In this paper, we propose a new scheme of Poincare geometry-characterized ECG analysis for cardiac disease identification. Based on reliable P-wave detection we created P-P Poincare plot applying P-P intervals of ECG signal. By the new geometric Poincare plot analysis, which combines R-R intervals and P-P intervals, we identified geometric differences of normal and arrhythmia ECG databases at PhysioBank in Physionet. Poincare descriptors show that the analysis scheme can classify two ECG signals reliably. Furthermore, we discuss a cardiac disease estimation system that may be applicable to estimate the occurrence of arrhythmia in healthy person.>
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