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Published on: August 27, 2021
Advancements in Passive Wireless Sensing Systems in Monitoring Harsh Environment and Healthcare Applications
Wei Yue1,2, Yunjian Guo1,3, Jong-Chul Lee1,3
1RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea.
Advancements in passive wireless sensors enable battery-free, real-time monitoring for industry and healthcare. This review establishes a framework for system architecture to optimize these versatile sensing technologies.
Area of Science:
- Engineering
- Materials Science
- Biomedical Engineering
Background:
- Passive wireless sensor technology offers battery-free, miniaturized, and lightweight solutions for monitoring.
- These sensors are increasingly vital for industrial and healthcare applications, including internal body spaces and epidermal devices.
- Current research lacks a systematic framework for optimizing passive wireless sensor system architectures.
Purpose of the Study:
- To systematically review and establish a research framework for passive wireless sensor technology.
- To evaluate current system architectures and component functions (sensor module, communication, readout).
- To provide a research trajectory for advanced, user-friendly applications.
Main Methods:
- Examination of diverse application scenarios in industry and healthcare.
- Evaluation of existing passive wireless sensor system architectures.
- Analysis of individual component functions within sensing systems.
- Presentation of case studies for component feasibility.
Main Results:
- Identification of key components: passive sensor module, wireless communication model, and readout module.
- Demonstration of component feasibility through case studies for specific sensing scenarios.
- Highlighting the need for a systematic approach to system architecture development.
Conclusions:
- A systematic framework is crucial for optimizing passive wireless sensor systems.
- The review provides a foundation for developing more advanced and user-friendly sensing applications.
- Further research is needed to refine system architectures for broader adoption.
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