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Classification of Heart Sounds Based on Convolutional Neural Network

2018
In this paper, we present a new method to categorize the heart sound signals into Normal, Murmur, Extra Heart Sound and Artifact with Convolutional Neural Network (CNN) model. The experimental dataset are from the PASCAL heart sound classification workshop, 2011. Our method mainly contains three steps as follows.
Tianya Li, Chunmei Qing, Xiang Tian 0003
openaire   +1 more source

Heart sound classification with signal instant energy and stacked autoencoder network

Biomedical Signal Processing and Control, 2021
Ă–mer Deperlioglu
exaly  

Research of heart sound classification using two-dimensional features

Biomedical Signal Processing and Control, 2023
Junbin Zang   +2 more
exaly  

Assisting Heart Valve Diseases Diagnosis via Transformer-Based Classification of Heart Sound Signals

Electronics (Switzerland), 2023
Xiaobo Zhao, Yingbang Yao, Tao Tao
exaly  

Exploring the impact of noise and degradations on heart sound classification models

Biomedical Signal Processing and Control, 2023
Davoud Shariat Panah   +2 more
exaly  

Automatic pediatric congenital heart disease classification based on heart sound signal

Artificial Intelligence in Medicine, 2022
Weize Xu, Jingjing Ye, Haomin Li
exaly  

Heart Sound Classification Using Deep Learning Techniques Based on Log-mel Spectrogram

Circuits, Systems, and Signal Processing, 2022
Minh Tuan Nguyen, Jin H Huang
exaly  

Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models

Applied Sciences (Switzerland), 2023
Keun-Chang Kwak, Kwak Keun-Chang
exaly  

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