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Automatic Detection of Atrial Fibrillation for Mobile Devices

  • Conference paper
Biomedical Engineering Systems and Technologies (BIOSTEC 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 52))

Abstract

Two versions of a new detector for automatic real-time detection of atrial fibrillation in non-invasive ECG signals are introduced. The methods are based on beat to beat variability, tachogram analysis and simple signal filtering. The implementation on mobile devices is made possible due to the low demand on computing power of the employed analysis procedures. The proposed algorithms correctly identified 436 of 440 five minute episodes of atrial fibrillation or flutter and also correctly identified up to 302 of 342 episodes of no atrial fibrillation, including normal sinus rhythm as well as other cardiac arrhythmias. These numbers correspond to a sensitivity of 99.1 % and a specificity of 88.3%.

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Author information

Authors and Affiliations

  1. FZI Forschungszentrum Informatik, Karlsruhe, Germany

    Stefanie Kaiser, Malte Kirst & Christophe Kunze

Authors
  1. Stefanie Kaiser
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  2. Malte Kirst
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  3. Christophe Kunze
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Editor information

Editors and Affiliations

  1. Instituto de Telecomunicaçöes, IST - Instituto Superior Técnico, Av. Rovisco Pais, 1, 1049-001, Portugal, Lisbon

    Ana Fred

  2. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  3. Institute of Telecommunications, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal

    Hugo Gamboa

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© 2010 Springer-Verlag Berlin Heidelberg

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Kaiser, S., Kirst, M., Kunze, C. (2010). Automatic Detection of Atrial Fibrillation for Mobile Devices. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2009. Communications in Computer and Information Science, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11721-3_20

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  • DOI: https://doi.org/10.1007/978-3-642-11721-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11720-6

  • Online ISBN: 978-3-642-11721-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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