An intelligent health monitoring system using radio-frequency identification technology

Lai, Yeong Lin; Chen, Chin-Ling; Chang, Ching Hisang; Hsu, Chih-Yu; Lai, Yeong Kang; Tseng, Kuo Kun; Chen, Chih‐Cheng; Zheng, Chao

doi:10.3233/thc-151109

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…To study the effect of changing concentration, properties of solutions at different concentrations are compared at 2.45 GHz. This is a frequency of operation for different wireless and sensing applications, as well as wearable devices [28][29][30][31][32][33]. The first set of data in Figure 10 presents the real and imaginary part of the dielectric constant of solutions formed from single components at 2.45 GHz.…”

Section: Discussionmentioning

confidence: 99%

Study of the Dielectric Properties of Artificial Sweat Mixtures at Microwave Frequencies

2020

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Analysis of sweat is of interest for a variety of diagnosis and monitoring applications in healthcare. In this work, detailed measurements of the dielectric properties of solutions representing the major components of sweat are presented. The measurements include aqueous solutions of sodium chloride (NaCl), potassium chloride (KCl), urea, and lactic acid, as well as their mixtures. Moreover, mixtures of NaCl, KCl, urea, and lactic acid, mimicking artificial sweat at different hydration states, are characterized, and the data are fitted to a Cole–Cole model. The complex dielectric permittivity for all prepared solutions and mixtures is studied in the range of 1–20 GHz, at temperature of 23 °C, with ionic concentrations in the range of 0.01–1.7 mol/L.

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Section: Discussionmentioning

confidence: 99%

Study of the Dielectric Properties of Artificial Sweat Mixtures at Microwave Frequencies

2020

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A novel automated guided vehicle for guidance applications

Lai

Lan

et al. 2021

J. Phys.: Conf. Ser.

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In recent years, as a result of the significant development of information and communications technology, people have been paying much attention to automated guided vehicles (AGVs). In the ongoing global coronavirus disease 2019 (COVID-19) pandemic, hospital services have been seriously impacted. In the severe medical situation in hospitals, there is a serious shortage of human resources. This paper presents a novel automated guided vehicle (AGV) for guidance and service. The AGV is comprised of a microcontroller unit (MCU), a power unit, a human sensing unit, a collision warning unit, and a path sensing unit. The motion speed of the AGV and the distance between the AGV and the person being guided are determined by the MCU, the power unit, sensors, and an algorithm. The collision warning unit comprises three ultrasonic sensors and an infrared sensor in the front of the AGV in order to avoid obstacles. The trajectory results of the planned and actual paths are in good agreement. The AGV provides safe and effective guidance for people moving towards their destination. The AGV achieves excellent guidance results and shows great potential for guidance applications in hospitals.

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An unmanned aerial vehicle for search and rescue applications

Lai,

Yang

et al. 2023

J. Phys.: Conf. Ser.

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Unmanned aerial vehicles (UAVs) have emerged as potential tools for search and rescue. This study evaluates the feasibility of developing UAVs for search and rescue from multiple perspectives, including positioning and environmental monitoring considerations. The system architecture incorporates a UAV equipped with sensors for particulate matter, temperature/humidity, and carbon monoxide (CO) detection. Data collected by these sensors were compared with official data from the Environmental Protection Administration (EPA) in Taiwan to assess the reliability of the obtained results. The findings indicate that the data collected by the UAV closely align with the official data, suggesting their reliability and values as references. Furthermore, the study simulates the use of the UAV for automated flight route planning during disaster scenarios. The UAV efficiently navigates predetermined paths around disaster sites while monitoring environmental factors. The results highlight the importance of developing UAVs for search and rescue, as they integrate Internet of things (IoT) technology and provide geolocation and environmental information. The developed UAV enables the rapid acquisition of critical data, supporting decision-making and execution during rescue operations. This research provides a substantial demonstration of the UAV for search and rescue applications.

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An intelligent health monitoring system using radio-frequency identification technology

Cited by 5 publications

References 17 publications

Study of the Dielectric Properties of Artificial Sweat Mixtures at Microwave Frequencies

Study of the Dielectric Properties of Artificial Sweat Mixtures at Microwave Frequencies

A novel automated guided vehicle for guidance applications

An unmanned aerial vehicle for search and rescue applications

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