Open Access Highly Accessed Methodology article

A continuous-time adaptive particle filter for estimations under measurement time uncertainties with an application to a plasma-leucine mixed effects model

Annette Krengel1*, Jan Hauth1, Marja-Riitta Taskinen2, Martin Adiels34 and Mats Jirstrand5

Author Affiliations

1 Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM; Fraunhofer Institute for Industrial Mathematics), Kaiserslautern, Germany

2 Department of Medicine, University of Helsinki, Helsinki, Finland

3 Department of Mathematical Sciences, University of Gothenburg, Gothenburg, Sweden

4 Wallenberg laboratory, Sahlgrenska Center for Cardiovascular Research, Department of Medicine, University of Gothenburg, Gothenburg, Sweden

5 Fraunhofer Chalmers Centre (FCC), Gothenburg, Sweden

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BMC Systems Biology 2013, 7:8  doi:10.1186/1752-0509-7-8

Published: 19 January 2013

Additional files

Additional file 1:

Data used for estimation and simulation. The data consist of one record for each patient, each record consisting of 4 lines in the following format:

patient id [COMMA] group (control or diabetes) [COMMA] leucine initial value [NEW LINE]measurement 1 time [COMMA] measurement 2 time [COMMA] …[COMMA] measurement np time [NEW LINE]measurement 1 value[COMMA] measurement 2 value [COMMA] …[COMMA] measurement np value [NEW LINE][NEW LINE]

where np is the number of measurements for patient p, time is given in hours, and each measurement value is the measured ratio of isotope labeled leucine.

Format: CSV Size: 9KB Download file

Open Data