Heart sound classification using signal processing and machine learning algorithms
According to global statistics and the world health organization (WHO), about 17.5 million people die each year from cardiovascular disease. In this paper, the heart sounds gathered by a stethoscope are analyzed to diagnose several diseases caused by ...
Yasser Zeinali+1 more
doaj
Blind Monaural Source Separation on Heart and Lung Sounds Based on Periodic-Coded Deep Autoencoder [PDF]
Auscultation is the most efficient way to diagnose cardiovascular and respiratory diseases. To reach accurate diagnoses, a device must be able to recognize heart and lung sounds from various clinical situations.
Kun-Hsi Tsai+8 more
semanticscholar +1 more source
HeartWave: A Multiclass Dataset of Heart Sounds for Cardiovascular Diseases Detection
The auscultation of heart sounds has proven advantageous for the early diagnosis of cardiovascular conditions. Various methods have been proposed for the automatic analysis of heart sounds to reduce subjectivity in diagnosis and alleviate physicians ...
Sami Alrabie, Ahmed Barnawi
doaj +1 more source
Algorithms for Automatic Analysis and Classification of Heart Sounds–A Systematic Review
Cardiovascular diseases currently pose the highest threat to human health around the world. Proper investigation of the abnormalities in heart sounds is known to provide vital clinical information that can assist in the diagnosis and management of ...
Amit Krishna Dwivedi+2 more
semanticscholar +1 more source
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring
One of the major causes of death all over the world is heart disease or cardiac dysfunction. These diseases could be identified easily with the variations in the sound produced due to the heart activity.
Muhammad E.H. Chowdhury+6 more
doaj +1 more source
Robust classification of heart valve sound based on adaptive EMD and feature fusion.
Cardiovascular disease (CVD) is considered one of the leading causes of death worldwide. In recent years, this research area has attracted researchers' attention to investigate heart sounds to diagnose the disease.
Weibo Wang+5 more
doaj +2 more sources
Heart energy signature spectrogram for cardiovascular diagnosis
A new method and application is proposed to characterize intensity and pitch of human heart sounds and murmurs. Using recorded heart sounds from the library of one of the authors, a visual map of heart sound energy was established.
Roy Douglas L+2 more
doaj +1 more source
A framework for automatic heart sound analysis without segmentation
Background A new framework for heart sound analysis is proposed. One of the most difficult processes in heart sound analysis is segmentation, due to interference form murmurs.
Tungpimolrut Kanokvate+3 more
doaj +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai+8 more
wiley +1 more source
The Assessment of Stent Effectiveness Using a Wearable Beamforming MEMS Microphone Array System
Studies involving turbulent flow have been carried out in many parts of the cardiovascular system, and it has been widely reported that turbulence related to stenosis (narrowing) of arteries creates audible sounds, which may be analyzed to yield ...
Metin Akay+8 more
doaj +1 more source