Recent advances in flexible hydrogel sensors: Enhancing data processing and machine learning for intelligent perception.

Journal: Biosensors & bioelectronics
Published Date: Jun 17, 2024

Abstract

With the advent of flexible electronics and sensing technology, hydrogel-based flexible sensors have exhibited considerable potential across a diverse range of applications, including wearable electronics and soft robotics. Recently, advanced machine learning (ML) algorithms have been integrated into flexible hydrogel sensing technology to enhance their data processing capabilities and to achieve intelligent perception. However, there are no reviews specifically focusing on the data processing steps and analysis based on the raw sensing data obtained by flexible hydrogel sensors. Here we provide a comprehensive review of the latest advancements and breakthroughs in intelligent perception achieved through the fusion of ML algorithms with flexible hydrogel sensors, across various applications. Moreover, this review thoroughly examines the data processing techniques employed in flexible hydrogel sensors, offering valuable perspectives expected to drive future data-driven applications in this field.

Authors

  • Derrick Boateng
    National Engineering Research Center of Speech and Language Information Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, China. jundu@ustc.edu.cn.
  • Xukai Li
    Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.
  • Yuhan Zhu
    Department of Plastic Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Hao Zhang
    College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
  • Meng Wu
  • Jifang Liu
    The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510700, China.
  • Yan Kang
    Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning, People's Republic of China.
  • Hongbo Zeng
    Department of Chemical and Materials Engineering, University of Alberta, Edmonton T6G 1H9, Canada. yanglikmust@163.com.
  • Linbo Han
    College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, 518188, China. Electronic address: hanlinbo@sztu.edu.cn.

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