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Wearable Smart Fabric Based on Hybrid E-Fiber Sensor for Real-Time Finger Motion Detection

Wearable electronic sensors have attracted considerable interest in hand motion monitoring because of their small size, flexibility, and biocompatibility. However, the range of motion and sensitivity of many sensors are inadequate for complex and precise finger motion capture. Here, organic and inor...

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Autores principales: Zhuo, Erhan, Wang, Ziwen, Chen, Xiaochen, Zou, Junhao, Fang, Yuan, Zhuo, Jiekai, Li, Yicheng, Zhang, Jun, Gong, Zidan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346702/
https://www.ncbi.nlm.nih.gov/pubmed/37447578
http://dx.doi.org/10.3390/polym15132934
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author Zhuo, Erhan
Wang, Ziwen
Chen, Xiaochen
Zou, Junhao
Fang, Yuan
Zhuo, Jiekai
Li, Yicheng
Zhang, Jun
Gong, Zidan
author_facet Zhuo, Erhan
Wang, Ziwen
Chen, Xiaochen
Zou, Junhao
Fang, Yuan
Zhuo, Jiekai
Li, Yicheng
Zhang, Jun
Gong, Zidan
author_sort Zhuo, Erhan
collection PubMed
description Wearable electronic sensors have attracted considerable interest in hand motion monitoring because of their small size, flexibility, and biocompatibility. However, the range of motion and sensitivity of many sensors are inadequate for complex and precise finger motion capture. Here, organic and inorganic materials were incorporated to fabricate a hybrid electronic sensor and optimized and woven into fabric for hand motion detection. The sensor was made from flexible porous polydimethylsiloxane (PDMS) filled with multiwalled carbon nanotubes (MWCNTs). The weight ratios of MWCNTs and geometric characteristics were optimized to improve the hybrid electronic sensor, which showed a high elongation at the breaking point (i.e., more than 100%) and a good sensitivity of 1.44. The strain-related deformation of the PDMS/MWCNT composite network resulted in a variation in the sensor resistance; thus, the strain level that corresponds to different finger motions is be calculated. Finally, the fabricated and optimized electronic sensor in filiform structure with a 6% MWCNT ratio was integrated with smart fabric to create a finger sleeve for real-time motion capture. In conclusion, a novel hybrid E-fiber sensor based on PDMS and MWCNTs was successfully fabricated in the current study with an optimal M/P ratio and structure, and textile techniques were adopted as new packaging approaches for such soft electronic sensors to create smart fabric for wearable and precise detection with highly enhanced sensing performance. The successful results in the current study demonstrate the great potential of such hybrid soft sensors in smart wearable healthcare management, including motion detection.
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spelling pubmed-103467022023-07-15 Wearable Smart Fabric Based on Hybrid E-Fiber Sensor for Real-Time Finger Motion Detection Zhuo, Erhan Wang, Ziwen Chen, Xiaochen Zou, Junhao Fang, Yuan Zhuo, Jiekai Li, Yicheng Zhang, Jun Gong, Zidan Polymers (Basel) Article Wearable electronic sensors have attracted considerable interest in hand motion monitoring because of their small size, flexibility, and biocompatibility. However, the range of motion and sensitivity of many sensors are inadequate for complex and precise finger motion capture. Here, organic and inorganic materials were incorporated to fabricate a hybrid electronic sensor and optimized and woven into fabric for hand motion detection. The sensor was made from flexible porous polydimethylsiloxane (PDMS) filled with multiwalled carbon nanotubes (MWCNTs). The weight ratios of MWCNTs and geometric characteristics were optimized to improve the hybrid electronic sensor, which showed a high elongation at the breaking point (i.e., more than 100%) and a good sensitivity of 1.44. The strain-related deformation of the PDMS/MWCNT composite network resulted in a variation in the sensor resistance; thus, the strain level that corresponds to different finger motions is be calculated. Finally, the fabricated and optimized electronic sensor in filiform structure with a 6% MWCNT ratio was integrated with smart fabric to create a finger sleeve for real-time motion capture. In conclusion, a novel hybrid E-fiber sensor based on PDMS and MWCNTs was successfully fabricated in the current study with an optimal M/P ratio and structure, and textile techniques were adopted as new packaging approaches for such soft electronic sensors to create smart fabric for wearable and precise detection with highly enhanced sensing performance. The successful results in the current study demonstrate the great potential of such hybrid soft sensors in smart wearable healthcare management, including motion detection. MDPI 2023-07-03 /pmc/articles/PMC10346702/ /pubmed/37447578 http://dx.doi.org/10.3390/polym15132934 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhuo, Erhan
Wang, Ziwen
Chen, Xiaochen
Zou, Junhao
Fang, Yuan
Zhuo, Jiekai
Li, Yicheng
Zhang, Jun
Gong, Zidan
Wearable Smart Fabric Based on Hybrid E-Fiber Sensor for Real-Time Finger Motion Detection
title Wearable Smart Fabric Based on Hybrid E-Fiber Sensor for Real-Time Finger Motion Detection
title_full Wearable Smart Fabric Based on Hybrid E-Fiber Sensor for Real-Time Finger Motion Detection
title_fullStr Wearable Smart Fabric Based on Hybrid E-Fiber Sensor for Real-Time Finger Motion Detection
title_full_unstemmed Wearable Smart Fabric Based on Hybrid E-Fiber Sensor for Real-Time Finger Motion Detection
title_short Wearable Smart Fabric Based on Hybrid E-Fiber Sensor for Real-Time Finger Motion Detection
title_sort wearable smart fabric based on hybrid e-fiber sensor for real-time finger motion detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346702/
https://www.ncbi.nlm.nih.gov/pubmed/37447578
http://dx.doi.org/10.3390/polym15132934
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