TitleHydrogel Pressure Distribution Sensors Based on an Imaging Strategy and Machine Learning
AuthorsLiu, Zhengxin
Zhang, Tingwei
Yang, Mei
Gao, Weizheng
Wu, Songjie
Wang, Kaile
Dong, Feihong
Dang, Jie
Zhou, Diange
Zhang, Jue
AffiliationPeking Univ, Acad Adv Interdisciplinary Studies, Beijing 100871, Peoples R China
Peking Univ, Coll Engn, Beijing 100871, Peoples R China
Peking Univ, Peoples Hosp, Arthrit Clin & Res Ctr, Beijing 100044, Peoples R China
KeywordsSTRAIN SENSORS
HALLUX-VALGUS
RECONSTRUCTION
TOMOGRAPHY
Issue Date24-Aug-2021
PublisherACS APPLIED ELECTRONIC MATERIALS
AbstractA flexible hydrogel pressure distribution sensor has promising application prospects. However, the current hydrogel pressure distribution sensors are based on an array-type structure with complicated wires and extremely low resolution, which greatly reduce the flexibility of hydrogel and limit their applications. To overcome these limitations, we proposed and designed a hydrogel pressure distribution sensor that is able to obtain pressure distribution inside a whole piece of hydrogel. This is specifically done by arranging electrodes only around the hydrogel, which employs the strategy of electrical impedance tomography (EIT). Meanwhile, PAAm/PAA-Fe3+ double-network hydrogels were prepared as hydrogel pressure-sensitive substrates, and the feasibility of PAAm/PAA-Fe3+ hydrogels as sensitive elements for hydrogel pressure distribution sensors was confirmed through mechanical and electrical tests. Furthermore, based on the hydrogel pressure distribution sensor, a pressure distribution reconstruction model was obtained with a machine learning method. To verify the feasibility of the hydrogel pressure distribution sensor based on the EIT strategy, the hydrogel sensor was applied with forces of known location and magnitude. Then, the actual sensor acquisition data were reconstructed and compared with the applied force.
URIhttp://hdl.handle.net/20.500.11897/624142
DOI10.1021/acsaelm.1c00488
IndexedEI
SCI(E)
Appears in Collections:前沿交叉学科研究院
工学院
人民医院

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