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A Real-Time Wearable Electromyography Measurement System for Small Animals
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A Wireless Multimodal Physiological Monitoring ASIC for Animal Health Monitoring Injectable Devices.

Linran Zhao, Raymond G Stephany, Yiming Han

    IEEE Transactions on Biomedical Circuits and Systems
    |March 4, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a wireless chip for injectable animal health monitors, improving signal quality and reducing motion artifacts. The device measures temperature, ECG, and PPG, enabling advanced remote veterinary diagnostics.

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    Area of Science:

    • Biomedical Engineering
    • Implantable Devices
    • Animal Health Monitoring

    Background:

    • Wearable animal health monitors are limited by motion artifacts and signal quality.
    • Injectable devices offer superior signal-to-noise ratio (SNR) and immunity to movement.
    • There is a need for integrated, low-power wireless solutions for in-vivo physiological monitoring in animals.

    Purpose of the Study:

    • To develop and evaluate a wireless Application-Specific Integrated Circuit (ASIC) for injectable animal health monitoring.
    • To integrate multiple physiological sensing modalities into a single microchip implant.
    • To demonstrate the feasibility of wireless power and data telemetry for implantable biosensors.

    Main Methods:

    • Fabrication of a CMOS 180 nm ASIC with integrated temperature, electrocardiography (ECG), and photoplethysmography (PPG) sensors.
    • Design of low-power analog front-ends (AFEs) for each sensor modality, including a switched-capacitor (SC) LED driver and photodiode AFE for PPG.
    • Implementation of a 10-bit successive approximation register (SAR) analog-to-digital converter (ADC) and a backscatter-based data telemetry system.
    • In-vivo evaluation of the ASIC's functionality and performance in an animal model.

    Main Results:

    • The ASIC successfully integrated temperature, ECG, and PPG sensing capabilities within an injectable microchip form factor.
    • The low-power design achieved an average DC power consumption of 155.3 µW, enabling wireless inductive powering.
    • The ECG AFE provided adjustable gain (45-79 dB) and a low cut-off frequency (0.3 Hz).
    • The PPG sensor utilized an energy-efficient SC LED driver and a programmable transimpedance gain AFE.
    • The temperature sensor achieved 0.02 °C inaccuracy within a 27-47 °C range.
    • The SAR ADC demonstrated a 57.5 dB signal-to-noise-and-distortion ratio (SNDR) within a 1 kHz bandwidth.
    • Successful in-vivo experiments validated the ASIC's overall performance for physiological signal acquisition and wireless data transmission.

    Conclusions:

    • The developed wireless ASIC represents a significant advancement for injectable animal health monitoring systems.
    • The integrated multi-modal sensing capabilities and low-power wireless operation pave the way for continuous, non-invasive in-vivo health assessment in animals.
    • This technology has the potential to improve early disease detection and personalized veterinary care through enhanced physiological data acquisition.