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Wearable Sensors for Frequency-Multiplexed EIT and Multilead ECG Data Acquisition.

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    This study introduces a new wearable sensor for electrical impedance tomography (EIT) and electrocardiogram (ECG) acquisition. The system enables simultaneous, noninvasive cardiovascular monitoring and ventilation assessment.

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    Area of Science:

    • Biomedical Engineering
    • Wearable Technology
    • Medical Imaging

    Background:

    • Cabling complexity in wearable sensors hinders flexible data acquisition.
    • Synchronous acquisition of multiple physiological signals is challenging.
    • Electrical Impedance Tomography (EIT) offers noninvasive imaging potential.

    Purpose of the Study:

    • To present a novel wearable sensor architecture for frequency-multiplexed EIT and synchronous multilead ECG data acquisition.
    • To demonstrate a cooperative-sensor architecture reducing cabling and enabling flexible EIT patterns.
    • To validate the system's capability for noninvasive cardiovascular and ventilation monitoring.

    Main Methods:

    • Development of a cooperative-sensor architecture for EIT and ECG.
    • Implementation of frequency-division multiplexing for adjustable EIT stimulation.
    • System calibration and noise performance assessment.
    • Preliminary measurements on a healthy volunteer.

    Main Results:

    • The wearable system successfully acquired EIT and multilead ECG data synchronously.
    • Reconstruction of ventilation-related and heartbeat-related EIT images was achieved.
    • The cooperative-sensor architecture significantly reduced cabling complexity.

    Conclusions:

    • The proposed wearable sensor architecture is feasible for noninvasive cardiovascular monitoring.
    • The system enables simultaneous EIT imaging and ECG recording.
    • This technology advances wearable solutions for physiological monitoring.