Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features [PDF]
Sensors, 2020 Congenital heart disease (CHD) is a heart disorder associated with the devastating indications that result in increased mortality, increased morbidity, increased healthcare expenditure, and decreased quality of life. Ventricular Septal Defects (VSDs) and
Sumair Aziz +2 more
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Heart Murmur Detection in Phonocardiogram Data Leveraging Data Augmentation and Artificial Intelligence [PDF]
DiagnosticsBackground/Objectives: With a 17.9 million annual mortality rate, cardiovascular disease is the leading global cause of death. As such, early detection and disease diagnosis are critical for effective treatment and symptom management.
Melissa Valaee, Shahram Shirani
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Machine learning-based screening of heart failure using the integrated features of electrocardiogram and phonocardiogram: a multicenter study in China [PDF]
Frontiers in Cardiovascular MedicineBackgroundsHeart failure (HF) is a major health concern associated with poor prognosis, and there is an urgent clinical need for an easy and accurate method for screening HF.
Junjie Bian +8 more
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Rheumatic Heart Disease Screening Based on Phonocardiogram [PDF]
Sensors, 2021 Rheumatic heart disease (RHD) is one of the most common causes of cardiovascular complications in developing countries. It is a heart valve disease that typically affects children. Impaired heart valves stop functioning properly, resulting in a turbulent
Melkamu Hunegnaw Asmare +4 more
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Phonocardiogram Signal Based Multi-Class Cardiac Diagnostic Decision Support System
IEEE Access, 2021 A Phonocardiogram (PCG) signal represents murmurs and sounds signals made by vibrations caused for the period of a cardiac cycle. Acoustic wave generated through the beat of the cardiac cycle propagates through the chest wall.
Shamik Tiwari +2 more
exaly +3 more sources
Balancing Energy Consumption and Detection Accuracy in Cardiovascular Disease Diagnosis: A Spiking Neural Network-Based Approach with ECG and PCG Signals [PDF]
SensorsElectrocardiogram (ECG) and phonocardiogram (PCG) signals are widely used in the early prevention and diagnosis of cardiovascular diseases (CVDs) due to their ability to accurately reflect cardiac conditions from different physiological perspectives and ...
Guihao Ran +4 more
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Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning [PDF]
Frontiers in PhysiologyThis study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection fraction (HFpEF), which plays a critical role in the ...
Yineng Zheng +6 more
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Digital Health, 2023 Background We have shown classical cardiac auscultation was superior to remote auscultation. We developed a phonocardiogram system to visualize sounds in remote auscultation.
Takanobu Hirosawa +5 more
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023 In order to diagnose a range of cardiac conditions, it is important to conduct an accurate evaluation of either phonocardiogram (PCG) and electrocardiogram (ECG) data.
Swarajya Madhuri Rayavarapu +4 more
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Micromachines, 2022 Introduction: Hemorrhagic shock (HS) is a severe medical emergency. Early diagnosis of HS is important for clinical treatment. In this paper, we report a flexible material-based heart sound monitoring device which can evaluate the degree of HS through a ...
Yan Chen +9 more
doaj +1 more source