Fractional order modeling and identification for heat transfer in lungs - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Fractional order modeling and identification for heat transfer in lungs

Résumé

Cardiac surgery implies harsh conditions for the lungs, which are normally disconnected from the patient’s body during the procedure. A better understanding of lung’s heat transfer may allow to reduce potential tissue injuries. In order to analyze heat transfer for dynamic heat flows and temperature inputs, thermal two-port network formalism is used. Asymptotic behavior of the impedance elements of this model are analyzed and approximated by using fractional-order operators. The same ide ais combined with Pennes bio-heat equation to also take into account blood’s flow effect on heat transfer. A global circuit model for the lungs is proposed. On the other hand, recursive identification methods for fractional-order continuous-time systems are proposed and tested.
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Dates et versions

hal-04317664 , version 1 (01-12-2023)

Identifiants

  • HAL Id : hal-04317664 , version 1

Citer

Jean-François Duhé, Stephane Victor, Pierre Melchior, Youssef Abdelmoumen, François Roubertie. Fractional order modeling and identification for heat transfer in lungs. Comité Technique identification, SAGIP, May 2022, Paris, France. ⟨hal-04317664⟩
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