MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization
- Citation:
- Nascimento, B, Batista A, Alves LB, Ortigueira M, Rato R. 2010. MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. Emerging Trends in Technological Innovation. 314:367–373.
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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