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An electrocardiogram (ECG) is a test that checks how the heart is functioning by measuring the electrical activity of the heart. With each heart beat, an electrical impulse travels through the heart, in turn results in the pumping of blood from the heart. This paper intends to study how correlation filter is used for the analysis and detection of QRS pattern in ECG waveform. Correlation filters are well established and useful for a variety of tasks in signal processing and pattern recognition. The study describes the demonstrated use of zero-aliasing correlation filters which reduces the aliasing effect and offer distortion-tolerant output. By adopting the ZACF design, the study shows that the recognition and localization performance of conventional CF designs can be significantly improved. And hence, QRS detection using this method provides a highly trouble-free path, which in turn helps in the scientific development for the betterment of the society. |
