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Fundamental principles of data assimilation underlying the Verdandi library: applications to biophysical model personalization within euHeart
- Source :
- Medical and Biological Engineering and Computing, Medical and Biological Engineering and Computing, 2013, 51, pp.1221-1233. ⟨10.1007/s11517-012-0969-6⟩, Medical and Biological Engineering and Computing, Springer Verlag, 2013, 51, pp.1221-1233. ⟨10.1007/s11517-012-0969-6⟩
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
Abstract
- International audience We present the fundamental principles of data assimilation underlying the Verdandi library, and how they are articulated with the modular architecture of the library. This translates -- in particular -- into the definition of standardized interfaces through which the data assimilation library interoperates with the model simulation software and the so-called observation manager. We also survey various examples of data assimilation applied to the personalization of biophysical models, in particular for cardiac modeling applications within the euHeart European project. This illustrates the power of data assimilation concepts in such novel applications, with tremendous potential in clinical diagnosis assistance.
- Subjects :
- Databases, Factual
Computer science
0206 medical engineering
Biomedical Engineering
02 engineering and technology
01 natural sciences
Personalization
Data assimilation
Software
Software library
Personalized modeling
Humans
0101 mathematics
Computer Applications
business.industry
Models, Cardiovascular
Human physiology
Modular architecture
020601 biomedical engineering
Data science
Computer Science Applications
010101 applied mathematics
Cardiac models
Clinical diagnosis
Model simulation
Database Management Systems
business
Algorithms
[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Subjects
Details
- Language :
- English
- ISSN :
- 01400118 and 17410444
- Database :
- OpenAIRE
- Journal :
- Medical and Biological Engineering and Computing, Medical and Biological Engineering and Computing, 2013, 51, pp.1221-1233. ⟨10.1007/s11517-012-0969-6⟩, Medical and Biological Engineering and Computing, Springer Verlag, 2013, 51, pp.1221-1233. ⟨10.1007/s11517-012-0969-6⟩
- Accession number :
- edsair.doi.dedup.....0fcf77c1c9e064187fb25650089e12c3
- Full Text :
- https://doi.org/10.1007/s11517-012-0969-6⟩