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基于智能柔性纺织传感器的动态尿量检测系统研究。

Research on dynamic urine volume detection system based on smart flexible textile sensors.

机构信息

College of Textile, Zhongyuan University of Technology, Zhengzhou, 450007, Henan, China.

Henan Province Collaborative Innovation Center of Textile and Garment Industry, Zhengzhou, 450007, Henan, China.

出版信息

Sci Rep. 2024 Sep 28;14(1):22459. doi: 10.1038/s41598-024-73179-0.

Abstract

Urine leakage volume is an important indicator reflecting the severity of incontinence in patients. Currently, there are limited smart diapers capable of continuous dynamic monitoring of urine volume. This study developed two types of urine volume sensors, resistive and capacitive, which were integrated with traditional diapers to assess urine leakage levels: mild leakage (0-5 mL), moderate leakage (6-12 mL), and severe leakage (above 12 mL). Three patterns of resistive urine volume sensors were designed, and the results showed that the A pattern could accurately determine urine volume and frequency levels. Additionally, three electrode spacing designs were tested for the capacitive urine volume sensors. The results indicated that the sensor with a 1 cm electrode spacing could determine the urine volume range, with each 1 mL increase in urine causing a capacitance rise of approximately 1.5-1.8 pF, with an error of about ± 0.5 mL per increment. Both resistive and capacitive methods showed high accuracy in monitoring urine volume and frequency. This study validated the feasibility of smart flexible fabric sensors in detecting urine volume and frequency, providing a potential solution for better assessing and managing the condition of incontinence patients.

摘要

尿失禁患者的漏尿量是反映其严重程度的一个重要指标。目前,能够对尿量进行持续动态监测的智能纸尿裤数量有限。本研究开发了两种类型的尿量传感器,即电阻式和电容式,它们与传统纸尿裤集成在一起,以评估漏尿程度:轻度漏尿(0-5 毫升)、中度漏尿(6-12 毫升)和重度漏尿(超过 12 毫升)。设计了三种电阻式尿量传感器模式,结果表明 A 模式可以准确确定尿量和频率水平。此外,还测试了三种电容式尿量传感器的电极间距设计。结果表明,电极间距为 1 厘米的传感器可以确定尿量范围,每增加 1 毫升尿液,电容会增加约 1.5-1.8 pF,每个增量的误差约为 ± 0.5 毫升。电阻式和电容式方法在监测尿量和频率方面均具有较高的准确性。本研究验证了智能柔性织物传感器在检测尿量和频率方面的可行性,为更好地评估和管理尿失禁患者的病情提供了一种潜在的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11439066/f5091deb16cc/41598_2024_73179_Fig1_HTML.jpg

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