Localized Surface Plasmons on Textiles for Non-Contact Vital Sign Sensing

Yang, Xin; Tian, Xi; Ma, Boyuan; Li, Zhipeng; Nguyen, Dat T.; Ho, John S.

doi:10.1109/tap.2022.3177529

Cited by 10 publications

(5 citation statements)

References 59 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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“…Our approach employs wearable metamaterials—artificial materials with a subwavelength structure that enable extraordinary control over optical, acoustic, and radio-frequency fields 27 , 28 . Metamaterials have found broad applications in wireless technology, ranging from wireless communication 29 , 30 to remote sensing 31 – 33 , wireless power transfer 34 – 36 , and wave-based computing 37 , 38 . To implement our approach, we design metamaterial textiles that can passively facilitate the non-radiative propagation of radio-frequency signals along the surface of the body 39 – 41 , enabling direct communication between implants using established wireless protocols (Fig.…”

Section: Introductionmentioning

confidence: 99%

Implant-to-implant wireless networking with metamaterial textiles

et al. 2023

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Implanted bioelectronic devices can form distributed networks capable of sensing health conditions and delivering therapy throughout the body. Current clinically-used approaches for wireless communication, however, do not support direct networking between implants because of signal losses from absorption and reflection by the body. As a result, existing examples of such networks rely on an external relay device that needs to be periodically recharged and constitutes a single point of failure. Here, we demonstrate direct implant-to-implant wireless networking at the scale of the human body using metamaterial textiles. The textiles facilitate non-radiative propagation of radio-frequency signals along the surface of the body, passively amplifying the received signal strength by more than three orders of magnitude (>30 dB) compared to without the textile. Using a porcine model, we demonstrate closed-loop control of the heart rate by wirelessly networking a loop recorder and a vagus nerve stimulator at more than 40 cm distance. Our work establishes a wireless technology to directly network body-integrated devices for precise and adaptive bioelectronic therapies.

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“…At present, the application of the SRR in the field of EMS fabric has been rarely reported. The existing relevant literature mainly focuses on the research of textile-based antennas [ 22 , 23 ], sensors [ 24 , 25 ], and filtering [ 26 , 27 ], which mention their SE and absorbing bandwidths and other characteristics. For example, in order to filter and control the signal propagation along the ultra-high frequency (UHF) range of e-textile, transmission lines with one or more SRRs were loaded on a felt substrate, and a conclusion was obtained that the stopband level of metamaterial electronic textiles with compact embroidery was high.…”

Section: Introductionmentioning

confidence: 99%

Shielding Performance of Electromagnetic Shielding Fabric Implanted with “Split-Ring Resonator”

2023

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The electromagnetic shielding (EMS) fabric is an important electromagnetic protection product, which is widely applied in various fields. The improvement of its shielding effectiveness (SE) has always been the focus of research. This article proposes to implant a metamaterial structure of a “split-ring resonator (SRR)” in the EMS fabrics, so that the fabric not only maintains the porous and lightweight characteristics, but also obtains the SE improvement. With the help of the invisible embroidery technology, stainless-steel filaments were used to implant hexagonal SRRs inside the fabric. The effectiveness and influencing factors of the SRR implantation were described by testing the SE of the fabric and analyzing the experimental results. It was concluded that the SRR implantation inside the fabric can effectively improve the SE of the fabric. For the stainless-steel EMS fabric, the increase amplitude of the SE reached between 6 dB and 15 dB in most frequency bands. The overall SE of the fabric showed a decrease trend with the reduction of the outer diameter of the SRR. The decrease trend was sometimes fast and sometimes slow. The decreasing amplitudes were different in various frequency ranges. The number of embroidery threads had a certain effect on the SE of the fabric. When other parameters remained unchanged, the increase of the diameter of the embroidery thread resulted in the increase of the SE of the fabric. However, the overall improvement was not significant. Finally, this article also points out that other influencing factors of the SRR need to be explored, and the failure phenomenon may occur under certain situations. The proposed method has the advantages of the simple process, convenient design, no pore formation, SE improvement retaining the original porous characteristics of the fabric. This paper provides a new idea for the design, production, and development of new EMS fabrics.

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Localized Surface Plasmons on Textiles for Non-Contact Vital Sign Sensing

Cited by 10 publications

References 59 publications

AI‐Based Metamaterial Design for Wearables

AI‐Based Metamaterial Design for Wearables

Implant-to-implant wireless networking with metamaterial textiles

Shielding Performance of Electromagnetic Shielding Fabric Implanted with “Split-Ring Resonator”

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