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Method for Distinguishing Humans and Animals in Vital Signs Monitoring Using IR-UWB Radar.

Pengfei Wang1, Yang Zhang1, Yangyang Ma1

  • 1Department of Medical Electronics, School of Biomedical Engineering, The Fourth Military Medical University, Xi'an 710032, China.

International Journal of Environmental Research and Public Health
|November 27, 2019
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Summary

This study introduces a new radar method to differentiate human vital signs from pets. The respiratory and heartbeat energy ratio (RHER) effectively distinguishes between human and animal signals for accurate non-contact monitoring.

Keywords:
health monitoringhuman and animalsradarrespiratory and heartbeat energy ratiovariational mode decomposition (VMD)vital signs

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Area of Science:

  • Biomedical Engineering
  • Remote Sensing Technology
  • Signal Processing

Background:

  • Radar vital sign monitoring is crucial for home healthcare, but pet interference is a significant challenge.
  • Animals share similar respiratory rates with humans, leading to misidentification and false alarms in non-contact monitoring.
  • Existing methods often fail to differentiate between human and animal physiological signals accurately.

Purpose of the Study:

  • To develop a novel radar-based scheme for distinguishing human vital signs from those of common household pets.
  • To introduce a new parameter, the respiratory and heartbeat energy ratio (RHER), for accurate human-animal differentiation.
  • To enable reliable non-contact vital sign monitoring in environments with both humans and pets.

Main Methods:

  • Impulse radio ultrawideband (IR-UWB) radar was used to detect signals from humans and pets (dogs, cats, rabbits).
  • Echo signals were analyzed in time and frequency domains, with background noise and DC components removed.
  • Variational mode decomposition was employed to isolate respiration and heartbeat components for RHER calculation.

Main Results:

  • A novel scheme combining RHER and an energy index successfully distinguished between human and animal vital signs.
  • The RHER parameter effectively reflects the distinct in-body structures influencing vital sign energy contributions.
  • Experimental results confirmed the proposed method's superior accuracy over existing techniques.

Conclusions:

  • The developed RHER-based scheme provides an effective and rapid solution for differentiating human and animal vital signs using radar.
  • Minimal computational resources are required, making the method suitable for real-time monitoring applications.
  • This advancement enhances the reliability of non-contact vital sign monitoring in mixed human-pet environments.