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Special Issue Editor

Special Issue Information

Dear Colleagues,

In recent years, microwave sensors are a hot topic for remote sensing in the 5G wireless era. Besides, microwave sensors are currently researching and developing versatile versions for various purposes, from materials characterization to industrial applications. This special issue includes the original research on new microwave devices-based sensing platforms such as bio, gas, and environment. It also includes a review of the state-of-art in microwave and millimeter-wave sensors and devices.

Prof. Hee-Jo Lee
Guest Editor

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Keywords

electromagnetic field
microwave-based sensors
microwave materials characterization
industrial microwave sensors
non-invasive
non-contact
real time

Published Papers (2 papers)

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Research

Jump to: Review

17 pages, 2766 KiB

Open AccessArticle

Accurate Heart Rate and Respiration Rate Detection Based on a Higher-Order Harmonics Peak Selection Method Using Radar Non-Contact Sensors

by Hongqiang Xu, Malikeh P. Ebrahim, Kareeb Hasan, Fatemeh Heydari, Paul Howley and Mehmet Rasit Yuce

Sensors 2022, 22(1), 83; https://doi.org/10.3390/s22010083 - 23 Dec 2021

Cited by 27 | Viewed by 7089

Abstract

Vital signs such as heart rate and respiration rate are among the most important physiological signals for health monitoring and medical applications. Impulse radio (IR) ultra-wideband (UWB) radar becomes one of the essential sensors in non-contact vital signs detection. The heart pulse wave is easily corrupted by noise and respiration activity since the heartbeat signal has less power compared with the breathing signal and its harmonics. In this paper, a signal processing technique for a UWB radar system was developed to detect the heart rate and respiration rate. There are four main stages of signal processing: (1) clutter removal to reduce the static random noise from the environment; (2) independent component analysis (ICA) to do dimension reduction and remove noise; (3) using low-pass and high-pass filters to eliminate the out of band noise; (4) modified covariance method for spectrum estimation. Furthermore, higher harmonics of heart rate were used to estimate heart rate and minimize respiration interference. The experiments in this article contain different scenarios including bed angle, body position, as well as interference from the visitor near the bed and away from the bed. The results were compared with the ECG sensor and respiration belt. The average mean absolute error (MAE) of heart rate results is 1.32 for the proposed algorithm. Full article

(This article belongs to the Special Issue Microwave Sensors: From Sensing Principle to Application)

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Review

Jump to: Research

22 pages, 1794 KiB

Open AccessReview

Radio-Frequency Biosensors for Real-Time and Continuous Glucose Detection

by Chorom Jang, Hee-Jo Lee and Jong-Gwan Yook

Sensors 2021, 21(5), 1843; https://doi.org/10.3390/s21051843 - 06 Mar 2021

Cited by 24 | Viewed by 5909

Abstract

This review paper focuses on radio-frequency (RF) biosensors for real-time and continuous glucose sensing reported in the literature, including our recent research. Diverse versions of glucose biosensors based on RF devices and circuits are briefly introduced, and their performances are compared. In addition, the limitations of the developed RF glucose biosensors are discussed. Finally, we present perspectives on state-of-art RF biosensing chips for point-of-care diagnosis and describe their future challenges. Full article

(This article belongs to the Special Issue Microwave Sensors: From Sensing Principle to Application)

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