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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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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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Hybrid Time-Frequency Analysis for Micromobility-Based Indirect Bridge Health Monitoring.

Premjeet Singh1, Harsha Agarwal1, Ayan Sadhu1

  • 1Department of Civil and Environmental Engineering, Western University, London, ON N6A 5B9, Canada.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
Summary
This summary is machine-generated.

Bicycles equipped with sensors can monitor bridge health indirectly (iBHM). A hybrid Wavelet Packet Transform-Synchro-extracting Transform method accurately analyzes bridge vibrations for structural health monitoring.

Keywords:
damping ratiofrequency analysisindirect bridge health monitoringmicro-mobility devicesmodal identificationsynchro-extracting transformwavelet packet transform

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Area of Science:

  • Civil Engineering
  • Structural Health Monitoring
  • Transportation Infrastructure

Background:

  • Bridges are critical infrastructure requiring continuous condition monitoring.
  • Traditional structural health monitoring (SHM) faces challenges like traffic disruption and sensor limitations.
  • Indirect bridge health monitoring (iBHM) offers a non-disruptive alternative using traffic data.

Purpose of the Study:

  • To investigate the feasibility of using bicycles as mobile sensing platforms for iBHM.
  • To develop and evaluate a novel signal processing method for analyzing bike-based iBHM data.
  • To assess the effectiveness of this approach compared to existing methods.

Main Methods:

  • Utilized system identification methods to analyze acceleration data from a bicycle-mounted sensor.
  • Employed a hybrid Wavelet Packet Transform (WPT) and Synchro-extracting Transform (SET) approach.
  • Measured bridge responses under various traversing conditions and rider-bicycle-bridge interactions.

Main Results:

  • The WPT-SET hybrid method demonstrated superior robustness and accuracy in identifying dominant non-stationary frequencies.
  • The proposed bike-based iBHM approach effectively captured bridge dynamic characteristics.
  • Performance was validated against the Time-Varying Filtering Empirical Mode Decomposition (TVF-EMD) algorithm.

Conclusions:

  • Bicycles serve as cost-effective, mobile sensing platforms for iBHM.
  • The WPT-SET method is a reliable tool for analyzing iBHM data.
  • This approach enables structural health monitoring in areas inaccessible to motorized vehicles.