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Pulse rhythm01:30

Pulse rhythm

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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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Related Experiment Video

Updated: Jan 9, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
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Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

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Non-contact Heart Rate Estimation Using VMD with Spectrogram-Based Preprocessing via CW Radar.

Xiangdong Wang, Mondher Bouazizi, Tomoaki Ohtsuki

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel, noise-resilient method for non-contact heart rate estimation using radar. The technique combines spectrogram preprocessing and Variational Mode Decomposition (VMD) to accurately measure heart rate, even with interfering signals.

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    Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Non-invasive Monitoring

    Background:

    • Heart rate is a critical health indicator.
    • Non-contact heart rate measurement using continuous wave (CW) radar shows promise.
    • Existing radar-based methods struggle with noise from respiration and body movement.

    Purpose of the Study:

    • To develop a robust heart rate estimation method resistant to noise.
    • To improve the accuracy of non-contact heart rate measurement using CW radar.
    • To combine spectrogram preprocessing with Variational Mode Decomposition (VMD) for enhanced signal analysis.

    Main Methods:

    • A novel method combining spectrogram preprocessing and Variational Mode Decomposition (VMD).
    • VMD decomposes the signal into intrinsic mode function (IMF) signals.
    • IMF selection based on autocorrelation and frequency variation characteristics of heartbeat signals.

    Main Results:

    • The proposed method demonstrated high robustness against noise.
    • Achieved a low mean absolute error (MAE) of 5.46 bpm.
    • Significantly improved heart rate estimation accuracy compared to conventional methods.

    Conclusions:

    • The combined spectrogram and VMD approach effectively suppresses noise.
    • This method offers a more accurate and reliable way for non-contact heart rate estimation.
    • The technique holds potential for advanced remote health monitoring applications.