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    This study introduces a wireless system for high-resolution gastric slow-wave signal mapping. The system enables continuous power transmission and high data rates for improved gastrointestinal monitoring.

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    Area of Science:

    • Biomedical Engineering
    • Gastroenterology
    • Wireless Sensor Networks

    Background:

    • High-resolution mapping of gastric slow-wave signals is crucial for understanding gastrointestinal motility disorders.
    • Existing recording systems often face limitations in terms of invasiveness, power supply, and data transmission.

    Purpose of the Study:

    • To develop and validate a novel wireless recording system for high-resolution gastric slow-wave signal mapping.
    • To enable continuous, high-data-rate wireless recording and real-time monitoring of gastric activity.

    Main Methods:

    • A three-unit system was designed: an implantable unit (IU), a wearable unit (WU), and a stationary unit (SU).
    • Two wireless communication links were established: near-field (IU-WU) and far-field (IU-SU).
    • A differential pulse position data encoding algorithm with load shift keying (LSK) modulation was developed for efficient IU-WU communication, enabling simultaneous power transmission and data transfer.

    Main Results:

    • Successful wireless data transmission was demonstrated between the implantable unit and both the wearable and stationary units (IU-WU and WU-SU).
    • The system achieved high data transfer rates with a low duty cycle (6.25%) for the near-field communication.
    • Sample gastric slow-wave signals were successfully recorded through a saline solution and transmitted for reception by the stationary unit.

    Conclusions:

    • The developed wireless recording system offers a promising solution for high-resolution gastric slow-wave signal mapping.
    • The system's design facilitates continuous monitoring, efficient data transfer, and wireless recharging, addressing key limitations of current technologies.
    • This technology has the potential to significantly advance the diagnosis and management of gastrointestinal motility disorders.