智能面罩与针织线圈传感器呼吸数据之间的相关性

Matthew Setiawan, Muhammad Adil Malik, K. Fobelets
{"title":"智能面罩与针织线圈传感器呼吸数据之间的相关性","authors":"Matthew Setiawan, Muhammad Adil Malik, K. Fobelets","doi":"10.3390/engproc2023052015","DOIUrl":null,"url":null,"abstract":": We present an approach for inspecting the composition of exhaled breath from data obtained from sensors integrated in a knitted garment. Simultaneous recordings were made for temperature, relative humidity, CO 2 and VOC, using sensors sewn in a smart mask and sensors in the garment that include two knitted respiratory inductive plethysmography coils and one accelerometer. We established that the correlation between signals obtained from the smart mask sensors and those from chest and abdomen movement is linear. A linear regression model on mean centralized data was used to train a linear model to predict CO 2 and VOC data in exhaled breath from sensor readings in the knitted garment only.","PeriodicalId":516632,"journal":{"name":"E-Textiles 2023","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlation between Smart Mask and Knitted Coil Sensors Breathing Data\",\"authors\":\"Matthew Setiawan, Muhammad Adil Malik, K. Fobelets\",\"doi\":\"10.3390/engproc2023052015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": We present an approach for inspecting the composition of exhaled breath from data obtained from sensors integrated in a knitted garment. Simultaneous recordings were made for temperature, relative humidity, CO 2 and VOC, using sensors sewn in a smart mask and sensors in the garment that include two knitted respiratory inductive plethysmography coils and one accelerometer. We established that the correlation between signals obtained from the smart mask sensors and those from chest and abdomen movement is linear. A linear regression model on mean centralized data was used to train a linear model to predict CO 2 and VOC data in exhaled breath from sensor readings in the knitted garment only.\",\"PeriodicalId\":516632,\"journal\":{\"name\":\"E-Textiles 2023\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"E-Textiles 2023\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/engproc2023052015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"E-Textiles 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/engproc2023052015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

:我们介绍了一种从集成在针织服装中的传感器获得的数据中检测呼出气体成分的方法。我们使用缝在智能面罩中的传感器和服装中的传感器(包括两个针织呼吸感应式胸透线圈和一个加速度计)同时记录了温度、相对湿度、一氧化碳和挥发性有机化合物的数据。我们发现,从智能面罩传感器获得的信号与胸部和腹部运动的信号之间存在线性相关。我们使用平均集中数据的线性回归模型来训练一个线性模型,以便仅通过针织服装中的传感器读数来预测呼出气体中的 CO 2 和 VOC 数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Correlation between Smart Mask and Knitted Coil Sensors Breathing Data
: We present an approach for inspecting the composition of exhaled breath from data obtained from sensors integrated in a knitted garment. Simultaneous recordings were made for temperature, relative humidity, CO 2 and VOC, using sensors sewn in a smart mask and sensors in the garment that include two knitted respiratory inductive plethysmography coils and one accelerometer. We established that the correlation between signals obtained from the smart mask sensors and those from chest and abdomen movement is linear. A linear regression model on mean centralized data was used to train a linear model to predict CO 2 and VOC data in exhaled breath from sensor readings in the knitted garment only.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Stitching as a Feasible Connection Method for Washable Textile-Encapsulated Flexible Solar Cells A Textile Solid-State Zinc-Ion Capacitor Statement of Peer Review Improved Skin–Electrode Impedance Characteristics of Embroidered Textile Electrodes for Sustainable Long-Term EMG Monitoring Controlled Sweat Removal in Performance Wear Using Electrically Activated Textiles
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1