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Works cited by this work

10 works

Work: Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface

  1. Comparative Analysis of the Results of EMG Signal Classification Based on Machine Learning Algorithms

    Adilbek Turgunov, Kudratjon Zohirov, Rashid Nasimov +1

    ArticleMuscle activation and electromyography studies2021 International Conference on Information Science and Communications Technologies (ICISCT)20218 citations
    ABI

  2. Defining the Features of EMG Signals on the Forearm of the Hand Using SVM, RF, k-NN Classification Algorithms

    Adilbek Turgunov, Kudratjon Zohirov, Alisher Ganiyev +1

    ArticleMuscle activation and electromyography studies20208 citations
    ABI

  3. A new dataset for the detection of hand movements based on the SEMG signal

    Adilbek Turgunov, Kudratjon Zohirov, Bobur Muhtorov

    ArticleEEG and Brain-Computer Interfaces20207 citations
    ABI

  4. Using Different Features of Signal in EMG Signal Classification

    Adilbek Turgunov, Kudratjon Zohirov, Shamiljon Rustamov +1

    ArticleMuscle activation and electromyography studies2020 International Conference on Information Science and Communications Technologies (ICISCT)20206 citations
    ABI

  5. Feature reduction and selection for EMG signal classification

    Angkoon Phinyomark, Pornchai Phukpattaranont, Chusak Limsakul

    Article20124 citations
    ABI

  6. Brain–computer interfaces for communication and control

    Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland +2

    Review article20023 citations
    ABI

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    Other1 citations
    ABI

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    Other1 citations
    ABI

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    Other1 citations
    ABI

  10. Untitled

    Other1 citations
    ABI