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
Link To Document :
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