Paper Info
Title
Strategic framework for management of hybrid biosignals from study design to statistics
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.
Year
DOI
Venue
2015
10.1109/SAS.2015.7133580
Sensors Applications Symposium
Keywords
Field
DocType
data analysis,medical signal processing,prototypes,data management,data synchronization,hybrid biosignal management,server-client based design,biomedical research,data analysis,data management
Data science,Metadata,Synchronization,Client,Computer science,Data synchronization,Proof of concept,Data management
Conference
Citations 
PageRank 
References 
1
0.39
7
Authors
3
Name
Order
Citations
PageRank
florian thurk110.73
stefan kampusch233.33
Eugenijus Kaniusas3188.59