• 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