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8 ta ish

Ish: Defining the Features of EMG Signals on the Forearm of the Hand Using SVM, RF, k-NN Classification 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. Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface

    Kudratjon Zohirov

    MaqolaMuscle activation and electromyography studies20229 iqtibos
    ABI

  3. Formant set as a main parameter for recognizing vowels of the Uzbek language

    Malika Abdullaeva, Ilyos Khujayorov, Mannon Ochilov

    MaqolaSpeech and Audio Processing2021 International Conference on Information Science and Communications Technologies (ICISCT)20218 iqtibos
    ABI

  4. 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

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

    Adilbek Turgunov, Kudratjon Zohirov, Rashid Nasimov +1

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

  6. 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

  7. 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

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

    Kudratjon Zohirov, Mirjakhon Temirov, Sardor Boykobilov +6

    MaqolaHand Gesture Recognition SystemsSignals20253 iqtibos
    ABI