A spike denoising method combined principal component analysis with wavelet and ensemble empirical mode decomposition

被引：0
|
作者：
Zhou, Yijun [1 ]
Hu, Yifan [1 ]
Li, Mengmeng [1 ,2 ]
Yang, Lifang [1 ,2 ]
Shang, Zhigang [1 ,2 ]
机构：
[1] School of Electrical Engineering, Zhengzhou University, Zhengzhou,450001, China
[2] Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, Zhengzhou University, Zhengzhou,450001, China
来源：
Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering | 2020年 / 37卷 / 02期
关键词：
14;
D O I：
10.7507/1001-5515.201906048
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：271 / 279
相关论文
共 50 条
  • [1] An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet
    Yue, Yaru
    Chen, Chengdong
    Wu, Xiaoyuan
    Zhou, Xiaoguang
    [J]. IET SIGNAL PROCESSING, 2023, 17 (06)
  • [2] A novel denoising method based on Ensemble Empirical Mode Decomposition - Principle Component Analysis
    Feng Yang
    Huang Xiaodiao
    Chen Jie
    Hong Rongjing
    [J]. MECHANICAL COMPONENTS AND CONTROL ENGINEERING III, 2014, 668-669 : 1157 - 1161
  • [3] An EEG signal denoising method based on ensemble empirical mode decomposition and independent component analysis
    Sun, Huimin
    Cheng, Jun
    Ma, Zheng
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS), 2018, : 401 - 405
  • [4] Non-linear multivariate and multiscale monitoring and signal denoising strategy using Kernel Principal Component Analysis combined with Ensemble Empirical Mode Decomposition method
    Zvokelj, Matej
    Zupan, Samo
    Prebil, Ivan
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (07) : 2631 - 2653
  • [5] Complete Ensemble Empirical Mode Decomposition and Wavelet Algorithm Denoising Method for Bridge Monitoring Signals
    Yang, Bing-Chen
    Xu, Fang-Zhou
    Zhao, Yu
    Yao, Tian-Yun
    Hu, Hai-Yang
    Jia, Meng-Yi
    Zhou, Yong-Jun
    Li, Ming-Zhu
    [J]. BUILDINGS, 2024, 14 (07)
  • [6] Chiller sensor fault detection based on empirical mode decomposition threshold denoising and principal component analysis
    Mao, Qianjun
    Fang, Xi
    Hu, Yunpeng
    Li, Guannan
    [J]. APPLIED THERMAL ENGINEERING, 2018, 144 : 21 - 30
  • [7] Chaotic signal denoising method based on independent component analysis and empirical mode decomposition
    Wang Wen-Bo
    Zhang Xiao-Dong
    Wang Xiang-Li
    [J]. ACTA PHYSICA SINICA, 2013, 62 (05)
  • [8] Pulsar Signal Denoising Method Based on Empirical Mode Decomposition and Independent Component Analysis
    Wang, Lu
    Zhang, Shuang
    Lu, Fuguo
    [J]. 2018 CHINESE AUTOMATION CONGRESS (CAC), 2018, : 3218 - 3221
  • [9] Ocular artifact suppression from EEG using ensemble empirical mode decomposition with principal component analysis
    Patel, Rajesh
    Sengottuvel, S.
    Janawadkar, M. P.
    Gireesan, K.
    Radhakrishnan, T. S.
    Mariyappa, N.
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2016, 54 : 78 - 86
  • [10] An Iterative Method of Ensemble Empirical Mode Decomposition for Enhanced ECG Signal Denoising
    Gandham, Sreedevi
    Anuradha, B.
    [J]. PROCEEDINGS OF THE 2016 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), 2016, : 1477 - 1480
12345