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

被引:19
作者
Boateng, Derrick [1 ,2 ,3 ]
Li, Xukai [3 ]
Zhu, Yuhan [3 ]
Zhang, Hao [4 ]
Wu, Meng [5 ]
Liu, Jifang [6 ]
Kang, Yan [1 ,2 ,3 ]
Zeng, Hongbo [5 ]
Han, Linbo [3 ]
机构
[1] Shenzhen Univ, Coll Appl Sci, Shenzhen 518060, Peoples R China
[2] Shenzhen Univ, Sch Biomed Engn, Guangdong Key Lab Biomed Measurements & Ultrasound, Natl Reg Key Technol Engn Lab Med Ultrasound,Med S, Shenzhen 518060, Peoples R China
[3] Shenzhen Technol Univ, Coll Hlth Sci & Environm Engn, Shenzhen 518188, Peoples R China
[4] Hainan Univ, Sch Phys & Optoelect Engn, Haikou 570228, Peoples R China
[5] Univ Alberta, Chem & Mat Engn, Edmonton, AB T6G 2V4, Canada
[6] Guangzhou Med Univ, Affiliated Hosp 5, Dept Cardiol, Guangzhou 510700, Guangdong, Peoples R China
关键词
Flexible hydrogel sensors; Intelligent perception; Data processing; Machine learning (ML); TRIBOELECTRIC NANOGENERATORS; CONDUCTIVE HYDROGELS; NEURAL-NETWORKS; SELF-ADHESIVE; STRAIN SENSOR; RECOGNITION; SYSTEM;
D O I
10.1016/j.bios.2024.116499
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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.
引用
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页数:13
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