Signal Analysis in Atrial Fibrillation

  • Raúl AlcarazEmail author
  • José J. Rieta
Part of the Series in BioEngineering book series (SERBIOENG)


Recent advances and clinical applications of signal analysis in the characterization of the most common supra-ventricular arrhythmia, i.e. atrial fibrillation (AF), are summarized in this chapter. The analysis of invasive and non-invasive electrocardiographic signals has revealed useful clinical information in a broad variety of scenarios, thus opening new perspectives in the understanding of the currently unknown mechanisms triggering and maintaining the arrhythmia.



This work has been supported by grants DPI2017–83952–C3 MINECO/AEI/FEDER, UE and SBPLY/17/180501/000411 from Junta de Comunidades de Castilla-La Mancha.


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Research Group in Electronic, Biomedical and Telecommunication EngineeringUniversity of Castilla-La ManchaCuencaSpain
  2., Electronic Engineering DepartmentUniversidad Politécnica de ValenciaValenciaSpain

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