ECG Frequency Domain Features Extraction: A New Characteristic for Arrhythmias Classification.

摘要

This article describes a new ECG spectrum feature that allows the classification of dangerous arrhythmia. In order to check the classification effectiveness of this variable, the statistical method known as Anova has been used. The results obtained show that this parameter could be an effective classification feature of dangerous arrhythmia with an approximated probability of error of 0.00%. Keywords - ECG Signal Processing, Feature Extraction.