DocumentCode :
715540
Title :
Strategic framework for management of hybrid biosignals from study design to statistics
Author :
Thurk, Florian ; Kampusch, Stefan ; Kaniusas, Eugenijus
Author_Institution :
Inst. of Electrodynamics, Microwave & Circuit Eng., Vienna Univ. of Technol., Vienna, Austria
fYear :
2015
fDate :
13-15 April 2015
Firstpage :
1
Lastpage :
5
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.
Keywords :
data analysis; medical signal processing; prototypes; data management; data synchronization; hybrid biosignal management; server-client based design; Bioinformatics; Biological system modeling; Biomedical measurement; Data models; Databases; Physiology; Servers; biomedical research; data analysis; data management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors Applications Symposium (SAS), 2015 IEEE
Conference_Location :
Zadar
Type :
conf
DOI :
10.1109/SAS.2015.7133580
Filename :
7133580
Link To Document :
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