Deep Learning in Heart Sound Analysis: From Techniques to Clinical Applications [PDF]
Importance: Heart sound auscultation is a routinely used physical examination in clinical practice to identify potential cardiac abnormalities. However, accurate interpretation of heart sounds requires specialized training and experience, which limits ...
Qinghao Zhao +12 more
doaj +3 more sources
Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features [PDF]
The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a ...
Wei Chen +8 more
doaj +3 more sources
Learning Representations from Heart Sound: A Comparative Study on Shallow and Deep Models. [PDF]
Leveraging the power of artificial intelligence to facilitate an automatic analysis and monitoring of heart sounds has increasingly attracted tremendous efforts in the past decade.
Qian K +14 more
europepmc +2 more sources
Heart Sound Classification Network Based on Convolution and Transformer. [PDF]
Electronic auscultation is vital for doctors to detect symptoms and signs of cardiovascular diseases (CVDs), significantly impacting human health. Although progress has been made in heart sound classification, most existing methods require precise ...
Cheng J, Sun K.
europepmc +2 more sources
Heart sound classification plays a critical role in the early diagnosis of cardiovascular diseases. Although there have been many advances in heart sound classification in the last few years, most of them are still based on conventional segmented ...
Feng Li +4 more
doaj +2 more sources
Research on Segmentation and Classification of Heart Sound Signals Based on Deep Learning
The heart sound signal is one of the signals that reflect the health of the heart. Research on the heart sound signal contributes to the early diagnosis and prevention of cardiovascular diseases.
Yi He +5 more
doaj +2 more sources
Smartphone as an electronic stethoscope: factors influencing heart sound quality. [PDF]
Aims Smartphones are equipped with a high-quality microphone which may be used as an electronic stethoscope. We aim to investigate the factors influencing quality of heart sound recorded using a smartphone by non-medical users. Methods and results An app
Luo H +8 more
europepmc +2 more sources
Automated valvular heart disease detection using heart sound with a deep learning algorithm. [PDF]
Highlights • To diagnose valvular heart disease, heart sound analysis and echo are comparable.• Raw heart sound data without manual annotation was the input data in our model.• Our model outputs specific valvular heart disease diagnoses, not binary ...
Jiang Z +14 more
europepmc +2 more sources
Development of a Multi-Channel Wearable Heart Sound Visualization System. [PDF]
A multi-channel wearable heart sound visualization system based on novel heart sound sensors for imaging cardiac acoustic maps was developed and designed. The cardiac acoustic map could be used to detect cardiac vibration and heart sound propagation. The
Guo B +5 more
europepmc +2 more sources
Deep Learning for Heart Sound Abnormality of Infants: Proof-of-Concept Study of 1D and 2D Representations [PDF]
Introduction: Advanced identification and intervention for Congenital Heart Defects (CHDs) in pediatric populations are crucial, as approximately 1% of neonates worldwide present with these conditions. Traditional methods of diagnosing CHDs often rely on
Eashita Wazed, Jimin Lee, Hieyong Jeong
doaj +2 more sources

