BioMeta: modular reprogrammable metasurface for noninvasive human respiration monitoring

Human vital-sign sensing using electromagnetic wave has emerged as a promising technology for the noninvasive monitoring of individuals' health status. Here, a modular reprogrammable metasurface system is presented to suppress noise in noninvasive human respiration sensing. The proposed reprogrammable Biological Metasurface (<i>BioMeta</i>) provides three-dimensional dynamic control over wavefront shaping and thus can reduce interference from human limb motions. This capability allows the system to acquire health data accurately and reliably and is particularly beneficial in real-world environments where human subjects may change posture or location frequently. Furthermore, the meta-atom in <i>BioMeta</i> is modular and detachable, thereby resulting in reusable properties and promoting environmental sustainability. Meanwhile, the characteristics of mechanical control enable <i>BioMeta</i> to operate without continuous power supply, thus saving energy to a certain extent. A contactless human respiration sensing prototype based on the proposed <i>BioMeta</i> is demonstrated. Experimental results validate that the <i>BioMeta</i> system can accurately monitor the breathing of multiple individuals with limb movements by means of time multiplexing, with an average estimation error of 0.5 respiration per minute. The proposed system enhances sensing accuracy and reliability for noninvasive human respiration monitoring, presenting a versatile and environmentally friendly solution for applications like elderly care and disease monitoring.

Authors

Institutions

Publication Details

Journal
Nanophotonics
Published
2025-03-27
DOI
https://doi.org/10.1515/nanoph-2025-0050
Citations
7
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
2.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BioMeta: modular reprogrammable metasurface for noninvasive human respiration monitoring

Jian Wei You, Tie Jun Cui, Ke Zhan Zhao, Xinyu Li et al.
7 citations
Nanophotonics
Metamaterials and Metasurfaces Applications
2.99
article

BioMeta: modular reprogrammable metasurface for noninvasive human respiration monitoring

Jian Wei You, Tie Jun Cui, Ke Zhan Zhao, Xinyu Li, Zi Xuan Cai, Long Chen, Qian Ma, Qiao Cong Peng, Shi Long Qin
article en
7 citations

Abstract

Human vital-sign sensing using electromagnetic wave has emerged as a promising technology for the noninvasive monitoring of individuals' health status. Here, a modular reprogrammable metasurface system is presented to suppress noise in noninvasive human respiration sensing. The proposed reprogrammable Biological Metasurface (<i>BioMeta</i>) provides three-dimensional dynamic control over wavefront shaping and thus can reduce interference from human limb motions. This capability allows the system to acquire health data accurately and reliably and is particularly beneficial in real-world environments where human subjects may change posture or location frequently. Furthermore, the meta-atom in <i>BioMeta</i> is modular and detachable, thereby resulting in reusable properties and promoting environmental sustainability. Meanwhile, the characteristics of mechanical control enable <i>BioMeta</i> to operate without continuous power supply, thus saving energy to a certain extent. A contactless human respiration sensing prototype based on the proposed <i>BioMeta</i> is demonstrated. Experimental results validate that the <i>BioMeta</i> system can accurately monitor the breathing of multiple individuals with limb movements by means of time multiplexing, with an average estimation error of 0.5 respiration per minute. The proposed system enhances sensing accuracy and reliability for noninvasive human respiration monitoring, presenting a versatile and environmentally friendly solution for applications like elderly care and disease monitoring.

NanophotonicsVol. 14(7)
Southeast University (CN)
National Natural Science Foundation of China
Life in Land, Responsible consumption and production
Openalex Percentile: Top 9%
Metamaterials and Metasurfaces Applications
2.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.