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柔性导电纺织传感器：表征方法与行为分析

Soft Conductive Textile Sensors: Characterization Methodology and Behavioral Analysis.

作者信息

Gamberini Giulia, Tognarelli Selene, Menciassi Arianna

机构信息

Health Science Interdisciplinary Center, Scuola Superiore Sant'Anna, 56124 Pisa, Italy.

The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pontedera, Italy.

出版信息

Sensors (Basel). 2025 Jul 17;25(14):4448. doi: 10.3390/s25144448.

DOI:10.3390/s25144448
PMID:40732589
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12300518/
Abstract

Resistive stretching sensors are currently used in healthcare robotics due to their ability to vary electrical resistance when subjected to mechanical strain. However, commercial sensors often lack the softness required for integration into soft structures. This study presents a detailed methodology to characterize fabric-based resistive stretching sensors, focusing on both static and dynamic performance, for application in a smart vascular simulator for surgical training. Five sensors, called #1-#5, were developed using conductive fabrics integrated into soft silicone. Stability and fatigue tests were performed to evaluate their behavior. The surface structure and fiber distribution were analyzed using digital microscopy and scanning electron microscopy, while element analysis was performed via Energy-Dispersive X-ray Spectroscopy. Sensors #1 and #3 are the most stable with a low relative standard deviation and good sensitivity at low strains. Sensor #3 showed the lowest hysteresis, while sensor #1 had the widest operating range (0-30% strain). Although all sensors showed non-monotonic behavior across 0-100% strain, deeper investigation suggested that the sensor response depends on the configuration of conductive paths within and between fabric layers. Soft fabric-based resistive sensors represent a promising technical solution for physical simulators for surgical training.

摘要

电阻式拉伸传感器目前因其在受到机械应变时能够改变电阻的能力而被应用于医疗保健机器人领域。然而，商业传感器往往缺乏集成到软结构中所需的柔软性。本研究提出了一种详细的方法来表征基于织物的电阻式拉伸传感器，重点关注其静态和动态性能，以应用于手术训练的智能血管模拟器。使用集成到软硅胶中的导电织物开发了五个传感器，称为#1 - #5。进行了稳定性和疲劳测试以评估它们的性能。使用数字显微镜和扫描电子显微镜分析了表面结构和纤维分布，同时通过能量色散X射线光谱进行了元素分析。传感器#1和#3最稳定，相对标准偏差低，在低应变下具有良好的灵敏度。传感器#3显示出最低的滞后现象，而传感器#1具有最宽的工作范围（0 - 30%应变）。尽管所有传感器在0 - 100%应变范围内均表现出非单调行为，但深入研究表明传感器响应取决于织物层内和层间导电路径的配置。基于柔软织物的电阻式传感器是手术训练物理模拟器的一种有前途的技术解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f975/12300518/8188d51f416d/sensors-25-04448-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f975/12300518/bc1d40f79765/sensors-25-04448-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f975/12300518/e0b91fc0e6d2/sensors-25-04448-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f975/12300518/7f1f30187fc7/sensors-25-04448-g0A3.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f975/12300518/508306e35f26/sensors-25-04448-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f975/12300518/50178a49378e/sensors-25-04448-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f975/12300518/3c8eb81aa86b/sensors-25-04448-g004.jpg
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