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Deep learning models for segmenting phonocardiogram signals: a comparative study. [PDF]
PLoS OneAlquran H +3 more
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Doppler signal analysis of the tricuspid valve in healthy fetuses during the first trimester: a cohort study. [PDF]
Rev Bras Ginecol ObstetSouza GFA +5 more
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The moment segmentation analysis of heart sound pattern
Computer Methods and Programs in Biomedicine, 2010This paper presents two new ideas. The first one is to apply the Viola integral waveform method to analyze the heart sounds recorded by an electric stethoscope, and the multi-scale moment analysis is proposed to locate each cycle of heart sounds. A fast algorithm for calculating characteristic waveform (CW) and characteristic moment waveform (CMW) of ...
Zhonghong Yan +2 more
exaly +3 more sources
Logistic Regression-HSMM-based Heart Sound Segmentation
IEEE Transactions on Biomedical Engineering, 2015The identification of the exact positions of the first and second heart sounds within a phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic analysis of heart sound recordings, allowing for the classification of pathological events.
Lionel Tarassenko, Gari D Clifford
exaly +3 more sources
Deep Convolutional Neural Networks for Heart Sound Segmentation
IEEE Journal of Biomedical and Health Informatics, 2019This paper studies the use of deep convolutional neural networks to segment heart sounds into their main components. The proposed methods are based on the adoption of a deep convolutional neural network architecture, which is inspired by similar approaches used for image segmentation. Different temporal modeling schemes are applied to the output of the
Francesco Renna +2 more
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Heart sound segmentation by hidden Markov models
IEE Seminar Medical Applications of Signal Processing, 2002 The segmentation of phonocardiogram (PCG) signals is the first step in the automatic diagnosis based on heart sounds. The majority of attempts to segment PCG signals depend on a reference provided by simultaneous electrocardiogram recordings. The algorithm proposed in this paper is based on the analysis of the PCG signal only and does not require an ...
Romero-Vivas, E., White, P.R.
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Segmentation of Heart Sound Using Double-Threshold
2013 Fifth International Conference on Measuring Technology and Mechatronics Automation, 2013Segmentation of heart sound signal is the first step of analysis and automatic diagnosis of heart sound. Although most existing heart sound segmentation methods perform well in normal signal, they usually have no effect on abnormal signal. In this paper, a method based on double-threshold is proposed for robust segmentation of heart sound. Firstly, the
null Chen Jie, null Hou Hailiang
exaly +2 more sources
A robust heart sound segmentation algorithm for commonly occurring heart valve diseases
Journal of Medical Engineering and Technology, 2008The first step towards detection of valvular heart diseases from heart sound signal (phonocardiogram) is segmentation. A segmentation algorithm provides the location of the first and second heart sounds which in turn helps to locate and analyse the murmur.
Goutam Saha
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Segmentation and classification of heart sounds
Canadian Conference on Electrical and Computer Engineering, 2005., 2006An algorithm for segmentation of heart sounds (HSs) into a single cardiac cycle (Sl-Systole-S2-Diastole) using homomorphic filtering and k-means clustering and a three way classification of heart sounds into normal (N), systolic murmur (S), and diastolic murmur (D), based on neural networks is developed.
C.N. Gupta +4 more
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