AgOCN Piezoresistive Sensor for Human Motion Signal Detection Based on Electrospinning Method

Flexible sensors are mainly used in medical treatment, human body signal monitoring, and other fields and are an important part of flexible electronic devices, with high sensitivity, good mechanical properties, and other advantages. However, human signal monitoring devices are often hindered from being put to medical use due to the disadvantages of large size, slow response time, and poor mechanical properties. In this regard, in this paper, by means of electrostatic spinning technology, the composite spinning of polyacrylonitrile, <i>N</i>,<i>N</i>-dimethylformamide, and AgCl, AgOCN piezoresistive sensors with a gradient pore structure were constructed, combined with the sandwich packaging process integrated into the fixture, integrated with sensors such as coin cell, AD acquisition module, and 4G communication module on STM32 microcontroller, assembled into lightweight, flexible sensing devices. By doping the proportion of Ag<sup>+</sup>, having significantly optimized sensor performance, the wide detection range was boosted to 300 kPa (60× improvement over Fe+ doping), and the response/recovery times were 110 and 340 ms. In addition, tests of basic human movement, such as finger flexion, phonation, and breathing, were all found to have good applications. Based on their excellent mechanical properties, homemade foot sensors are used for critical point monitoring of walking, stair climbing, and other behaviors. A series of experiments reflect that the present AgOCN piezoresistive sensor has a good ability to detect human motion.

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Publication Details

Journal
ACS Omega
Published
2025-05-24
DOI
https://doi.org/10.1021/acsomega.5c03381
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67

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article

AgOCN Piezoresistive Sensor for Human Motion Signal Detection Based on Electrospinning Method

Yu Sun, Ying Guo, Ye Mu, Xiuling Yu et al.
1 citations
ACS Omega
Advanced Sensor and Energy Harvesting Materials
0.67
article

AgOCN Piezoresistive Sensor for Human Motion Signal Detection Based on Electrospinning Method

Yu Sun, Ying Guo, Ye Mu, Xiuling Yu, Hongli Chao, Daming Zhang, Lingyun Ni, Jinghuan Hu, Shijun Li, Hang Zhu, He Gong, Tianli Hu, Mengchao Chen
article en
1 citations

Abstract

Flexible sensors are mainly used in medical treatment, human body signal monitoring, and other fields and are an important part of flexible electronic devices, with high sensitivity, good mechanical properties, and other advantages. However, human signal monitoring devices are often hindered from being put to medical use due to the disadvantages of large size, slow response time, and poor mechanical properties. In this regard, in this paper, by means of electrostatic spinning technology, the composite spinning of polyacrylonitrile, <i>N</i>,<i>N</i>-dimethylformamide, and AgCl, AgOCN piezoresistive sensors with a gradient pore structure were constructed, combined with the sandwich packaging process integrated into the fixture, integrated with sensors such as coin cell, AD acquisition module, and 4G communication module on STM32 microcontroller, assembled into lightweight, flexible sensing devices. By doping the proportion of Ag<sup>+</sup>, having significantly optimized sensor performance, the wide detection range was boosted to 300 kPa (60× improvement over Fe+ doping), and the response/recovery times were 110 and 340 ms. In addition, tests of basic human movement, such as finger flexion, phonation, and breathing, were all found to have good applications. Based on their excellent mechanical properties, homemade foot sensors are used for critical point monitoring of walking, stair climbing, and other behaviors. A series of experiments reflect that the present AgOCN piezoresistive sensor has a good ability to detect human motion.

ACS OmegaVol. 10(22)
Jilin University (CN), Wuzhou University (CN), Jilin Medical University (CN), Jilin Agricultural University (CN), Intelligent Health (United Kingdom) (GB)
Education Department of Jilin Province, Department of Science and Technology of Jilin Province
Openalex Percentile: Top 31%
Advanced Sensor and Energy Harvesting Materials
0.67
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