A comprehensive survey on heart sound analysis in the deep learning era

Z Ren, Y Chang, TT Nguyen, Y Tan… - IEEE Computational …, 2024 - ieeexplore.ieee.org
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …

A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks

W Zeng, J Yuan, C Yuan, Q Wang, F Liu… - Artificial Intelligence …, 2021 - Springer
Phonocardiogram (PCG) plays an important role in evaluating many cardiac abnormalities,
such as the valvular heart disease, congestive heart failure and anatomical defects of the …

Automatic detection of heart valve disorders using Teager–Kaiser energy operator, rational-dilation wavelet transform and convolutional neural networks with PCG …

W Zeng, B Su, C Yuan, Y Chen - Artificial Intelligence Review, 2023 - Springer
The heart sound signals (phonocardiogram, PCG) have been for decades a fundamental
diagnostic tool to detect a potential cardiovascular pathology in clinical practice. Due to the …

Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning

W Zeng, Z Lin, C Yuan, Q Wang, F Liu… - Artificial Intelligence …, 2021 - Springer
Heart valve disorders (HVDs) are the major causes of cardiovascular diseases (CVD), which
may be detected at the early stage using routine auscultation examination. The …

Phonocardiogram: A robust algorithm for generating synthetic signals and comparison with real life ones

PT Kapen, M Youssoufa, SUK Kouam, M Foutse… - … Signal Processing and …, 2020 - Elsevier
The work presented in this paper aims to develop and implement a robust algorithm for
generating synthetic phonocardiogram (PCG) signals based on characteristics obtained …

Thrilling AI–A novel, signal-based digital biomarker for diagnosing canine heart diseases

P Bisgin, T Strube, J Henze, I Ljungvall… - Current Directions in …, 2022 - degruyter.com
Auscultation methods enable non-invasive diagnosis of diseases, eg of the heart, based on
heartbeat sounds. Regular, early examinations using machine learning techniques could …

Abnormal Heart Sound Recognition using SVM and LSTM Models in Real-time Mode

A Moy'awiah, A Nasrawi, AAR Bsoul, AA Saifan - 2024 - researchsquare.com
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 …

Measurement for Carbon Micro and Nanoparticles by Single Particle ICP Mass Spectrometry (Sp-Icp-Ms): Application to Particle Released from Textile

B Cordeiro-Brachi, E Cruzado-Tafur, FB Barbier… - Available at SSRN … - papers.ssrn.com
The occurrence of carbon based micro and nano-particles, both from natural and
anthropogenic origin deserves proper attention in order to evaluate their fate to human …

Sheet-type device for unconstrained heart sound measurement and white noise reduction by Wiener filter

K Nishio, T Kaburagi, Y Hamada… - 2020 Asia-Pacific …, 2020 - ieeexplore.ieee.org
Cardiac information is crucial in the diagnosis of cardiac diseases. Phonocardiography is
widely used to obtain cardiac information at a medical institution. In this paper, we propose a …

Cardiac Auscultation Using Artificial Intelligence on Different Devices

N Turner, S Barton - Journal of Student Research, 2023 - jsr.org
Having to pay to go to a doctor's office and pay for a medical professional to use a
stethoscope is costly and inconvenient. A mobile solution that is cheap and uses a medium …