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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Signal Processing

    Background:

    • High-density surface electromyography (HD-sEMG) offers rich data but is limited by complex, bulky hardware.
    • Current HD-sEMG systems are cumbersome, restricting their application in dynamic or mobile scenarios.
    • Movement artifacts and noise often compromise signal quality in conventional surface EMG detection.

    Purpose of the Study:

    • To develop a miniaturized, wireless, and modular HD-sEMG acquisition system.
    • To create a portable and robust solution for HD-sEMG applications in dynamic conditions.
    • To overcome the limitations of existing HD-sEMG hardware for improved usability.

    Main Methods:

    • Designed a modular architecture featuring a miniaturized 32-channel amplifier (Sensor Unit - SU).
    • Developed a wireless system transmitting data at 2048 sps/ch with 16-bit resolution.
    • Integrated SUs as nodes in a Body Sensor Network for synchronous multi-muscle acquisition.

    Main Results:

    • A prototype with two SUs demonstrated small size (3.4x3x1.5 cm) and light weight (16.7 g).
    • Achieved an average noise level of 1.8 μVRMS with effective rejection of power-line interference and motion artifacts.
    • Confirmed no data loss within a 22 m range and a maximum synchronization delay of ±500 μs.

    Conclusions:

    • The developed system successfully acquires high-quality HD-sEMG signals.
    • The modular, wireless design simplifies setup and reduces hardware encumbrance.
    • The system enhances signal quality during dynamic contractions, expanding HD-sEMG applications.