Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Generative model for information metamaterial design.

Nature computational science·2026

Same author

Space-Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

A metasurface-enabled green-smart window for intelligent wireless communications with high visible transparency and low infrared emissivity.

Nature communications·2026

Same author

Metasurface-Enabled Active-Like Passive Radar.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

Deep-learning-empowered programmable topolectrical circuits.

Nature communications·2026

Same author

Space-time-coding metasurfaces for high-dimensional communications with OAM-, polarization-, and frequency-division multiplexing.

Light, science & applications·2026

Search research articles

Related Experiment Video

Updated: Jan 7, 2026

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

Flexible and Robust Metasurface-Based Wearable Sensor for Intelligent Human Monitoring.

Long Chen^1,2, Xin Yu Li^1,2, Jian Lin Su^1,2

¹State Key Laboratory of Millimeter Wave, School of Information Science and Engineering, Southeast University, Nanjing, China.

Advanced Materials (Deerfield Beach, Fla.)

|December 26, 2025

Summary

This study introduces a novel wearable sensor using topological photonics and AI to overcome motion artifacts in healthcare monitoring. The device ensures stable signal integrity for reliable vital sign monitoring and personalized health assessments.

Keywords:

flexible metasurface noninvasive healthcare monitoring topological photonics wave‐body interaction wearable sensors

More Related Videos

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

Published on: November 24, 2016

Related Experiment Videos

Last Updated: Jan 7, 2026

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

Published on: November 24, 2016

Area of Science:

Topological photonics
AI-enhanced sensing
Wearable healthcare technology

Background:

Conventional wearable sensors struggle with signal integrity due to motion and deformation.
Noninvasive healthcare monitoring requires robust and adaptable sensing solutions.

Purpose of the Study:

To develop a wearable sensor integrating topological photonics and AI for multifunctional human monitoring.
To overcome limitations of existing sensors in dynamic conditions and mechanical stress.

Main Methods:

Integration of topologically protected flexible metasurface technology with AI-enhanced sensing.
Harnessing electromagnetic wave-body interactions for cardiopulmonary dynamics capture.
Utilizing deep learning for personalized biometric feature extraction.

Main Results:

Demonstrated stable sensor performance under bending and fracturing.
Achieved simultaneous vital sign monitoring, activity recognition, and individual identification.
Enabled real-time health assessment across diverse scenarios (exercise to rest).

Conclusions:

The developed platform offers adaptive wearability and intelligent signal processing for next-generation smart healthcare.
Represents a transformative approach for chronic disease management and AI-driven personalized healthcare.