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MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization

Abstract : A software tool for the analysis of the High-Resolution Electrocardiogram (HR-ECG) for Arrhythmia detection is introduced. New algorithms based on Wavelet analysis are presented and compared with the classic Simson protocol over the P and QRS segments of the Electrocardiogram (EEG). A novel procedure based on a two step wavelet analysis and synthesis is performed in order to obtain a frequency description of the P, T or QRS segments. This frequency "signature" is useful for the detection of otherwise asymptomatic Arrhythmia patients. The tool has been developed in Matlab, and deployed for a standalone C application.
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Bruno Nascimento, Arnaldo Batista, Luis Brandão Alves, Manuel Duarte Ortigueira, Raul Rato. MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. pp.365-372, ⟨10.1007/978-3-642-11628-5_40⟩. ⟨hal-01060760⟩



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