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18 ta ish

Ish: Comparative Analysis of the Results of EMG Signal Classification Based on Machine Learning Algorithms

  1. Algorithm of Automatic Differentiation of Myocardial Infarction from Cardiomyopathy based on Electrocardiogram

    Rashid Nasimov, Bahodir Muminov, Sanjar Mirzahalilov +1

    MaqolaECG Monitoring and Analysis202011 iqtibos
    ABI

  2. A New Approach to Classifying Myocardial Infarction and Cardiomyopathy Using Deep Learning

    Rashid Nasimov, Bahodir Muminov, Sanjar Mirzahalilov +1

    MaqolaECG Monitoring and Analysis2020 International Conference on Information Science and Communications Technologies (ICISCT)20208 iqtibos
    ABI

  3. 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

    MaqolaMuscle activation and electromyography studies20208 iqtibos
    ABI

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

    Adilbek Turgunov, Kudratjon Zohirov, Bobur Muhtorov

    MaqolaEEG and Brain-Computer Interfaces20207 iqtibos
    ABI

  5. Using Different Features of Signal in EMG Signal Classification

    Adilbek Turgunov, Kudratjon Zohirov, Shamiljon Rustamov +1

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

  6. EMG Wrist-hand Motion Recognition System for Real-time Embedded Platform

    Sumit A. Raurale, John McAllister, Jesús Martínez del Rincón

    Maqola20192 iqtibos
    ABI

  7. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
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    Boshqa1 iqtibos
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    Boshqa1 iqtibos
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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI