Skin-inspired highly stretchable and conformable matrix networks for multifunctional sensing.

Skin-inspired highly stretchable and conformable matrix networks for multifunctional sensing.
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受皮肤启发的高度可拉伸和舒适的矩阵网络,用于多功能传感

DOI:
10.1038/s41467-017-02685-9
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发表时间:
2018-01-16
影响因子:
16.6
通讯作者:
Wang ZL
Wang ZL
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Hua Q;Sun J;Liu H;Bao R;Yu R;Zhai J;Pan C;Wang ZL

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机械感觉电子(或电子皮肤,电子皮肤)由机械柔性和可拉伸的传感器网络组成,可以检测和量化各种刺激以模拟人类体感系统,通过各种感觉受体和神经通路在皮肤中感知触觉,热/冷和疼痛。在这里,我们提出了一种皮肤启发的高度可拉伸和适形矩阵网络(SCMN),它成功地扩展了电子皮肤感测功能,包括但不限于温度、面内应变、湿度、光、磁场、压力和接近度。实现的特定可扩展传感器单元集成在一个结构化的聚酰亚胺网络,潜在的三维(3D)集成方案,也可以实现同时多刺激传感,并实现可调的传感范围和大面积的可扩展性。我们进一步构建了一个个性化的智能假体,并展示了其在实时空间压力映射和温度估计中的应用。展望未来,这种SCMN在人形机器人、新型假肢、人机界面和健康监测技术方面有更广泛的应用。电子皮肤已经被开发来模仿人类的感觉系统,但是由于电子信号的耦合,多个刺激的同时检测仍然是一个很大的挑战。在这里,Hua等人在一个集成了七种不同模式的可拉伸和可整合的矩阵网络中克服了这个问题。
Mechanosensation electronics (or Electronic skin, e-skin) consists of mechanically flexible and stretchable sensor networks that can detect and quantify various stimuli to mimic the human somatosensory system, with the sensations of touch, heat/cold, and pain in skin through various sensory receptors and neural pathways. Here we present a skin-inspired highly stretchable and conformable matrix network (SCMN) that successfully expands the e-skin sensing functionality including but not limited to temperature, in-plane strain, humidity, light, magnetic field, pressure, and proximity. The actualized specific expandable sensor units integrated on a structured polyimide network, potentially in three-dimensional (3D) integration scheme, can also fulfill simultaneous multi-stimulus sensing and achieve an adjustable sensing range and large-area expandability. We further construct a personalized intelligent prosthesis and demonstrate its use in real-time spatial pressure mapping and temperature estimation. Looking forward, this SCMN has broader applications in humanoid robotics, new prosthetics, human–machine interfaces, and health-monitoring technologies. Electronic skins have been developed to emulate human sensory systems, but simultaneous detection of multiple stimuli remains a big challenge due to coupling of electronic signals. Here, Hua et al. overcome this problem in a stretchable and conformable matrix network integrated with seven different modes.
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