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Optimization of UHF RFID Five-Slotted Patch Tag Design Using PSO Algorithm for Biomedical Sensing Systems.

Ibtissame Bouhassoune1, Abdellah Chehri2, Rachid Saadane3

  • 1LRIT Laboratory, Mohammed V University, Rabat 10106, Morocco.

International Journal of Environmental Research and Public Health
|February 9, 2021
PubMed
Summary
This summary is machine-generated.

A new flexible wearable radio frequency identification (RFID) tag was developed for ultra-high frequency (UHF) healthcare sensing. This optimized tag demonstrates promising performance and read ranges when placed on the human body for biomedical applications.

Keywords:
PSO algorithmUHF bandradio frequency identification (RFID)tag robustnesswearable RFID tag

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Area of Science:

  • Electrical Engineering
  • Biomedical Engineering
  • Antenna Design

Background:

  • Wearable technology is crucial for remote healthcare monitoring.
  • Existing radio frequency identification (RFID) tags face challenges with performance degradation when placed on the human body.
  • There is a need for robust and efficient wearable sensors for ultra-high frequency (UHF) applications.

Purpose of the Study:

  • To design and optimize a novel flexible wearable RFID tag for UHF healthcare sensing applications.
  • To minimize the impact of the human body on antenna radiation performance.
  • To evaluate the tag's suitability for wearable biomedical sensing.

Main Methods:

  • Design of a compact, five-shaped slot patch tag with a flexible substrate.
  • Optimization using Particle Swarm Optimization (PSO) and curve fitting in MATLAB.
  • Performance evaluation at various body placements (wrist, chest) and robustness testing.

Main Results:

  • Achieved good return loss and attractive radiation performance in the operating band.
  • Demonstrated optimal tag size with good matching features.
  • Showcased promising read ranges when the tag is in proximity to the human body.

Conclusions:

  • The developed flexible wearable RFID tag is suitable for UHF healthcare sensing.
  • The PSO optimization method effectively improved antenna performance for body-worn applications.
  • The tag's design ensures robustness and reliable performance in biomedical sensing scenarios.