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Currently submitted to: JMIR Medical Informatics

Date Submitted: Aug 8, 2019
Open Peer Review Period: Aug 12, 2019 - Oct 7, 2019
(currently open for review and needs more reviewers - can you help?)

Model-driven processing of cardio-respiratory data using dynalet transform

  • Jacques Demongeot Sr; 
  • Hana Hazgui Sr; 
  • Nicolas Vuillerme Sr; 
  • Carla Taramasco; 
  • Hajer Khlaifi; 


This paper proposes a new data processing approach tailored to a model of the complex biological system studied. We will take as example the cardiac system made of a stimulator (represented for the sake of simplicity by the sinoatrial node), controlled by the respiratory oscillator, synchronizing a collection of sinoatrial node myocytes (pacemaker cells) and propose a mathematical model of the global system built from two van der Pol differential systems historically proposed for giving a first approximation of the cardiac and the respiratory activity. Then, we develop the observed cardiac signal on a functional base of approximate analytic solutions of the model. Finally, we propose perspectives to use it in the early detection of the drowsiness.


Please cite as:

Demongeot J Sr, Hazgui H Sr, Vuillerme N Sr, Taramasco C, Khlaifi H

Model-driven processing of cardio-respiratory data using dynalet transform

JMIR Preprints. 08/08/2019:15734

DOI: 10.2196/preprints.15734


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