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AI-Assisted Self-Powered Wearable Dual-Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics.

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Title: AI-Assisted Self-Powered Wearable Dual-Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics.
Authors: Li T; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, Hubei, China., Liu H; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, Hubei, China., Liu G; Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P. R. China.; School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, P. R. China., Wang Q; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, Hubei, China., Zhou H; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, Hubei, China., Liu G; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China., Xu Y; Department of Neurology, Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China., Wang J; Renmin Hospital of Wuhan University, Wuhan, Hubei, China., Wang Z; Department of Encephalopathy II, Yangxin County Traditional Chinese Medicine Hospital, Huangshi, Hubei, China., Zhu F; Department of Neurology, Yangxin County People's Hospital, Huangshi, Hubei, China., Luo F; Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P. R. China.; School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, P. R. China., Wang ZL; Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P. R. China.; School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, P. R. China., Zhang C; Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P. R. China.; School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, P. R. China.
Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 May; Vol. 13 (27), pp. e22179. Date of Electronic Publication: 2026 Mar 12.
Publication Type: Journal Article
Journal Info: Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE
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  Data: AI-Assisted Self-Powered Wearable Dual-Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics.
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  Data: <searchLink fieldCode="AU" term="%22Li+T%22">Li T</searchLink>; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Liu+H%22">Liu H</searchLink>; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Liu+G%22">Liu G</searchLink>; Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P. R. China.; School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, P. R. China.<br /><searchLink fieldCode="AU" term="%22Wang+Q%22">Wang Q</searchLink>; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Zhou+H%22">Zhou H</searchLink>; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Liu+G%22">Liu G</searchLink>; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Xu+Y%22">Xu Y</searchLink>; Department of Neurology, Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Renmin Hospital of Wuhan University, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Wang+Z%22">Wang Z</searchLink>; Department of Encephalopathy II, Yangxin County Traditional Chinese Medicine Hospital, Huangshi, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Zhu+F%22">Zhu F</searchLink>; Department of Neurology, Yangxin County People's Hospital, Huangshi, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Luo+F%22">Luo F</searchLink>; Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P. R. China.; School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, P. R. China.<br /><searchLink fieldCode="AU" term="%22Wang+ZL%22">Wang ZL</searchLink>; Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P. R. China.; School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, P. R. China.<br /><searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P. R. China.; School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, P. R. China.
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              Text: 2026 May
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