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  1. V. Le Rolle, A. I. Hernandez, P. Y. Richard, J. Buisson & G. Carrault (2005). A Bond Graph Model of the Cardiovascular System. Acta Biotheoretica 53 (4).
    The study of the autonomic nervous system (ANS) function has shown to provide useful indicators for risk stratification and early detection on a variety of cardiovascular pathologies. However, data gathered during different tests of the ANS are difficult to analyse, mainly due to the complex mechanisms involved in the autonomic regulation of the cardiovascular system (CVS). Although model-based analysis of ANS data has been already proposed as a way to cope with this complexity, only a few models coupling the main (...)
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  2. A. Defontaine, A. Hernández & G. Carrault (2004). Multi-Formalism Modelling and Simulation: Application to Cardiac Modelling. Acta Biotheoretica 52 (4).
    Cardiovascular modelling has been a major research subject for the last decade. Different cardiac models have been developed at a cellular level as well as at the whole organ level. Most of these models are defined by a comprehensive cellular modelling using continuous formalisms or by a tissue-level modelling often based on discrete formalisms. Nevertheless, both views still suffer from difficulties that reduce their clinical applications: the first approach requires heavy computational resources while the second one is not able to (...)
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  3. F. Tudoret, A. Bardou & G. Carrault (2001). Numerically Solving Physiological Models Based on a Polynomial Approach. Acta Biotheoretica 49 (4).
    Much research effort has been directed in different physiological contexts towards describing realistic behaviors with differential equations. One observes obviously that more state-variables give the model more accuracy. Unfortunately, the computational cost involved is higher. A new algorithm is presented for simulating a model described by a system of differential equations in which efficiency may not be altered by its size. In order to do this, the method is based on a polynomial description of the state-variables' evolution and on a (...)
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  4. A. I. Hernández, G. Carrault, F. Mora & A. Bardou (2000). Overview of Carmem: A New Dynamic Quantitative Cardiac Model for ECG Monitoring and its Adaptation to Observed Signals. Acta Biotheoretica 48 (3-4).
    Different approaches have been proposed in order to achieve knowledge integration for coronary care monitoring applications, usually in the form of expert systems. The clinical impact of these expert systems, which are based only on "shallow" knowledge, has not been remarkable due to the difficulties associated with the construction and maintenance of a complete knowledge base. Model-based systems represent an alternative to these problems because they allow efficient integration of the "deep" knowledge on the underlying physiological phenomena being monitored. In (...)
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  5. L. Senhadji, G. Carrault, H. Gauvrit, E. Wodey, P. Pladys & F. Carré (2000). Pediatric Anesthesia Monitoring with the Help of EEG and ECG. Acta Biotheoretica 48 (3-4).
    This paper presents research regarding the monitoring of the brain and the adequacy of anesthesia during surgery. Particular variables are derived from EEG and ECG signals and are correlated to anesthetic gas (sevoflurane) concentration, in pediatric anesthesia. The methods used for parameter extraction are based on change detection theory and time-frequency representation. Preliminary results show that the expired anesthetic gas concentration modulates both the heart rate variability and the duration of the burst suppression. Monitors of the central nervous system and (...)
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