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An enhanced ARIMA model for EEG classification

Published: 11 April 2022 Publication History
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References

[1]
Guo Yao. Research on EEG signal recognition based on machine learning [D]. Jinan University, 2019
[2]
Zhao longhui, Li Li, Chen Yihui, Lin shirou. Classification method of motor imagery EEG signals based on deep convolution network [J]. Industrial control computer, 2021,34 (06): 103-106
[3]
Zhu Qihui. Structural design and control of lower limb rehabilitation robot based on EEG signal [D]. Nanjing University of Aeronautics and Astronautics, 2020
[4]
Zhou Xiaobo,Zou Renling,Huang Xiayang. Single upper limb functional movements decoding from motor imagery EEG signals using wavelet neural network[J]. Biomedical Signal Processing and Control,2021,70:
[5]
Eduardo nebot. Robotics – from automation to intelligent systems [J]. Engineering, 2018,4 (04): 40-46
[6]
Xie songyun, Zhang Zhenzhong, Yang Jinxiao, Research and evaluation of some processing methods of EEG signals [J]. Computer simulation, 2007, 24 (2): 326-330
[7]
Xu Baoguo, song Aiguo. EEG signal recognition method based on wavelet packet transform and cluster analysis [J]. Journal of instrumentation, 2009, 030 (001): 25-28
[8]
Li Chunsheng, Jiao Haitao, Liu Peng, Liu Xiaogang. Improvement and application of classification algorithm based on C4.5 decision tree [J]. Computer technology and development, 2020,30 (05): 185-189
[9]
Han cunge, ye qiusun. Research and improvement of C4.5 algorithm in decision tree classification algorithm [J]. Computer system application, 2019,28 (06): 198-202
[10]
Selvakumari RS, Mahalakshmi M (2019) RETRACTED ARTICLE: epileptic seizure detection by analyzing high dimensional phase space via Poincaré section. Multidimens Syst Signal Process 30(2):1029
[11]
Pu Haikun, Gao Xin, sang Xin. Research and implementation of data mining algorithm based on C4.5 [J]. Science and technology innovation, 2021 (23): 55-56
[12]
Sharmila A, Geethanjali P (2016) DWT based detection of epileptic seizure from EEG signals using naive Bayes and k-NN classifiers. IEEE Access 4:7716–7727
[13]
Dessouky MM, Elrashidy MA (2016) Feature extraction of the Alzheimer's disease images using different optimization algorithms. J Alzheimers Dis Parkinsonism 6:230
[14]
Rajaguru H (2017) Sparse PCA and soft decision tree classifiers for epilepsy classification from EEG signals. Int Conf Electron Commun Aerosp Technol ICECA, pp. 581–584
[15]
Zhao longhui, Li Li, Chen Yihui, Lin shirou. Classification method of motor imagery EEG signals based on deep convolution network [J]. Industrial control computer, 2021,34 (06): 103-106
[16]
Qin Jing, sun fali, Hui Fang, Wang Zumin, Gao Bing, Ji Changqing. Overview of key technologies and applications of wearable EEG devices [J / OL]. Computer applications: 1-7 [2021-10-24] http://kns.cnki.net/kcms/detail/51.1307.TP.20210927.2045.034.html.
[17]
Rahman, M.M., Chowdhury, M.A. & Fattah, S.A. An efficient scheme for mental task classification utilizing reflection coefficients obtained from autocorrelation function of EEG signal. Brain Inf. 5, 1–12 (2018).
[18]
Baccalá LA, Sameshima K (2014) Brain connectivity. In: Sameshima K, Baccalá LA (eds) Methods in brain connectivity inference through multivariate time series analysis. CRC Press, Boca Raton, pp 1–9
[19]
Quinlan JR (1986) Induction of decision trees. Mach Learn 1(1):81–106
  1. An enhanced ARIMA model for EEG classification

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    cover image ACM Conferences
    WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
    December 2021
    541 pages
    ISBN:9781450391870
    DOI:10.1145/3498851
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    Published: 11 April 2022

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    Author Tags

    1. Brain electrical identification
    2. Machine learning
    3. human-computer interaction

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    Funding Sources

    • Central government guidance for local science and technology development funds
    • Humanity and Social Science Foundation of the Ministry of Education of China
    • Zhejiang Provincial Social Science Fund
    • Zhejiang Provincial Educational Science Scheme 2021
    • National Natural Science Foundation of China Grant
    • The Hebei Natural Science Foundation
    • Hebei Academic of Science Technology Scheme
    • Zhejiang Provincial Natural Science Fund

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    WI-IAT '21
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    WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence
    December 14 - 17, 2021
    VIC, Melbourne, Australia

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