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A Parameter Optimization to Solve the Inverse Problem in Electrocardiography

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  • معلومة اضافية
    • Contributors:
      Centre de recherche Cardio-Thoracique de Bordeaux Bordeaux (CRCTB); Université de Bordeaux (UB)-Centre Hospitalier Universitaire de Bordeaux (CHU Bordeaux)-Institut National de la Santé et de la Recherche Médicale (INSERM); IHU-LIRYC; Université Bordeaux Segalen - Bordeaux 2-Centre Hospitalier Universitaire de Bordeaux (CHU Bordeaux); Modélisation et calculs pour l'électrophysiologie cardiaque (CARMEN); Institut de Mathématiques de Bordeaux (IMB); Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université de Bordeaux; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IHU-LIRYC; Université Bordeaux Segalen - Bordeaux 2-Centre Hospitalier Universitaire de Bordeaux (CHU Bordeaux)-Université Bordeaux Segalen - Bordeaux 2-Centre Hospitalier Universitaire de Bordeaux (CHU Bordeaux); Plafrim; ANR-10-IAHU-0004,LIRYC,L'Institut de Rythmologie et modélisation Cardiaque(2010)
    • بيانات النشر:
      CCSD
      Springer
    • الموضوع:
      2017
    • Collection:
      Inserm: HAL (Institut national de la santé et de la recherche médicale)
    • الموضوع:
    • الموضوع:
      Toronto, Canada
    • نبذة مختصرة :
      International audience ; The main challenge of electrocardiography is to retrieve the best possible electrical information from body surface electrical potential maps. The most common methods reconstruct epicardial potentials. Here we propose a method based on a parameter identification problem to reconstruct both activation and repolarization times. The shape of an action potential (AP) is well known and can be described as a parameterized function. From the parameterized APs we compute the electrical potentials on the torso. The inverse problem is reduced to the identification of all the parameters. The method was tested on in silico and experimental data, for single ventricular pacing. We reconstructed activation and repolarization times with good accuracy accurate (CC between 0.71 and 0.9).
    • الرقم المعرف:
      10.1007/978-3-319-59448-4_21
    • الدخول الالكتروني :
      https://hal.science/hal-01572076
      https://hal.science/hal-01572076v1/document
      https://hal.science/hal-01572076v1/file/GwladysRavonFinal.pdf
      https://doi.org/10.1007/978-3-319-59448-4_21
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.63E891CF