Analysis of a coverstitched stretch sensor for monitoring of breathing

Raul I. Ramos-Garcia, Fernanda Sotrate da Silva, Yashvanth Kondi, E. Sazonov, Lucy E. Dunne
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引用次数: 11

Abstract

Textile-based sensors are being integrated into garments for the monitoring of physiological signals from the human body. Commonly, textile sensors are implemented through knitting methods, while the response of these sensors from other structures has been less studied. This work analyzed the feasibility of using a textile-based stretch sensor with a coverstitch formation integrated into a commercial shirt for monitoring breathing patterns. For comparison, a Respiratory Inductive Plethysmograph (RIP) based breathing system was used. Data from three subjects performing eight different activities were collected in a controlled environment. The performance of the textile sensor was evaluated based on the mean absolute error breathing rate captured using different segment sizes and as the degree of correlation to the RIP sensor. Results showed an average breathing rate error of 0.97+0.42 breaths/epoch for an epoch size of 10s. The average correlation with the RIP sensor signals was p=0.41+0.2. Results suggest that this garment-integrated sensor could be potentially used in the monitoring of breathing rate.
一种用于呼吸监测的复缝式拉伸传感器的分析
基于纺织品的传感器正被集成到服装中,用于监测来自人体的生理信号。通常,纺织品传感器是通过编织方法实现的,而对其他结构传感器的响应研究较少。这项工作分析了将一种基于纺织品的拉伸传感器与一件商业衬衫结合在一起,用于监测呼吸模式的可行性。为了进行比较,采用了基于呼吸感应容积描记仪(RIP)的呼吸系统。研究人员在一个受控的环境中收集了三名受试者进行八种不同活动的数据。织物传感器的性能是基于使用不同片段尺寸捕获的平均绝对误差呼吸率以及与RIP传感器的相关程度来评估的。结果显示,当epoch大小为10s时,平均呼吸率误差为0.97+0.42次/epoch。与RIP传感器信号的平均相关性为p=0.41+0.2。结果表明,这种服装集成传感器有可能用于监测呼吸频率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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