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      Self‐Powered Biomimetic Pressure Sensor Based on Mn–Ag Electrochemical Reaction for Monitoring Rehabilitation Training of Athletes

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          Abstract

          Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual‐response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO 2/carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper‐like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open‐circuit voltage of 0.927 V, a short‐circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes’ rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices.

          Abstract

          A self‐powered pressure sensor utilizing a potential conversion mechanism based on electrochemical reactions is proposed. The proposed sensor incorporates interdigital electrodes and a microstructured electrolyte to increase the sensitive area. Additionally, a data acquisition and machine learning algorithm system are developed using the sensor microcontroller for real‐time monitoring of sports rehabilitation.

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          Author and article information

          Contributors
          yyli@qdu.edu.cn
          yang.li@sdu.edu.cn
          yzh17@qdu.edu.cn
          Journal
          Adv Sci (Weinh)
          Adv Sci (Weinh)
          10.1002/(ISSN)2198-3844
          ADVS
          Advanced Science
          John Wiley and Sons Inc. (Hoboken )
          2198-3844
          23 April 2024
          July 2024
          : 11
          : 25 ( doiID: 10.1002/advs.v11.25 )
          : 2401515
          Affiliations
          [ 1 ] College of Electronics and Information Qingdao University Qingdao 266071 China
          [ 2 ] Department of Computer Science and Engineering Sejong University Seoul 05006 South Korea
          [ 3 ] School of Integrated Circuits Shandong University Jinan 250101 China
          Author notes
          Author information
          https://orcid.org/0000-0002-2994-2523
          Article
          ADVS8190
          10.1002/advs.202401515
          11220713
          38654624
          4fe258be-3d55-4669-a613-ba3cbda19d7d
          © 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH

          This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

          History
          : 05 April 2024
          : 11 February 2024
          Page count
          Figures: 6, Tables: 0, Pages: 11, Words: 6999
          Funding
          Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
          Award ID: 61904092
          Award ID: 62181240278
          Award ID: 62301291
          Award ID: 62174068
          Funded by: Natural Science Foundation of Shandong Province , doi 10.13039/501100007129;
          Award ID: ZR2021ME052
          Funded by: Youth Innovation Team Project of Shandong Provincial Education Department
          Award ID: 2022KJ141
          Funded by: Taishan Scholars Project Special Funds
          Award ID: tsqn202312035
          Categories
          Research Article
          Research Article
          Custom metadata
          2.0
          July 3, 2024
          Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.5 mode:remove_FC converted:03.07.2024

          biomimetic pressure sensor,human health monitoring,hydrogel electrolyte,potentiometry,wearable device

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