Design Strategies for Strain‐Insensitive Wearable Healthcare Sensors and Perspective Based on the Seebeck Coefficient

Abstract Large healthcare markets have been created in highly developed economies to improve the quality of life. Wearable healthcare sensors are attracting considerable interest because of their 24 h real‐time monitoring capability, which make them useful in the detection of potential diseases. To...

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Main Authors: Yangyang Xin, Jian Zhou, Hussein Nesser, Gilles Lubineau
Format: Article
Language:English
Published: Wiley-VCH 2023-01-01
Series:Advanced Electronic Materials
Subjects:
Online Access:https://doi.org/10.1002/aelm.202200534
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author Yangyang Xin
Jian Zhou
Hussein Nesser
Gilles Lubineau
author_facet Yangyang Xin
Jian Zhou
Hussein Nesser
Gilles Lubineau
author_sort Yangyang Xin
collection DOAJ
description Abstract Large healthcare markets have been created in highly developed economies to improve the quality of life. Wearable healthcare sensors are attracting considerable interest because of their 24 h real‐time monitoring capability, which make them useful in the detection of potential diseases. To guide the diagnosis, these sensors are designed to monitor various physical (e.g., pressure, temperature, strain, touch, bioelectricity, etc...) or chemical (e.g., glucose, oxygen, bacteria, viruses, proteins, etc...) quantities. In order to be comfortable to wear for a longer period of time, the sensors must be made with good stretchability to conformably deform with human organs. However, high stretchability always brings the problem that the measurement is very often polluted by the deformation of the substrate, making the data unreliable. According to each the sensor mechanism, multiple strain‐insensitive design strategies compatible with large deformations of the human body are discussed and the performance of these strategies are comprehensively analyzed. Then, how the intrinsic strain insensitivity of the Seebeck coefficient of nanomaterial percolation networks can define an alternative promising strategy is demostrated. Finally, the outlooks for future research and challenges in realizing strain‐insensitive sensors by applying the Seebeck effect are reported.
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spelling doaj.art-90f3c11e74a241088e26f178c7ccd4d82023-07-26T01:35:51ZengWiley-VCHAdvanced Electronic Materials2199-160X2023-01-0191n/an/a10.1002/aelm.202200534Design Strategies for Strain‐Insensitive Wearable Healthcare Sensors and Perspective Based on the Seebeck CoefficientYangyang Xin0Jian Zhou1Hussein Nesser2Gilles Lubineau3King Abdullah University of Science and Technology (KAUST) Physical Sciences and Engineering Division (PSE) Mechanics of Composites for Energy and Mobility Lab Thuwal 23955‐6900 Saudi ArabiaSchool of Materials Science and Engineering Sun Yat‐sen University Guangzhou Guangdong 510275 P. R. ChinaKing Abdullah University of Science and Technology (KAUST) Physical Sciences and Engineering Division (PSE) Mechanics of Composites for Energy and Mobility Lab Thuwal 23955‐6900 Saudi ArabiaKing Abdullah University of Science and Technology (KAUST) Physical Sciences and Engineering Division (PSE) Mechanics of Composites for Energy and Mobility Lab Thuwal 23955‐6900 Saudi ArabiaAbstract Large healthcare markets have been created in highly developed economies to improve the quality of life. Wearable healthcare sensors are attracting considerable interest because of their 24 h real‐time monitoring capability, which make them useful in the detection of potential diseases. To guide the diagnosis, these sensors are designed to monitor various physical (e.g., pressure, temperature, strain, touch, bioelectricity, etc...) or chemical (e.g., glucose, oxygen, bacteria, viruses, proteins, etc...) quantities. In order to be comfortable to wear for a longer period of time, the sensors must be made with good stretchability to conformably deform with human organs. However, high stretchability always brings the problem that the measurement is very often polluted by the deformation of the substrate, making the data unreliable. According to each the sensor mechanism, multiple strain‐insensitive design strategies compatible with large deformations of the human body are discussed and the performance of these strategies are comprehensively analyzed. Then, how the intrinsic strain insensitivity of the Seebeck coefficient of nanomaterial percolation networks can define an alternative promising strategy is demostrated. Finally, the outlooks for future research and challenges in realizing strain‐insensitive sensors by applying the Seebeck effect are reported.https://doi.org/10.1002/aelm.202200534nanomaterial percolation networksSeebeck coefficientstrain‐insensitivitywearable healthcare sensors
spellingShingle Yangyang Xin
Jian Zhou
Hussein Nesser
Gilles Lubineau
Design Strategies for Strain‐Insensitive Wearable Healthcare Sensors and Perspective Based on the Seebeck Coefficient
Advanced Electronic Materials
nanomaterial percolation networks
Seebeck coefficient
strain‐insensitivity
wearable healthcare sensors
title Design Strategies for Strain‐Insensitive Wearable Healthcare Sensors and Perspective Based on the Seebeck Coefficient
title_full Design Strategies for Strain‐Insensitive Wearable Healthcare Sensors and Perspective Based on the Seebeck Coefficient
title_fullStr Design Strategies for Strain‐Insensitive Wearable Healthcare Sensors and Perspective Based on the Seebeck Coefficient
title_full_unstemmed Design Strategies for Strain‐Insensitive Wearable Healthcare Sensors and Perspective Based on the Seebeck Coefficient
title_short Design Strategies for Strain‐Insensitive Wearable Healthcare Sensors and Perspective Based on the Seebeck Coefficient
title_sort design strategies for strain insensitive wearable healthcare sensors and perspective based on the seebeck coefficient
topic nanomaterial percolation networks
Seebeck coefficient
strain‐insensitivity
wearable healthcare sensors
url https://doi.org/10.1002/aelm.202200534
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AT husseinnesser designstrategiesforstraininsensitivewearablehealthcaresensorsandperspectivebasedontheseebeckcoefficient
AT gilleslubineau designstrategiesforstraininsensitivewearablehealthcaresensorsandperspectivebasedontheseebeckcoefficient