Suppr超能文献

用于生命体征监测的新型纺织可穿戴系统的设计与评估

Design and Evaluation of Novel Textile Wearable Systems for the Surveillance of Vital Signals.

作者信息

Trindade Isabel G, Machado da Silva José, Miguel Rui, Pereira Madalena, Lucas José, Oliveira Luís, Valentim Bruno, Barreto Jorge, Santos Silva Manuel

机构信息

IBEB-FCUL, College of Sciences of University of Lisbon, 1749-016 Lisbon, Portugal.

FibEnTech Unit, University of Beira Interior, 6201-001 Covilhã, Portugal.

出版信息

Sensors (Basel). 2016 Sep 24;16(10):1573. doi: 10.3390/s16101573.

Abstract

This article addresses the design, development, and evaluation of T-shirt prototypes that embed novel textile sensors for the capture of cardio and respiratory signals. The sensors are connected through textile interconnects to either an embedded custom-designed data acquisition and transmission unit or to snap fastener terminals for connection to external monitoring devices. The performance of the T-shirt prototype is evaluated in terms of signal-to-noise ratio amplitude and signal interference caused by baseline wander and motion artefacts, through laboratory tests with subjects in standing and walking conditions. Performance tests were also conducted in a hospital environment using a T-shirt prototype connected to a commercial three-channel Holter monitoring device. The textile sensors and interconnects were realized with the assistance of an industrial six-needle digital embroidery tool and their resistance to wear addressed with normalized tests of laundering and abrasion. The performance of these wearable systems is discussed, and pathways and methods for their optimization are highlighted.

摘要

本文介绍了嵌入新型纺织传感器以捕获心脏和呼吸信号的T恤原型的设计、开发和评估。这些传感器通过纺织互连件连接到嵌入式定制设计的数据采集和传输单元,或连接到用于连接外部监测设备的按扣端子。通过在站立和行走条件下对受试者进行实验室测试,从信噪比幅度以及由基线漂移和运动伪影引起的信号干扰方面评估T恤原型的性能。还在医院环境中使用连接到商用三通道动态心电图监测设备的T恤原型进行了性能测试。纺织传感器和互连件借助工业六针数字刺绣工具实现,并通过洗涤和磨损的标准化测试解决其耐磨性问题。讨论了这些可穿戴系统的性能,并强调了其优化的途径和方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd2c/5087362/d367a1ea32c2/sensors-16-01573-g009.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验