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Flexible healable electromagnetic-interference-shielding bioelastichydrogel nanocomposite for machine learning-assisted highlysensitive sensing bioelectrode
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作者 Yunfei Zhang Zehui Li +6 位作者 Zhishan Xu Mingyue Xiao Yue Yuan Xiaolong Jia Rui Shi Liqun Zhang Pengbo Wan 《Aggregate》 EI CAS 2024年第5期220-232,共13页
The prosperous evolution of conductive hydrogel-based skin sensors is attract-ing tremendous attention nowadays.Nevertheless,it remains a great challenge to simultaneously integrate excellent mechanical strength,desir... The prosperous evolution of conductive hydrogel-based skin sensors is attract-ing tremendous attention nowadays.Nevertheless,it remains a great challenge to simultaneously integrate excellent mechanical strength,desirable electrical conduc-tivity,admirable sensing performance,and brilliant healability in hydrogel-based skin sensors for high-performance diagnostic healthcare sensing and wearable human-machine interface,as well as robust photothermal performance for promptly intelligent photothermal therapy followed by the medical diagnosis and superior electromagnetic interference(EMI)shielding performance for personal protec-tion.Herein,aflexible healable MXene hydrogel-based skin sensor is prepared through a delicate combination of MXene(Ti_(3)C_(2)T_(x))nanosheets network with the polymeric network.The as-prepared skin sensor is featured with significantly enhanced mechanical,conducting,and sensing performances,along with robust self-healability,good biocompatibility,and reliable injectability,enabling ultrasensitive human motion monitoring and teeny electrophysiological signals sensing.As a fron-tier technology in artificial intelligence,machine learning can facilitate to efficiently and precisely identify the electromyography signals produced by various human motions(such as variablefinger gestures)with up to 99.5%accuracy,affirming the reliability of the machine learning-assisted gesture identification with great poten-tial in smart personalized healthcare and human-machine interaction.Moreover,the MXene hydrogel-based skin sensor displays prominent EMI shielding performance,demonstrating the great promise of effective personal protection. 展开更多
关键词 electromagnetic interference shielding healable hydrogel nanocomposite machine learning ultrasensi-tive human-interactive sensing
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Flexible antibacterial degradable bioelastomer nanocomposites for ultrasensitive human–machine interaction sensing enabled by machine learning
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作者 Zihong Fu Mingcheng Wang +5 位作者 Chenlin Huang Zehui Li Yue Yuan Shikai Hu Liqun Zhang Pengbo Wan 《Aggregate》 EI CAS 2024年第3期384-396,共13页
Flexible wearables have attracted extensive interests for personal human motion sensing,intelligent disease diagnosis,and multifunctional electronic skins.How-ever,the reported flexible sensors,mostly exhibited narrow... Flexible wearables have attracted extensive interests for personal human motion sensing,intelligent disease diagnosis,and multifunctional electronic skins.How-ever,the reported flexible sensors,mostly exhibited narrow detection range,low sensitivity,limited degradability to aggravate environmental pollution from vast electronic wastes,and poor antibacterial performance to hardly improve skin dis-comfort and skin inflammation from bacterial growth under long-term wearing.Herein,bioinspired from human skin featuring highly sensitive tactile sensation with spinous microstructures for amplifying sensing sensitivity between epidermis and dermis,a wearable antibacterial degradable electronics is prepared from degrad-able elastomeric substrate with MXene-coated spinous microstructures templated from lotus leaf assembled with the interdigitated electrode.The degradable elas-tomer is facilely obtained with tunable modulus to match the modulus of human skin with improved hydrophilicity for rapid degradation.The as-obtained sensor displays ultra-low detection limit(0.2 Pa),higher sensitivity(up to 540.2 kPa^(-1)),outstand-ing cycling stability(>23,000 cycles),a wide detection range,robust degradability,and excellent antibacterial capability.Facilitated by machine learning,the collected sensing signals from the integrated sensors on volunteer's fingers to the related American Sign Language are effectively recognized with an accuracy up to 99%,showing excellent potential in wireless human movement sensing and smart machine learning-enabled human-machine interaction. 展开更多
关键词 ANTIBACTERIAL degradable bioelastomer nanocomposites MXene skin-inspiredflexible electronic sensor ultrasensitive intelligent wearable human-interactive sensing
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