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. © 2010 Springer Berlin Heidelberg.
CITATION STYLE
Nascimento, B., Batista, A., Alves, L. B., Ortigueira, M., & Rato, R. (2010). MicroECG: An integrated platform for the cardiac arrythmia detection and characterization. IFIP Advances in Information and Communication Technology, 314, 367–373. https://doi.org/10.1007/978-3-642-11628-5_40
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