A New Adaptive Wavelet Networks for ECG Recognition

机译：一种新型的心电信号识别自适应小波网络

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Recognition of electrocardiogram (ECG) is an important area in intensive care. Automatic detection & classification of cardiac arrhythmias is important for diagnosis of cardiac abnormalities. Based on the wavelet transform theory, the wavelet networks have been wildly used for signal representation and classification. In this article, a new adaptive wavelet networks with one perceptron has been introduced for ECG signal recognition. An improved initialization approach was introduced and the relation between the number of the hidden layers and the astringency of the network also has been found. The network has been used for distinction between the normal beats and the premature ventricular contractions and has obtained high performance. In present work the ECG data are taken from MIT- BIH Arrhythmia database.

机译：心电图（ECG）的识别是重症监护中的重要领域。心律失常的自动检测和分类对于诊断心脏异常非常重要。基于小波变换理论，小波网络已被广泛用于信号表示和分类。在本文中，一种带有一个感知器的新型自适应小波网络已被引入用于ECG信号识别。引入了一种改进的初始化方法，并且还发现了隐藏层数与网络收敛性之间的关系。该网络已被用于区分正常搏动和室性早搏，并获得了高性能。在目前的工作中，心电图数据取自MIT-BIH心律失常数据库。

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来源
《International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN)》|2006年|P.1919-1922|共4页
会议地点 Guilin(CN)
作者
Chunling Liu; Xu Wang;
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Institude of Biomedicine Engineering, Northeastern University, China No.127, Northeastern University, shenyang, liaoning, 110004 China;

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正文语种 eng
中图分类通信理论;
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1. The performance comparison of discrete wavelet neural network and discrete wavelet adaptive network based fuzzy inference system for digital modulation recognition [J] . E. Avci, D. Avci Expert systems with applications . 2008,第1a2期

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2. Deep-ECG: Convolutional Neural Networks for ECG biometric recognition [J] . Labati Ruggero Donida, Munoz Enrique, Piuri Vincenzo, Pattern recognition letters . 2019,第Sepa期

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3. Image recognition using adaptive fuzzy neural network based on lifting scheme of wavelet [J] . Chia-Nan Ko, Cheng-Ming Lee Artificial life and robotics . 2015,第4期

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4. PVC Recognition for Wearable ECGs Using Modified Frequency Slice Wavelet Transform and Convolutional Neural Network [C] . Zhongyao Zhao, Xingyao Wang, Zhipeng Cai, Computing in Cardiology Conference . 2019

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5. A wavelet-based approach to electrocardiogram (ECG) and phonocardiogram (PCG) subject recognition [D] . Fatemian, Seyedeh Zahra 2009

机译：基于小波的心电图（ECG）和心电图（PCG）主题识别方法
6. Adaptive Motion Artifact Reduction Based on Empirical Wavelet Transform and Wavelet Thresholding for the Non-Contact ECG Monitoring Systems [O] . Xiaowen Xu, Ying Liang, Pei He, 2019

机译：基于经验小波变换和小波阈值的非接触式心电监护系统自适应运动伪像减少
7. A Wavelet Adaptive Cancellation Algorithm Based on Multi-Inertial Sensors for the Reduction of Motion Artifacts in Ambulatory ECGs [O] . 2020

机译：一种基于多惯性传感器的小波自适应消除算法，用于减少动态心电图的运动伪影
8. Recognition of ECG Arrhythmias Using Artificial Neural Networks. [R] . Oezbay, Y., Karlik, B. 2001

机译：用人工神经网络识别心电图心律失常。

A New Adaptive Wavelet Networks for ECG Recognition

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