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19 та иш

Иш: 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

    МақолаSpeech Recognition and Synthesis20204 иқтибос
    ABI

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

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

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

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

    Kamoliddin Shukurov, Ulugbek Berdanov, U U Khasanov +2

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

  4. Surface Electromyography Signal Processing and Classification Techniques

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

    Шарҳ мақола20133 иқтибос
    ABI

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

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

    Шарҳ мақола20112 иқтибос
    ABI

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

    Krzysztof Strzecha, Marek Krakós, B. Więcek +5

    Мақола20212 иқтибос
    ABI

  7. The Use of Surface Electromyography in Biomechanics

    Carlo J. De Luca

    Мақола19972 иқтибос
    ABI

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