Abstract
Early accurate detection of ventricular fibrillation (VF) is crucial for inducing a proper electrical therapy (e.g. defibrillation). For automatic defibrillation, several detection algorithms have been developed to discriminate between VF and non-VF rhythms. However, many of them are not very accurate or at least very complex for real-time implementation.
The present study investigates the performance of five VF detection techniques by using a ventricular tachyarrhythmia ECG database annotated on a beat-to-beat-level. The algorithms were selected mainly for their accuracy and low computational cost. In addition, the authors propose a method based on a combination of two algorithms into one detection system. For each algorithm, the sensitivity and specificity were computed by comparing the decisions given by the algorithm with those found in the annotation files associated with the ECG database. The obtained results confirm that 1. each of the presented methods is capable of identifying VF (however, certain improvements are still required) and 2. that the use of two algorithms in series combines their advantages and reduces the error committed by each of them.
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© 2009 Springer-Verlag Berlin Heidelberg
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Ismail, A.H., Fries, M., Rossaint, R., Leonhardt, S. (2009). Validating the Reliability of Five Ventricular Fibrillation Detecting Algorithms. In: Vander Sloten, J., Verdonck, P., Nyssen, M., Haueisen, J. (eds) 4th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89208-3_8
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DOI: https://doi.org/10.1007/978-3-540-89208-3_8
Publisher Name: Springer, Berlin, Heidelberg
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