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19 ta ish

Ish: Analysis of Fatigue Characteristics in Muscle Groups Using the FREEEMG 1000

  1. Uzbek speech commands recognition and implementation based on HMM

    Shukurov Kamoliddin Elbobo ugli, Kholdorov Shokhrukhmirzo Imomali ugli, Khasanov Umidjon Komiljon ugli

    MaqolaSpeech Recognition and Synthesis20204 iqtibos
    ABI

  2. 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

  3. The role of adaptive filters in the recognition of speech commands

    Kamoliddin Shukurov, Ulugbek Berdanov, U U Khasanov +2

    MaqolaAdvanced Adaptive Filtering Techniques2021 International Conference on Information Science and Communications Technologies (ICISCT)20214 iqtibos
    ABI

  4. Surface Electromyography Signal Processing and Classification Techniques

    Rafi Hassan Chowdhury, Mamun Bin Ibne Reaz, Mohd Helmi Ali +3

    Sharh maqola20133 iqtibos
    ABI

  5. A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue

    Mohamed R. Al-Mulla, Francisco Sepúlveda, Martin Colley

    Sharh maqola20112 iqtibos
    ABI

  6. Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences

    Krzysztof Strzecha, Marek Krakós, B. Więcek +5

    Maqola20212 iqtibos
    ABI

  7. The Use of Surface Electromyography in Biomechanics

    Carlo J. De Luca

    Maqola19972 iqtibos
    ABI

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