DocumentCode
1590931
Title
PhysioTrace: An efficient toolkit for biomedical signal processing
Author
De jonckheere, J. ; Logier, R. ; Dassonneville, A. ; Delmar, G. ; Vasseur, C.
Author_Institution
Lab. d´´Automatique Genie Informatique et Signal, CNRS UMR, Villeneuve d´´Ascq
fYear
2006
Firstpage
6739
Lastpage
6741
Abstract
Healthcare monitoring applications requires the measurement and the analysis of multiple physiological data. In the field of biomedical research, these data are issued from different devices involving data centralization and synchronization difficulties. On the other hand, the analysis of the acquired data requires high level digital signal processing tools. In this paper we describe a real time toolkit for biomedical data acquisition, centralization, processing and visualization. This toolkit, composed of both hardware and software modules, allows users to model, test and perform all kind of digital signal processing algorithms for all kind of biomedical signals. These highly efficient hardware and software modules have been developed and tested especially for biomedical studies and used in a large number of clinical investigations. So, for developers, using such a toolkit will reduce the development time while increasing the application performances
Keywords
data acquisition; data visualisation; electrocardiography; medical signal processing; patient monitoring; ECG; PhysioTrace real time toolkit; biomedical data acquisition; biomedical signal processing; data centralization; data visualization; hardware module; healthcare monitoring applications; software module; Bioinformatics; Biomedical measurements; Biomedical monitoring; Biomedical signal processing; Data visualization; Digital signal processing; Hardware; Medical services; Signal analysis; Software testing; Real time; biomedical signals; digital signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1616051
Filename
1616051
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