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Работы, цитирующие эту работу

Работ: 8

Работа: 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

    СтатьяECG Monitoring and Analysis2020Цитирований: 11
    ABI

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

    Kudratjon Zohirov

    СтатьяMuscle activation and electromyography studies2022Цитирований: 9
    ABI

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

    Malika Abdullaeva, Ilyos Khujayorov, Mannon Ochilov

    СтатьяSpeech and Audio Processing2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 8
    ABI

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

    Rashid Nasimov, Bahodir Muminov, Sanjar Mirzahalilov +1

    СтатьяECG Monitoring and Analysis2020 International Conference on Information Science and Communications Technologies (ICISCT)2020Цитирований: 8
    ABI

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

    Adilbek Turgunov, Kudratjon Zohirov, Rashid Nasimov +1

    СтатьяMuscle activation and electromyography studies2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 8
    ABI

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

    Adilbek Turgunov, Kudratjon Zohirov, Bobur Muhtorov

    СтатьяEEG and Brain-Computer Interfaces2020Цитирований: 7
    ABI

  7. Using Different Features of Signal in EMG Signal Classification

    Adilbek Turgunov, Kudratjon Zohirov, Shamiljon Rustamov +1

    СтатьяMuscle activation and electromyography studies2020 International Conference on Information Science and Communications Technologies (ICISCT)2020Цитирований: 6
    ABI

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

    Kudratjon Zohirov, Mirjakhon Temirov, Sardor Boykobilov +6

    СтатьяHand Gesture Recognition SystemsSignals2025Цитирований: 3
    ABI