Flexible and Printed Microwave Plasmonic Sensor for Noninvasive Measurement

Dai, Li; Zhao, Hanxi; Xia, Zhao; Zhou, Yong Jin

doi:10.1109/access.2020.3020268

Cited by 22 publications

(9 citation statements)

References 39 publications

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“…Besides piezoelectric metamaterials, plasmonic metamaterial textiles have also been used to track vital signs such as temperature, heart rate, and respiratory rate. [62][63][64][65] In fact, plasmonic metamaterials have been employed to evaluate physiological and pharmacological analytes in sweat non-invasively using surfaceenhanced Roman scattering (SERS). [63] Moreover, to prevent potentially destructive strains and large deformations, finite element model (FEM)-based stress analysis was conducted prior to plasmonic metamaterial design.…”

Section: Monitoring Vital Signs Cardiovascular Health and Drug Metabo...mentioning

confidence: 99%

AI‐Based Metamaterial Design for Wearables

Yigci,

Ahmadpour,

Tasoglu

2023

Advanced Sensor Research

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Continuous monitoring of physiological parameters has remained an essential component of patient care. With an increased level of consciousness regarding personal health and wellbeing, the scope of physiological monitoring has extended beyond the hospital. From implanted rhythm devices to non‐contact video monitoring for critically ill patients and at‐home health monitors during Covid‐19, many applications have enabled continuous health monitorization. Wearable health sensors have allowed chronic patients as well as seemingly healthy individuals to track a wide range of physiological and pharmacological parameters including movement, heart rate, blood glucose, and sleep patterns using smart watches or textiles, bracelets, and other accessories. The use of metamaterials in wearable sensor design has offered unique control over electromagnetic, mechanical, acoustic, optical, or thermal properties of matter, enabling the development of highly sensitive, user‐friendly, and lightweight wearables. However, metamaterial design for wearables has relied heavily on manual design processes including human‐intuition‐based and bio‐inspired design. Artificial intelligence (AI)‐based metamaterial design can support faster exploration of design parameters, allow efficient analysis of large data‐sets, and reduce reliance on manual interventions, facilitating the development of optimal metamaterials for wearable health sensors. Here, AI‐based metamaterial design for wearable healthcare is reviewed. Current challenges and future directions are discussed.

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Section: Monitoring Vital Signs Cardiovascular Health and Drug Metabo...mentioning

confidence: 99%

AI‐Based Metamaterial Design for Wearables

Yigci,

Ahmadpour,

Tasoglu

2023

Advanced Sensor Research

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“…On the other hand, microfluidic channels made by polydimethylsiloxane (PDMS) have the characteristics of small capacity and low energy consumption, and are suitable as the liquid carrier in microwave sensors and other sensors [12][13][14][15]. PDMS materials allow high processing accuracy for precise engraving of channels, and the shape of the channels can be specifically designed so as to strengthen the influence of liquid parameters on the EM characteristics of the sensor [16].…”

Section: Introductionmentioning

confidence: 99%

A metamaterial based microfluidic sensor for permittivity detection of liquid

Qiu¹,

Lei²,

Wang³

et al. 2022

J. Phys. D: Appl. Phys.

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The electromagnetic behavior of a microwave sensor has specific relationship with the physical properties of the materials to be detected, e.g., the concentration of solution and the permittivity of gas. The microwave sensor can detect changes of EM response in real time, and obtain the material properties with low sample consumption, high efficiency and dispersion characteristics. This work presents a microfluidic sensor using spiral resonators and plasmonic metamaterials with confined electromagnetic fields for intensive resonance. Two microfluidic chips with spiral channels engraved in polydimethylsiloxane (PDMS) are also adopted to enhance the interaction between the electromagnetic fields and the carried liquids at resonance frequencies. The permittivity of liquid samples can be detected through the shift of resonance frequency. A prototype of the sensor is fabricated and tested with several regular solutions and organic solvents, showing a good performance in terms of low liquid consumption (8 μL), good sensitivity (410 MHz frequency offset when εr changes from 1 to 36.7) and low cost

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“…A metallic ring with corrugated gratings is the elementary structure of spoof LSPs. There have been several reports on spoof LSP sensors, such as quarter-mode spoof LSP microfluidic chemical sensor [18,19], flexible and printed microwave plasmonic sensor [20], single hybrid plasmonic resonator [21], and effective LSP sensor [22]. Those spoof LSP structures could improve Q-factor and sensitivity significantly, compared to conventional resonator structures [21,23].…”

Section: Introductionmentioning

confidence: 99%

Mixed-Resolution High-Q Sensor Based on Hybridized Spoof Localized Surface Plasmons

et al. 2022

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Spoof localized surface plasmons (LSPs) have proven significant advantages in sensing and detection. In this work, we propose a high-Q-factor and high-sensitivity hybridized spoof LSP sensor and a mixed-resolution algorithm. The sensor consists of two concentric inner and outer LSP structures with corrugated rings coupled to each other. The achieved Q-factor is up to 178, and the sensing figure of merit (FoM) is up to 30. Moreover, a mixed-resolution algorithm, combined with multiple resonant peaks, is proposed to enhance the Q-factor and sensing FoM. This algorithm doubles the Q-factor and sensing FoM effectively. This mixed-resolution sensor has a wide range of application prospects in the field of high-frequency on-chip resonators and sensors.

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Flexible and Printed Microwave Plasmonic Sensor for Noninvasive Measurement

Cited by 22 publications

References 39 publications

AI‐Based Metamaterial Design for Wearables

AI‐Based Metamaterial Design for Wearables

A metamaterial based microfluidic sensor for permittivity detection of liquid

Mixed-Resolution High-Q Sensor Based on Hybridized Spoof Localized Surface Plasmons

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