• DocumentCode
    3191845
  • Title

    Open architecture software platform for biomedical signal analysis

  • Author

    Duque, Juliano J. ; Silva, Luiz E. V. ; Murta, Luiz O.

  • Author_Institution
    Dept. of Comput. & Math., Univ. of Sao Paulo, Sao Paulo, Brazil
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    2084
  • Lastpage
    2087
  • Abstract
    Biomedical signals are very important reporters of the physiological status in human body. Therefore, great attention is devoted to the study of analysis methods that help extracting the greatest amount of relevant information from these signals. There are several free of charge softwares which can process biomedical data, but they are usually closed architecture, not allowing addition of new functionalities by users. This paper presents a proposal for free open architecture software platform for biomedical signal analysis, named JBioS. Implemented in Java, the platform offers some basic functionalities to load and display signals, and allows the integration of new software components through plugins. JBioS facilitates validation of new analysis methods and provides an environment for multi-methods analysis. Plugins can be developed for preprocessing, analyzing and simulating signals. Some applications have been done using this platform, suggesting that, with these features, JBioS presents itself as a software with potential applications in both research and clinical area.
  • Keywords
    feature extraction; medical signal processing; physiology; public domain software; JBioS; biomedical data; biomedical signal analysis; human body; multimethod analysis; open architecture software platform; physiological status; plugins; relevant information extraction; signal display; signal load; signal preprocessing; signal simulation; Electrocardiography; Heart rate variability; Java; Physiology; Signal analysis; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6609943
  • Filename
    6609943