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A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2023
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.
Junxin Chen   +7 more
semanticscholar   +1 more source

DS-CNN: Dual-Stream Convolutional Neural Networks-Based Heart Sound Classification for Wearable Devices

IEEE transactions on consumer electronics, 2023
Cardiovascular diseases (CVDs) is considered a serious public health problem due to the uncertainty of its onset. Consuming wearable devices have increasing popularities for healthcare monitoring, and many of them are capable of continuous monitoring and
Zhihuan Guo   +5 more
semanticscholar   +1 more source

Multi-Feature Decision Fusion Network for Heart Sound Abnormality Detection and Classification

IEEE journal of biomedical and health informatics, 2023
The heart sound reflects the movement status of the cardiovascular system and contains the early pathological information of cardiovascular diseases.
Haobo Zhang   +5 more
semanticscholar   +1 more source

Compressed Sensing Framework for Heart Sound Acquisition in Internet of Medical Things

IEEE Transactions on Industrial Informatics, 2022
For continuous monitoring of cardiovascular diseases, this article presents a novel framework for heart sound acquisition. The proposed approach uses compressed sensing for signal sampling, and a two-stage reconstruction is developed for reconstruction ...
Junxin Chen   +4 more
semanticscholar   +1 more source

Automatic pediatric congenital heart disease classification based on heart sound signal

Artif. Intell. Medicine, 2022
Congenital heart diseases (CHD) are the most common birth defects, and the early diagnosis of CHD is crucial for CHD therapy. However, there are relatively few studies on intelligent auscultation for pediatric CHD, due to the fact that effective ...
Weize Xu   +9 more
semanticscholar   +1 more source

Heart sound classification based on log Mel-frequency spectral coefficients features and convolutional neural networks

Biomedical Signal Processing and Control, 2021
In view of the important role of heart sound signals in diagnosing and preventing congenital heart disease, a novel method about feature extraction and classification of heart sound signals was put forward in this study.
Haoran Kui   +4 more
semanticscholar   +1 more source

Heart sound simulator

Medical & Biological Engineering & Computing, 1995
41594
Tran, T, Jones, NB, Fothergill, JC
openaire   +3 more sources

Automated Heart Sound Activity Detection From PCG Signal Using Time–Frequency-Domain Deep Neural Network

IEEE Transactions on Instrumentation and Measurement, 2022
The phonocardiogram (PCG) signal deciphers the mechanical activity of the heart, and it consists of the fundamental heart sounds (FHSs) (S1 and S2), murmurs, and other associated sounds (S3 and S4).
S. Ghosh   +4 more
semanticscholar   +1 more source

Sound mind vs sound heart

British Journal of Hospital Medicine, 2016
Depressive and anxiety disorders have both have been associated with an increased risk of cardiovascular disease. This article highlights the multifactorial and bidirectional interaction between cardiovascular diseases, depression and anxiety, and the need for early assessment, diagnosis and intervention.
Baljit K, Upadhyay   +4 more
openaire   +2 more sources

Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings

Artif. Intell. Medicine, 2022
Cardiac auscultation is an essential point-of-care method used for the early diagnosis of heart diseases. Automatic analysis of heart sounds for abnormality detection is faced with the challenges of additive noise and sensor-dependent degradation.
F. Azam   +4 more
semanticscholar   +1 more source

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