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7 ta ish

Ish: A new dataset for the detection of hand movements based on the SEMG signal

  1. Comparative Analysis of the Results of Algorithms for Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy Using Deep Learning

    Nigorakhon Nasimova, Bahodir Muminov, Rashid Nasimov +2

    MaqolaEngineering Education and Technology2021 International Conference on Information Science and Communications Technologies (ICISCT)202110 iqtibos
    ABI

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

    Kudratjon Zohirov

    MaqolaMuscle activation and electromyography studies20229 iqtibos
    ABI

  3. 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

  4. Analysis of methods and algorithms for feature extraction of biosignals of muscle activity

    A'lokhon Qakhkharov, Shokhrukhmirzo Kholdorov, Nozima Atadjanova +2

    MaqolaMuscle activation and electromyography studies2021 International Conference on Information Science and Communications Technologies (ICISCT)20214 iqtibos
    ABI

  5. 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

  6. Analysis of Human Brain Signal Rhythms Through a Bitalino Device

    Ganiyev Alisher

    MaqolaEEG and Brain-Computer Interfaces20220 iqtibos
    ABI

  7. A Hybrid Algorithm for Constructing an Optimized Set of Informative Features

    Kudratjon Zohirov, Rashid Nasimov, Dildora Muhamediyeva +3

    MaqolaScientific Research Methodologies and Applications20250 iqtibos
    ABI