Strategic framework for management of hybrid biosignals from study design to statistics

F. Thürk, S. Kampusch, E. Kaniušas
{"title":"Strategic framework for management of hybrid biosignals from study design to statistics","authors":"F. Thürk, S. Kampusch, E. Kaniušas","doi":"10.1109/SAS.2015.7133580","DOIUrl":null,"url":null,"abstract":"A centralized framework for management of hybrid biosignals is proposed in order to design experimental studies, store hybrid biosignals and the associated metadata, view, validate, synchronize, and evaluate all data in a flexible and obvious way. Different studies performed at different times with different subjects, physiological maneuvers, applied devices and heterogeneous biosignals require a strategic and centralized framework to offer an individualized perspective on available data for a researcher to answer current research-related questions. Especially, administration of metadata of different studies and performed experiments require this centralized approach. When considering biomedical studies with large data quantities accumulated by regionally separated teams, data synchronization and their consistency inspection can significantly increase global efforts and thus costs and duration of scientific projects. For the first time, we present a server-client based design that enables users (researchers) to easily manage recorded data and the related meta-information via a website or client software. A prototype is already implemented as a first proof of concept.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2015.7133580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A centralized framework for management of hybrid biosignals is proposed in order to design experimental studies, store hybrid biosignals and the associated metadata, view, validate, synchronize, and evaluate all data in a flexible and obvious way. Different studies performed at different times with different subjects, physiological maneuvers, applied devices and heterogeneous biosignals require a strategic and centralized framework to offer an individualized perspective on available data for a researcher to answer current research-related questions. Especially, administration of metadata of different studies and performed experiments require this centralized approach. When considering biomedical studies with large data quantities accumulated by regionally separated teams, data synchronization and their consistency inspection can significantly increase global efforts and thus costs and duration of scientific projects. For the first time, we present a server-client based design that enables users (researchers) to easily manage recorded data and the related meta-information via a website or client software. A prototype is already implemented as a first proof of concept.
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
从研究设计到统计的混合生物信号管理战略框架
为了设计实验研究,存储混合生物信号和相关元数据,以灵活和明显的方式查看,验证,同步和评估所有数据,提出了一个集中的混合生物信号管理框架。在不同的时间、不同的受试者、不同的生理动作、不同的应用设备和不同的生物信号进行不同的研究,需要一个战略性和集中的框架,以提供一个个性化的视角,为研究人员提供可用数据,以回答当前的研究相关问题。特别是对不同研究和实验的元数据的管理需要这种集中的方法。在考虑由区域分离的团队积累大量数据的生物医学研究时,数据同步及其一致性检查可以显著增加全球工作量,从而增加科学项目的成本和工期。我们首次提出了一种基于服务器-客户端的设计,使用户(研究人员)可以通过网站或客户端软件轻松管理记录的数据和相关的元信息。原型已经作为概念的第一个证明实现了。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Microimmune algorithm for sensor network localization Empirical evaluation of OI-MAC: Direct interconnection between wireless sensor networks for collaborative monitoring DiverNet — A network of inertial sensors for real time diver visualization Sensor fusion for intrusion detection under false alarm constraints Fault tolerant and scalable IoT-based architecture for health monitoring
×
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