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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
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Conducting Respiratory Oscillometry in an Outpatient Setting
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Respiratory System Monitoring Based on Low-frequency Transmission Ultrasound Using Wearable Transducers.

Tong Zhang, Haokang Shi, Rui Guo

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    Summary
    This summary is machine-generated.

    Low-frequency ultrasound shows promise for respiratory monitoring. A new waveform matching method enables reliable signal reception throughout the breathing cycle by tracking thorax changes, not just acoustic properties.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Acoustics

    Background:

    • Ultrasound monitoring of the respiratory system is limited by lung reflections and scattering.
    • Previous studies show ultrasound penetration during expiration, but inspiration signals are weak.
    • Challenges include signal reception during the full respiratory cycle.

    Purpose of the Study:

    • To introduce a waveform matching method for reliable ultrasound signal reception during respiration.
    • To demonstrate the feasibility of low-frequency ultrasound for thorax monitoring.
    • To investigate the relationship between ultrasound signal variations and physiological changes.

    Main Methods:

    • Developed a waveform matching method to track signal variations.
    • Conducted a low-frequency ultrasound transmission experiment (60 kHz) with wearable transducers.
    • Analyzed traveltime and energy of the first-arrival signal during the respiratory cycle.

    Main Results:

    • Observed significant changes in signal traveltime and energy correlating with the breathing cycle.
    • Attributed traveltime variations primarily to thorax deformation.
    • Identified a heart rate frequency component in the energy variation curve.

    Conclusions:

    • Low-frequency transmission ultrasound can detect thorax state variations.
    • The waveform matching method ensures reliable signal reception throughout respiration.
    • This technique shows potential for advanced respiratory system monitoring.