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The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
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    DeepMining, a novel single-antenna radar, accurately tracks multiple people's respiration and heartbeat rates. This Internet-of-Things technology overcomes limitations of existing vital sign monitoring systems.

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    Area of Science:

    • Internet-of-Things (IoT)
    • Radio-Frequency (RF) Sensing
    • Biomedical Engineering

    Background:

    • Noninvasive monitoring of vital signs is crucial for healthcare.
    • Current radio-frequency (RF) based systems often require complex antenna arrays or limited bandwidth radar.
    • These limitations restrict the widespread application of RF vital sign detection.

    Purpose of the Study:

    • To introduce DeepMining, a novel system for simultaneous, noninvasive vital sign monitoring.
    • To demonstrate the capability of a single-antenna, narrowband Doppler radar system for tracking multiple individuals.
    • To overcome the size and bandwidth limitations of existing RF detection techniques.

    Main Methods:

    • Utilizing a single-antenna, narrowband Doppler radar system with a self-injection locking architecture.
    • Employing frequency separation algorithms with successive signal cancellation for data extraction.
    • Processing time-series signal observations to determine respiration and heartbeat rates.

    Main Results:

    • DeepMining accurately tracks respiration and heartbeat rates of multiple individuals simultaneously.
    • Achieved 90% accuracy for two closely located persons and 85% for three.
    • Demonstrated effectiveness even in scenarios with close proximity between subjects.

    Conclusions:

    • DeepMining offers a highly accurate and accessible solution for multi-person vital sign monitoring.
    • The system's single-antenna and narrowband design overcomes key limitations of prior technologies.
    • This advancement holds significant potential for Internet-of-Things (IoT) healthcare applications.