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8 works

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

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  2. Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface

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

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

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    ArticleMuscle activation and electromyography studies2021 International Conference on Information Science and Communications Technologies (ICISCT)20218 citations
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  6. A new dataset for the detection of hand movements based on the SEMG signal

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  7. 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

  8. Electromyography-Based Sign Language Recognition: A Low-Channel Approach for Classifying Fruit Name Gestures

    Kudratjon Zohirov, Mirjakhon Temirov, Sardor Boykobilov +6

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