Results 21 to 30 of about 29,813 (248)
Entropy, 2021 Heart sound signals reflect valuable information about heart condition. Previous studies have suggested that the information contained in single-channel heart sound signals can be used to detect coronary artery disease (CAD). But accuracy based on single-
Tongtong Liu +10 more
doaj +1 more source
Biomedical Engineering Advances, 2023 Time-Frequency Distributions (TFDs) support the heart sound characterisation and classification in early cardiac screening. However, despite the frequent use of TFDs in signal analysis, no comprehensive study has been conducted to compare their ...
Xinqi Bao +6 more
doaj +1 more source
IEEE Access, 2023 This paper proposes an intelligent stethoscope system that synchronously displays the electrocardiogram (ECG) and heart sound. The instrument, which accelerates auscultation, can be used for the diagnosis of valvular heart disease (VHD) for clinical ...
Shuenn-Yuh Lee +5 more
doaj +1 more source
Transfer Learning Models for Detecting Six Categories of Phonocardiogram Recordings
Journal of Cardiovascular Development and Disease, 2022 Background and aims: Auscultation is a cheap and fundamental technique for detecting cardiovascular disease effectively. Doctors’ abilities in auscultation are varied.
Miao Wang +5 more
doaj +1 more source
The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach
Sensors, 2022 Deep learning techniques are the future trend for designing heart sound classification methods, making conventional heart sound segmentation dispensable.
Xinqi Bao +2 more
doaj +1 more source
Heart Sound Classification via Sparse Coding [PDF]
2016 Computing in Cardiology Conference (CinC), 2016 Introduction: The aim of the Physionet/CinC Challenge 2016 is to automatically classify heart sound recordings as normal or abnormal. The Challenge provides 3,153 labeled audio recordings taken from a single precordial location, as well as Springer's state-of-the-art beat segmentation algorithm.
Bradley M. Whitaker, David V. Anderson
openaire +1 more source
A System for Heart Sounds Classification
PLoS ONE, 2014 The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution.
Gradolewski, Dawid +2 more
openaire +4 more sources
Heart sound classification from unsegmented phonocardiograms [PDF]
Physiological Measurement, 2017 Most algorithms for automated analysis of phonocardiograms (PCG) require segmentation of the signal into the characteristic heart sounds. The aim was to assess the feasibility for accurate classification of heart sounds on short, unsegmented recordings.PCG segments of 5 s duration from the PhysioNet/Computing in Cardiology Challenge database were ...
Langley, Philip, Murray, Alan
openaire +3 more sources
A Tensor Approach to Heart Sound Classification [PDF]
2016 Computing in Cardiology Conference (CinC), 2016 In the context of the PhysioNet/CinC 2016 Challenge, where a relatively large, labeled data set of phonocardiograms (PCGs) was made available, this work presents a mixed approach to the problem of its binary classification. Instead of laboriously selecting a set of PCG signal features that capture the fundamental differences between healthy and ...
openaire +1 more source
Heart Sound Signals Segmentation and Multiclass Classification
International Journal of Online and Biomedical Engineering (iJOE), 2020 The heart is the organ that pumps blood with oxygen and nutrients into all body organs by a rhythmic cycle overlapping between contraction and dilatation. This is done by producing an audible sound which we can hear using a stethoscope. Many are the causes affecting the normal function of this most vital organ.
Abdelhamid Bourouhou +3 more
openaire +2 more sources