Results 41 to 50 of about 4,885 (281)

Automatic Segmentation and Classification of Heart Sounds Using Modified Empirical Wavelet Transform and Power Features

open access: yesApplied Sciences, 2020
A system for the automatic classification of cardiac sounds can be of great help for doctors in the diagnosis of cardiac diseases. Generally speaking, the main stages of such systems are (i) the pre-processing of the heart sound signal, (ii) the ...
Pedro Narváez   +2 more
doaj   +1 more source

HeartWave: A Multiclass Dataset of Heart Sounds for Cardiovascular Diseases Detection

open access: yesIEEE Access, 2023
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

Heartbeat Sound Signal Classification Using Deep Learning

open access: yesSensors, 2019
Presently, most deaths are caused by heart disease. To overcome this situation, heartbeat sound analysis is a convenient way to diagnose heart disease. Heartbeat sound classification is still a challenging problem in heart sound segmentation and feature ...
Ali Raza   +5 more
doaj   +1 more source

Design of Abnormal Heart Sound Recognition System Based on HSMM and Deep Neural Network

open access: yesMedical Devices: Evidence and Research, 2022
Hai Yin,1 Qiliang Ma,2 Junwei Zhuang,1 Wei Yu,1 Zhongyou Wang3 1School of Biomedical Engineering and Medical Imaging, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People’s Republic of China; 2School of ...
Yin H, Ma Q, Zhuang J, Yu W, Wang Z
doaj  

DIAGNOSIS OF ARRHYTHMIA DISEASES USING HEART SOUNDS AND ECG SIGNALS

open access: yesРоссийский кардиологический журнал, 2014
This paper presents a novel method for the detection of Arrhythmia diseases using both heart sounds and ECG signals. This automated classification and analysis system is aimed to assist the cardiologist to make the diagnosis faster and more efficient ...
V. Kalaivani
doaj   +1 more source

A Novel Cardiac Auscultation Monitoring System Based on Wireless Sensing for Healthcare

open access: yesIEEE Journal of Translational Engineering in Health and Medicine, 2018
Heart sounds deliver vital physiological and pathological evidence about health. Wireless cardiac auscultation offers continuous cardiac monitoring of an individual without 24*7 manual healthcare care services.
Haoran Ren   +4 more
doaj   +1 more source

Automatic segmentation of heart sound signals using hidden markov models [PDF]

open access: yes, 2005
The monitoring of respiration rates using impedance plethysmography is often confused by cardiac activity. This paper proposes using the phonocardiogram as an alternative, since the process of respiration affects heart sounds. As part of this research, a
Ricke, Anthony D.   +5 more
core   +1 more source

Denoising and segmentation of the second heart sound using matching pursuit [PDF]

open access: yes, 2012
We propose a denoising and segmentation technique for the second heart sound (S2). To denoise, Matching Pursuit (MP) was applied using a set of non-linear chirp signals as atoms. We show that the proposed method can be used to segment the phonocardiogram
M. D. Plumbley   +14 more
core   +1 more source

An open access database for the evaluation of heart sound algorithms [PDF]

open access: yes, 2016
International audienceIn the past few decades, analysis of heart sound signals (i.e., the phonocardiogram or PCG),especially for automated heart sound segmentation and classification, has been widely studied and hasbeen reported to have the potential ...
Dieterlen, Alain   +2 more
core   +3 more sources

Key techniques and challenges for processing of heart sound signals

open access: yes, 2021
Recently, new advances and emerging technologies in healthcare and medicine have been growing rapidly, allowing for automatic disease diagnosis. Healthcare technology advances entail monitoring devices and processing signals.
Ray, K.   +20 more
core   +2 more sources

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