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

IF 13 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Xueke Wang, Jinyu Zi, Yi Chen, Qiang Wu, Zhimin Xiang, Yongqiang Tu, Peng Yang, Yanfen Wan
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引用次数: 0

摘要

类肤电子学研究旨在通过对刺激的感知--认知--反馈来模拟甚至超越人类的特定触觉认知,从而针对某些难以感知或无法感知的信号建立智能认知系统,这一点非常具有吸引力。在此,我们构建了一种一体化的三模态压力传感可穿戴设备,通过集成多级微结构离子皮肤(MM i-skin)和热电自供电杖来解决供电问题,同时表现出高灵敏度。多级 "互锁 "配置的 MM i-skin 实现了对细微信号的精确识别,灵敏度高达 3.95 kPa-1,响应时间为 46 毫秒,周期稳定性(超过 1500 个周期),检测范围宽达 0-200 kPa。此外,我们还开发了集热电纳米发电机、压电纳米发电机和压电传感为一体的三模态压力传感,分别称为 P-iskin、T-iskin 和 C-iskin。这种多功能离子皮肤能够实时监测微弱的身体信号、进行康复指导和机器人动作识别,在以人工智能为动力的智能医疗互联网(SHI)和广泛分布的人机交互(HMI)等物联网(IoT)应用中展现了潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multistage Microstructured Ionic Skin for Real-Time Vital Signs Monitoring and Human-Machine Interaction

Multistage Microstructured Ionic Skin for Real-Time Vital Signs Monitoring and Human-Machine Interaction

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).

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来源期刊
Energy & Environmental Materials
Energy & Environmental Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
17.60
自引率
6.00%
发文量
66
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.
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