Electrocardiography, electromyography, and accelerometry signals collected with BITalino while swimming: Device assembly and preliminary results

Andre G. Pinto, Gil Dias, Virginie Felizardo, Nuno Pombo, Hugo Silva, Paulo A. P. Fazendeiro, Rute Crisóstomo, N. Garcia
{"title":"Electrocardiography, electromyography, and accelerometry signals collected with BITalino while swimming: Device assembly and preliminary results","authors":"Andre G. Pinto, Gil Dias, Virginie Felizardo, Nuno Pombo, Hugo Silva, Paulo A. P. Fazendeiro, Rute Crisóstomo, N. Garcia","doi":"10.1109/ICCP.2016.7737119","DOIUrl":null,"url":null,"abstract":"The measurement of bio-signals is an important tool not only to assess the physical fitness, but also to prevent and/or to anticipate clinical episodes. In this paper a prototype to collect biosignals in water environments is described. This prototype collects three different signals such as accelerometry, electrocardiography, and electromyography, and was developed based on a modified off-the-shelf BITalino, to allow its use in water related bio-signal research. Several challenges are raised related with acquisition, transmission, and analysis of data, namely on defying environments such as swimming. The proposed model revealed it accuracy and suitability when applied on the swimming context.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCP.2016.7737119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

The measurement of bio-signals is an important tool not only to assess the physical fitness, but also to prevent and/or to anticipate clinical episodes. In this paper a prototype to collect biosignals in water environments is described. This prototype collects three different signals such as accelerometry, electrocardiography, and electromyography, and was developed based on a modified off-the-shelf BITalino, to allow its use in water related bio-signal research. Several challenges are raised related with acquisition, transmission, and analysis of data, namely on defying environments such as swimming. The proposed model revealed it accuracy and suitability when applied on the swimming context.
游泳时用BITalino收集的心电图、肌电图和加速度测量信号:设备组装和初步结果
生物信号的测量不仅是评估身体健康的重要工具,而且也是预防和/或预测临床发作的重要工具。本文介绍了一种用于水环境中生物信号采集的样机。这个原型收集了三种不同的信号,如加速度计、心电图和肌电图,并基于改进的现成BITalino开发,允许其用于与水相关的生物信号研究。提出了与数据采集、传输和分析相关的几个挑战,即在游泳等恶劣环境中。该模型在游泳环境下的应用表明了其准确性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信