Xueke Wang, Jinyu Zi, Yi Chen, Qiang Wu, Zhimin Xiang, Yongqiang Tu, Peng Yang, Yanfen Wan
{"title":"用于实时生命体征监测和人机交互的多级微结构离子皮肤","authors":"Xueke Wang, Jinyu Zi, Yi Chen, Qiang Wu, Zhimin Xiang, Yongqiang Tu, Peng Yang, Yanfen Wan","doi":"10.1002/eem2.12767","DOIUrl":null,"url":null,"abstract":"<p>Skin-like electronics research aiming to mimic even surpass human-like specific tactile cognition by operating perception-to-cognition-to-feedback of stimulus to build intelligent cognition systems for certain imperceptible or inappreciable signals was so attractive. Herein, we constructed an all-in-one tri-modal pressure sensing wearable device to address the issue of power supply by integrating multistage microstructured ionic skin (MM i-skin) and thermoelectric self-power staffs, which exhibits high sensitivity simultaneously. The MM i-skin with multi-stage “interlocked” configurations achieved precise recognition of subtle signals, where the sensitivity reached up to 3.95 kPa<sup>−1</sup>, as well as response time of 46 ms, cyclic stability (over 1500 cycles), a wide detection range of 0–200 kPa. Furthermore, we developed the thermoelectricity nanogenerator, piezoelectricity nanogenerator, and piezocapacitive sensing as an integrated tri-modal pressure sensing, denoted as P-iskin, T-iskin, and C-iskin, respectively. This multifunctional ionic skin enables real-time monitoring of weak body signals, rehab guidance, and robotic motion recognition, demonstrating potential for Internet of things (IoT) applications involving the artificial intelligence-motivated sapiential healthcare Internet (SHI) and widely distributed human-machine interaction (HMI).</p>","PeriodicalId":11554,"journal":{"name":"Energy & Environmental Materials","volume":null,"pages":null},"PeriodicalIF":13.0000,"publicationDate":"2024-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eem2.12767","citationCount":"0","resultStr":"{\"title\":\"Multistage Microstructured Ionic Skin for Real-Time Vital Signs Monitoring and Human-Machine Interaction\",\"authors\":\"Xueke Wang, Jinyu Zi, Yi Chen, Qiang Wu, Zhimin Xiang, Yongqiang Tu, Peng Yang, Yanfen Wan\",\"doi\":\"10.1002/eem2.12767\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Skin-like electronics research aiming to mimic even surpass human-like specific tactile cognition by operating perception-to-cognition-to-feedback of stimulus to build intelligent cognition systems for certain imperceptible or inappreciable signals was so attractive. Herein, we constructed an all-in-one tri-modal pressure sensing wearable device to address the issue of power supply by integrating multistage microstructured ionic skin (MM i-skin) and thermoelectric self-power staffs, which exhibits high sensitivity simultaneously. The MM i-skin with multi-stage “interlocked” configurations achieved precise recognition of subtle signals, where the sensitivity reached up to 3.95 kPa<sup>−1</sup>, as well as response time of 46 ms, cyclic stability (over 1500 cycles), a wide detection range of 0–200 kPa. Furthermore, we developed the thermoelectricity nanogenerator, piezoelectricity nanogenerator, and piezocapacitive sensing as an integrated tri-modal pressure sensing, denoted as P-iskin, T-iskin, and C-iskin, respectively. This multifunctional ionic skin enables real-time monitoring of weak body signals, rehab guidance, and robotic motion recognition, demonstrating potential for Internet of things (IoT) applications involving the artificial intelligence-motivated sapiential healthcare Internet (SHI) and widely distributed human-machine interaction (HMI).</p>\",\"PeriodicalId\":11554,\"journal\":{\"name\":\"Energy & Environmental Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":13.0000,\"publicationDate\":\"2024-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eem2.12767\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy & Environmental Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/eem2.12767\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy & Environmental Materials","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eem2.12767","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Multistage Microstructured Ionic Skin for Real-Time Vital Signs Monitoring and Human-Machine Interaction
Skin-like electronics research aiming to mimic even surpass human-like specific tactile cognition by operating perception-to-cognition-to-feedback of stimulus to build intelligent cognition systems for certain imperceptible or inappreciable signals was so attractive. Herein, we constructed an all-in-one tri-modal pressure sensing wearable device to address the issue of power supply by integrating multistage microstructured ionic skin (MM i-skin) and thermoelectric self-power staffs, which exhibits high sensitivity simultaneously. The MM i-skin with multi-stage “interlocked” configurations achieved precise recognition of subtle signals, where the sensitivity reached up to 3.95 kPa−1, as well as response time of 46 ms, cyclic stability (over 1500 cycles), a wide detection range of 0–200 kPa. Furthermore, we developed the thermoelectricity nanogenerator, piezoelectricity nanogenerator, and piezocapacitive sensing as an integrated tri-modal pressure sensing, denoted as P-iskin, T-iskin, and C-iskin, respectively. This multifunctional ionic skin enables real-time monitoring of weak body signals, rehab guidance, and robotic motion recognition, demonstrating potential for Internet of things (IoT) applications involving the artificial intelligence-motivated sapiential healthcare Internet (SHI) and widely distributed human-machine interaction (HMI).
期刊介绍:
Energy & Environmental Materials (EEM) is an international journal published by Zhengzhou University in collaboration with John Wiley & Sons, Inc. The journal aims to publish high quality research related to materials for energy harvesting, conversion, storage, and transport, as well as for creating a cleaner environment. EEM welcomes research work of significant general interest that has a high impact on society-relevant technological advances. The scope of the journal is intentionally broad, recognizing the complexity of issues and challenges related to energy and environmental materials. Therefore, interdisciplinary work across basic science and engineering disciplines is particularly encouraged. The areas covered by the journal include, but are not limited to, materials and composites for photovoltaics and photoelectrochemistry, bioprocessing, batteries, fuel cells, supercapacitors, clean air, and devices with multifunctionality. The readership of the journal includes chemical, physical, biological, materials, and environmental scientists and engineers from academia, industry, and policy-making.