Multifunctional Flexible Sensor with the Hybrid Staggered-Rib Conductive Network for Intelligent Recognition of Human Biomechanical and Electrophysiological Signals

Flexible sensors as emerging wearable electronics are widely utilized in exercise guidance, medical services, intelligent robots, etc., providing rich data for the Internet of Things and promoting the intelligence and convenience of people’s lives. However, it is still difficult to design and fabric...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ACS applied nano materials 2024-10, Vol.7 (20), p.24061-24070
Hauptverfasser: Zhu, Guanjun, Wang, Xin, Zhang, Gailian, Yue, Yang, Yuan, Shengkui, Du, Hongliang, Zhang, Zhimin, Ren, Fang, Ren, Penggang, Sun, Qinghua
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 24070
container_issue 20
container_start_page 24061
container_title ACS applied nano materials
container_volume 7
creator Zhu, Guanjun
Wang, Xin
Zhang, Gailian
Yue, Yang
Yuan, Shengkui
Du, Hongliang
Zhang, Zhimin
Ren, Fang
Ren, Penggang
Sun, Qinghua
description Flexible sensors as emerging wearable electronics are widely utilized in exercise guidance, medical services, intelligent robots, etc., providing rich data for the Internet of Things and promoting the intelligence and convenience of people’s lives. However, it is still difficult to design and fabricate multifunctional flexible sensors with excellent comprehensive performance and universality by balancing various sensing parameters in a scientific and economical way. Herein, a flexible sensor with a synergistic conductive network composed of linear and staggered-rib conductive pathways is prepared by screen printing, which realizes the improvement of comprehensive sensing performance and the expansion of functions. The prepared flexible sensor exhibits ultrahigh sensitivity, wide response range, excellent stability, and durability and has been successfully applied to detect human biomechanical signals induced by mouth opening, chewing, swallowing, breathing, clenching, and various joint movements. The motion pattern recognition for different movements of the knee joint is achieved by artificial intelligence with a high accuracy of 93.7%. Furthermore, the portable wireless physiological monitoring device assembled by the prepared sensor is developed to continuously monitor the electromyography (EMG) and electrocardiogram (ECG) signals for a long time, stably, reliably, and accurately in a noninvasive and wearable manner, which can provide high-value big data support for health warning, early disease screening, and diagnosis, showing great application potential and commercial value in the field of intelligent medicine and personalized health care. The innovative and scalable sensing performance optimization strategy proposed in this work promotes the popularization and application of high-performance and multifunctional wearable electronics.
doi_str_mv 10.1021/acsanm.4c04636
format Article
fullrecord <record><control><sourceid>acs_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1021_acsanm_4c04636</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>c922591899</sourcerecordid><originalsourceid>FETCH-LOGICAL-a159t-734a30d351c3fdcaa26ed75cd1a5b637a461059a3cc4695bde409514781342f23</originalsourceid><addsrcrecordid>eNp1kDFPwzAQhS0EEhV0ZfaMlGLHTkJGqFpaqYDUwhw59iVxce3KcSj9P_xQUtqBhelOd_e9e3oI3VAyoiSmd0K2wm5GXBKesvQMDeIk4xHJM3L-p79Ew7ZdE0JoTlNGyAB9P3cm6KqzMmhnhcFTA1-6NIBXYFvn8U6HBocG8Gxfeq3wKoi6Bg8qWuoSj51VXY9-An6BsHP-A1c9NLcBjNE12ICXIF1t9UEeuwrPuo2w-FG7DchGWC37n8IqPDEgg3fbZt9qZ1z9u1jpuvfUXqOLqi8wPNUr9D6dvI1n0eL1aT5-WESCJnmIMsYFI4olVLJKSSHiFFSWSEVFUqYsEzylJMkFk5KneVIq4CRPKM_uKeNxFbMrNDrqSu_a1kNVbL3eCL8vKCkOMRfHmItTzD1wewT6ebF2nT-4_e_4B6pfg7U</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Multifunctional Flexible Sensor with the Hybrid Staggered-Rib Conductive Network for Intelligent Recognition of Human Biomechanical and Electrophysiological Signals</title><source>ACS Journals: American Chemical Society Web Editions</source><creator>Zhu, Guanjun ; Wang, Xin ; Zhang, Gailian ; Yue, Yang ; Yuan, Shengkui ; Du, Hongliang ; Zhang, Zhimin ; Ren, Fang ; Ren, Penggang ; Sun, Qinghua</creator><creatorcontrib>Zhu, Guanjun ; Wang, Xin ; Zhang, Gailian ; Yue, Yang ; Yuan, Shengkui ; Du, Hongliang ; Zhang, Zhimin ; Ren, Fang ; Ren, Penggang ; Sun, Qinghua</creatorcontrib><description>Flexible sensors as emerging wearable electronics are widely utilized in exercise guidance, medical services, intelligent robots, etc., providing rich data for the Internet of Things and promoting the intelligence and convenience of people’s lives. However, it is still difficult to design and fabricate multifunctional flexible sensors with excellent comprehensive performance and universality by balancing various sensing parameters in a scientific and economical way. Herein, a flexible sensor with a synergistic conductive network composed of linear and staggered-rib conductive pathways is prepared by screen printing, which realizes the improvement of comprehensive sensing performance and the expansion of functions. The prepared flexible sensor exhibits ultrahigh sensitivity, wide response range, excellent stability, and durability and has been successfully applied to detect human biomechanical signals induced by mouth opening, chewing, swallowing, breathing, clenching, and various joint movements. The motion pattern recognition for different movements of the knee joint is achieved by artificial intelligence with a high accuracy of 93.7%. Furthermore, the portable wireless physiological monitoring device assembled by the prepared sensor is developed to continuously monitor the electromyography (EMG) and electrocardiogram (ECG) signals for a long time, stably, reliably, and accurately in a noninvasive and wearable manner, which can provide high-value big data support for health warning, early disease screening, and diagnosis, showing great application potential and commercial value in the field of intelligent medicine and personalized health care. The innovative and scalable sensing performance optimization strategy proposed in this work promotes the popularization and application of high-performance and multifunctional wearable electronics.</description><identifier>ISSN: 2574-0970</identifier><identifier>EISSN: 2574-0970</identifier><identifier>DOI: 10.1021/acsanm.4c04636</identifier><language>eng</language><publisher>American Chemical Society</publisher><ispartof>ACS applied nano materials, 2024-10, Vol.7 (20), p.24061-24070</ispartof><rights>2024 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a159t-734a30d351c3fdcaa26ed75cd1a5b637a461059a3cc4695bde409514781342f23</cites><orcidid>0000-0002-7932-0888 ; 0000-0003-2924-2110</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acsanm.4c04636$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acsanm.4c04636$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids></links><search><creatorcontrib>Zhu, Guanjun</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Zhang, Gailian</creatorcontrib><creatorcontrib>Yue, Yang</creatorcontrib><creatorcontrib>Yuan, Shengkui</creatorcontrib><creatorcontrib>Du, Hongliang</creatorcontrib><creatorcontrib>Zhang, Zhimin</creatorcontrib><creatorcontrib>Ren, Fang</creatorcontrib><creatorcontrib>Ren, Penggang</creatorcontrib><creatorcontrib>Sun, Qinghua</creatorcontrib><title>Multifunctional Flexible Sensor with the Hybrid Staggered-Rib Conductive Network for Intelligent Recognition of Human Biomechanical and Electrophysiological Signals</title><title>ACS applied nano materials</title><addtitle>ACS Appl. Nano Mater</addtitle><description>Flexible sensors as emerging wearable electronics are widely utilized in exercise guidance, medical services, intelligent robots, etc., providing rich data for the Internet of Things and promoting the intelligence and convenience of people’s lives. However, it is still difficult to design and fabricate multifunctional flexible sensors with excellent comprehensive performance and universality by balancing various sensing parameters in a scientific and economical way. Herein, a flexible sensor with a synergistic conductive network composed of linear and staggered-rib conductive pathways is prepared by screen printing, which realizes the improvement of comprehensive sensing performance and the expansion of functions. The prepared flexible sensor exhibits ultrahigh sensitivity, wide response range, excellent stability, and durability and has been successfully applied to detect human biomechanical signals induced by mouth opening, chewing, swallowing, breathing, clenching, and various joint movements. The motion pattern recognition for different movements of the knee joint is achieved by artificial intelligence with a high accuracy of 93.7%. Furthermore, the portable wireless physiological monitoring device assembled by the prepared sensor is developed to continuously monitor the electromyography (EMG) and electrocardiogram (ECG) signals for a long time, stably, reliably, and accurately in a noninvasive and wearable manner, which can provide high-value big data support for health warning, early disease screening, and diagnosis, showing great application potential and commercial value in the field of intelligent medicine and personalized health care. The innovative and scalable sensing performance optimization strategy proposed in this work promotes the popularization and application of high-performance and multifunctional wearable electronics.</description><issn>2574-0970</issn><issn>2574-0970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kDFPwzAQhS0EEhV0ZfaMlGLHTkJGqFpaqYDUwhw59iVxce3KcSj9P_xQUtqBhelOd_e9e3oI3VAyoiSmd0K2wm5GXBKesvQMDeIk4xHJM3L-p79Ew7ZdE0JoTlNGyAB9P3cm6KqzMmhnhcFTA1-6NIBXYFvn8U6HBocG8Gxfeq3wKoi6Bg8qWuoSj51VXY9-An6BsHP-A1c9NLcBjNE12ICXIF1t9UEeuwrPuo2w-FG7DchGWC37n8IqPDEgg3fbZt9qZ1z9u1jpuvfUXqOLqi8wPNUr9D6dvI1n0eL1aT5-WESCJnmIMsYFI4olVLJKSSHiFFSWSEVFUqYsEzylJMkFk5KneVIq4CRPKM_uKeNxFbMrNDrqSu_a1kNVbL3eCL8vKCkOMRfHmItTzD1wewT6ebF2nT-4_e_4B6pfg7U</recordid><startdate>20241025</startdate><enddate>20241025</enddate><creator>Zhu, Guanjun</creator><creator>Wang, Xin</creator><creator>Zhang, Gailian</creator><creator>Yue, Yang</creator><creator>Yuan, Shengkui</creator><creator>Du, Hongliang</creator><creator>Zhang, Zhimin</creator><creator>Ren, Fang</creator><creator>Ren, Penggang</creator><creator>Sun, Qinghua</creator><general>American Chemical Society</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7932-0888</orcidid><orcidid>https://orcid.org/0000-0003-2924-2110</orcidid></search><sort><creationdate>20241025</creationdate><title>Multifunctional Flexible Sensor with the Hybrid Staggered-Rib Conductive Network for Intelligent Recognition of Human Biomechanical and Electrophysiological Signals</title><author>Zhu, Guanjun ; Wang, Xin ; Zhang, Gailian ; Yue, Yang ; Yuan, Shengkui ; Du, Hongliang ; Zhang, Zhimin ; Ren, Fang ; Ren, Penggang ; Sun, Qinghua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a159t-734a30d351c3fdcaa26ed75cd1a5b637a461059a3cc4695bde409514781342f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Guanjun</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Zhang, Gailian</creatorcontrib><creatorcontrib>Yue, Yang</creatorcontrib><creatorcontrib>Yuan, Shengkui</creatorcontrib><creatorcontrib>Du, Hongliang</creatorcontrib><creatorcontrib>Zhang, Zhimin</creatorcontrib><creatorcontrib>Ren, Fang</creatorcontrib><creatorcontrib>Ren, Penggang</creatorcontrib><creatorcontrib>Sun, Qinghua</creatorcontrib><collection>CrossRef</collection><jtitle>ACS applied nano materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Guanjun</au><au>Wang, Xin</au><au>Zhang, Gailian</au><au>Yue, Yang</au><au>Yuan, Shengkui</au><au>Du, Hongliang</au><au>Zhang, Zhimin</au><au>Ren, Fang</au><au>Ren, Penggang</au><au>Sun, Qinghua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multifunctional Flexible Sensor with the Hybrid Staggered-Rib Conductive Network for Intelligent Recognition of Human Biomechanical and Electrophysiological Signals</atitle><jtitle>ACS applied nano materials</jtitle><addtitle>ACS Appl. Nano Mater</addtitle><date>2024-10-25</date><risdate>2024</risdate><volume>7</volume><issue>20</issue><spage>24061</spage><epage>24070</epage><pages>24061-24070</pages><issn>2574-0970</issn><eissn>2574-0970</eissn><abstract>Flexible sensors as emerging wearable electronics are widely utilized in exercise guidance, medical services, intelligent robots, etc., providing rich data for the Internet of Things and promoting the intelligence and convenience of people’s lives. However, it is still difficult to design and fabricate multifunctional flexible sensors with excellent comprehensive performance and universality by balancing various sensing parameters in a scientific and economical way. Herein, a flexible sensor with a synergistic conductive network composed of linear and staggered-rib conductive pathways is prepared by screen printing, which realizes the improvement of comprehensive sensing performance and the expansion of functions. The prepared flexible sensor exhibits ultrahigh sensitivity, wide response range, excellent stability, and durability and has been successfully applied to detect human biomechanical signals induced by mouth opening, chewing, swallowing, breathing, clenching, and various joint movements. The motion pattern recognition for different movements of the knee joint is achieved by artificial intelligence with a high accuracy of 93.7%. Furthermore, the portable wireless physiological monitoring device assembled by the prepared sensor is developed to continuously monitor the electromyography (EMG) and electrocardiogram (ECG) signals for a long time, stably, reliably, and accurately in a noninvasive and wearable manner, which can provide high-value big data support for health warning, early disease screening, and diagnosis, showing great application potential and commercial value in the field of intelligent medicine and personalized health care. The innovative and scalable sensing performance optimization strategy proposed in this work promotes the popularization and application of high-performance and multifunctional wearable electronics.</abstract><pub>American Chemical Society</pub><doi>10.1021/acsanm.4c04636</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7932-0888</orcidid><orcidid>https://orcid.org/0000-0003-2924-2110</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2574-0970
ispartof ACS applied nano materials, 2024-10, Vol.7 (20), p.24061-24070
issn 2574-0970
2574-0970
language eng
recordid cdi_crossref_primary_10_1021_acsanm_4c04636
source ACS Journals: American Chemical Society Web Editions
title Multifunctional Flexible Sensor with the Hybrid Staggered-Rib Conductive Network for Intelligent Recognition of Human Biomechanical and Electrophysiological Signals
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T18%3A47%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-acs_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multifunctional%20Flexible%20Sensor%20with%20the%20Hybrid%20Staggered-Rib%20Conductive%20Network%20for%20Intelligent%20Recognition%20of%20Human%20Biomechanical%20and%20Electrophysiological%20Signals&rft.jtitle=ACS%20applied%20nano%20materials&rft.au=Zhu,%20Guanjun&rft.date=2024-10-25&rft.volume=7&rft.issue=20&rft.spage=24061&rft.epage=24070&rft.pages=24061-24070&rft.issn=2574-0970&rft.eissn=2574-0970&rft_id=info:doi/10.1021/acsanm.4c04636&rft_dat=%3Cacs_cross%3Ec922591899%3C/acs_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true