Results 251 to 260 of about 4,885 (281)

SEGMENTATION OF HEART SOUNDS AND HEART MURMURS

Journal of Mechanics in Medicine and Biology, 2008
Heart murmurs are often the first signs of pathological changes of the heart valves, and are usually found during auscultation in primary health care. Many pathological conditions of the cardiovascular system cause murmurs and aberrations in heart sounds.
L. HAMZA CHERIF, S. M. DEBBAL, F. BEREKSI-REGUIG   +2 more
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Heart sound segmentation algorithm based on heart sound envelogram

Computers in Cardiology 1997, 2002
Desribes the development of a segmentation algorithm which separates the heart sound signal into four parts: the first heart sound, the systole, the second heart sound and the diastole. The segmentation of phonocardiogram (PCG) signals is the first step of analysis and the most important procedure in the automatic diagnosis of heart sounds.
H. Liang, S. Lukkarinen, I. Hartimo
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First Heart Sound Detection for Phonocardiogram Segmentation

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
This paper presents an algorithm for accurate and improved detection of the first heart sound S1for heart sound cardiac cycle segmentation under noisy environments. The proposed algorithm integrates an S1/S2selection step and an S1identification step. An adaptive sub-level tracking algorithm based on wavelet transform is proposed to separate the S1and ...
P, Wang, Y, Kim, L, Ling, C, Soh
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An adaptive approach to abnormal heart sound segmentation

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
Heart sound is one of the significant bio-signals to diagnose certain cardiac anomalies. Aiming to provide an automatic heart sounds analysis to medical professionals, we present a method for heart sound segmentation based on the signal's simplicity and strength.
Dinesh K. Kumar, Paulo Carvalho 0001, Manuel Antunes, Rui Pedro Paiva, Jorge Henriques   +4 more
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On the Impact of Synchronous Electrocardiogram Signals for Heart Sounds Segmentation

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023
In this paper we study the heart sound segmentation problem using Deep Neural Networks. The impact of available electrocardiogram (ECG) signals in addition to phonocardiogram (PCG) signals is evaluated. To incorporate ECG, two different models considered, which are built upon a 1D U-net - an early fusion one that fuses ECG in an early processing stage,
Aníbal Silva, Rafael Teixeira, Ricardo Fontes-Carvalho, Miguel T. Coimbra, Francesco Renna   +4 more
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Heart sound segmentation using fractal decomposition

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
In order to assist cardiac diagnosis by phonocardiography, the automated identification of fundamental heart sounds for heart beat segmentation in a cardiac cycle plays a significant role in signal processing. Recent advancements in signal processing have also shown the potential of multifractality in biomedical applications.
Rijil Thomas, Ling Lieng Hsi, Cheong Boon Soh, Erry Gunawan   +3 more
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Segmentation of heart sounds based on dynamic clustering

Biomedical Signal Processing and Control, 2012
Abstract The heart sound signal is first separated into cycles, where the cycle detection is based on an instantaneous cycle frequency. The heart sound data of one cardiac cycle can be decomposed into a number of atoms characterized by timing delay, frequency, amplitude, time width and phase.
Hong Tang 0001, Ting Li 0002, Tianshuang Qiu, Yongwan Park   +3 more
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Heart sound segmentation based on homomorphic filtering

Perfusion, 2014
Background: Phonocardiography, the digital recording of heart sounds, is becoming increasingly popular as a primary detection system for diagnosing heart disorders and is relatively inexpensive. The electrocardiogram (ECG) is often used when recording the phonocardiogram in order to help identify the systolic ...
K, Hassani, K, Bajelani, M, Navidbakhsh, Dj, Doyle, F, Taherian   +4 more
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Convolutional Neural Networks for Heart Sound Segmentation

2018 26th European Signal Processing Conference (EUSIPCO), 2018
In this paper, deep convolutional neural networks are used to segment heart sounds into their main components. The proposed method is based on the adoption of a novel deep convolutional neural network architecture, which is inspired by similar approaches used for image segmentation.
Francesco Renna, Jorge Oliveira 0002, Miguel T. Coimbra   +2 more
openaire   +1 more source

Heart Sound Segmentation in Noisy Environments

2013
This paper presents a methodological framework for the phonocardiographic signal segmentation in telemedicine environments. Framework includes a two-stage noise analysis (high frequency components detection and temporal and spectral periodicity signatures) and heart cycle duration estimation from cyclic frequency spectrograms.
Cristian Castro Hoyos, Santiago Murillo Rendón, César Germán Castellanos-Domínguez   +2 more
openaire   +1 more source