title: PhysioTrace: An efficient toolkit for biomedical signal processing.
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.
authors.affiliation: Lab. d'Automatique Genie Informatique et Signal, CNRS UMR, Villeneuve d'Ascq.
authors.forename: J
authors.initials: J
authors.lastname: De Jonckheere
authors.forename: R
authors.initials: R
authors.lastname: Logier
authors.forename: A
authors.initials: A
authors.lastname: Dassonneville
authors.forename: G
authors.initials: G
authors.lastname: Delmar
authors.forename: C
authors.initials: C
authors.lastname: Vasseur