PloS one Dec 31, 2024
This paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with...
Heart Sounds Support Vector Machine Humans Phonocardiography Decision Trees Algorithms Signal Processing, Computer-Assisted
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Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram.

IEEE journal of biomedical and health informatics Dec 5, 2024
Heart auscultation is a simple and inexpensive first-line diagnostic test for the early screening of heart abnormalities. A phonocardiogram (PCG) is a digital recording of an analog heart sound acquired using an electronic stethoscope. A computerized...
Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Heart Sounds Phonocardiography Humans
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Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection.

IEEE journal of biomedical and health informatics Sep 5, 2024
Ubiquitous sensing has been widely applied in smart healthcare, providing an opportunity for intelligent heart sound auscultation. However, smart devices contain sensitive information, raising user privacy concerns. To this end, federated learning (F...
Heart Auscultation Heart Sounds Adult Signal Processing, Computer-Assisted Humans Machine Learning Algorithms
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A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Heart sound analysis plays an important role in early detecting heart disease. However, manual detection requires doctors with extensive clinical experience, which increases uncertainty for the task, especially in medically underdeveloped areas. This...
Algorithms Deep Learning Signal Processing, Computer-Assisted Sound Spectrography Fourier Analysis Humans Neural Networks, Computer Heart Sounds
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The heart sound classification of congenital heart disease by using median EEMD-Hurst and threshold denoising method.

Medical & biological engineering & computing Aug 5, 2024
Heart sound signals are vital for the machine-assisted detection of congenital heart disease. However, the performance of diagnostic results is limited by noise during heart sound acquisition. A limitation of existing noise reduction schemes is that ...
Signal-To-Noise Ratio Heart Defects, Congenital Heart Sounds Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Humans
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Prediction of Left Ventricle Pressure Indices Via a Machine Learning Approach Combining ECG, Pulse Oximetry, and Cardiac Sounds: a Preclinical Feasibility Study.

Journal of cardiovascular translational research Jul 17, 2024
Heart failure (HF) is defined as the inability of the heart to meet body oxygen demand requiring an elevation in left ventricular filling pressures (LVP) to compensate. LVP increase can be assessed in the cardiac catheterization laboratory, but this ...
Ventricular Pressure Heart Sounds Phonocardiography Electrocardiography Machine Learning Heart Rate Disease Models, Animal Animals Oximetry Predictive Value of Tests Signal Processing, Computer-Assisted Stroke Volume Ventricular Function, Left Swine, Miniature Swine Feasibility Studies Heart Failure
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