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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Wearable Technology

    Background:

    • Surface electromyography (sEMG) is crucial for understanding muscle activity.
    • Existing systems often lack portability, modularity, or sufficient channel density for complex applications.
    • Advanced prosthetic control requires high-resolution muscle signal data.

    Purpose of the Study:

    • To develop a portable, modular, wireless multichannel sensor system for high-density surface electromyography (HD-sEMG) signal acquisition.
    • To enable real-time recording and processing of HD-sEMG data for applications like prosthetic control.
    • To present a flexible electrode array design suitable for curved anatomical areas.

    Main Methods:

    • Utilized off-the-shelf components, including the Intan Technologies RHD2132 chip, for a 32-channel system.
    • Implemented a 2.4-GHz ISM wireless link for real-time data transmission to a base station.
    • Developed a flexible printed circuit board-based dry electrode array for forearm placement.
    • Collected HD-sEMG data and applied a novel frequency-time-space cross-domain preprocessing method.

    Main Results:

    • Achieved 32-channel HD-sEMG recording at 1 kHz sampling rate and 16-bit resolution.
    • System exhibits low input-referred noise (2.4 μVrms) and low power consumption (49.5 mW).
    • Demonstrated the system's capability for complex muscle activity pattern detection on the forearm.
    • Presented visualized HD-EMG data and demonstrated its use in building training datasets.

    Conclusions:

    • The developed portable and modular wireless HD-sEMG system offers a viable solution for high-resolution muscle signal acquisition.
    • The system's design facilitates improved intuitiveness and ease-of-use in prosthetic control systems.
    • The proposed preprocessing method aids in the effective visualization and analysis of HD-EMG data.