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[HTML][HTML] Deep learning methods for heart sounds classification: A systematic review
W Chen, Q Sun, X Chen, G ** review
Background The field of precision medicine endeavors to transform the healthcare industry
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
Heart sound classification plays a vital role in the early detection of cardiovascular disorders,
especially for small primary health care clinics. Despite that much progress has been made …
especially for small primary health care clinics. Despite that much progress has been made …
Classification of heart sound signals using a novel deep WaveNet model
Background and objectives The high mortality rate and increasing prevalence of heart valve
diseases globally warrant the need for rapid and accurate diagnosis of such diseases …
diseases globally warrant the need for rapid and accurate diagnosis of such diseases …
Deep learning in cardiology
P Bizopoulos, D Koutsouris - IEEE reviews in biomedical …, 2018 - ieeexplore.ieee.org
The medical field is creating large amount of data that physicians are unable to decipher
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
InfusedHeart: A novel knowledge-infused learning framework for diagnosis of cardiovascular events
In the undertaken study, we have used a customized dataset termed “Cardiac-200” and the
benchmark dataset “PhysioNet.” which contains 1500 heartbeat acoustic event samples …
benchmark dataset “PhysioNet.” which contains 1500 heartbeat acoustic event samples …
Empirical analysis of machine learning algorithms on imbalance electrocardiogram based arrhythmia dataset for heart disease detection
Living beings are subjected to many hazards during their course of life. Owing to high
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
A review of computer‐aided heart sound detection techniques
S Li, F Li, S Tang, W **ong - BioMed research international, 2020 - Wiley Online Library
Cardiovascular diseases have become one of the most prevalent threats to human health
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
Phonocardiographic sensing using deep learning for abnormal heartbeat detection
Deep learning-based cardiac auscultation is of significant interest to the healthcare
community as it can help reducing the burden of manual auscultation with automated …
community as it can help reducing the burden of manual auscultation with automated …
[HTML][HTML] Classification of heart sounds using convolutional neural network
F Li, H Tang, S Shang, K Mathiak, F Cong - Applied Sciences, 2020 - mdpi.com
Featured Application Combining of multi-features extracted manually and convolutional
neural network classifier for automatic heart sounds classification. Abstract Heart sounds …
neural network classifier for automatic heart sounds classification. Abstract Heart sounds …