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Study on an algorithm for detecting QRS complex from ECG signals |
FAN Minghui, WANG Min, CHEN Liangji, WANG Lianghong, HUANG Baozhen, WANG Xinkang |
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Abstract Electrocardiogram(ECG) monitoring is a routine monitoring method in clinical practice. By observing ECG activities and ECG waveform changes, myocardial damage, myocardial ischemia and electrolyte disorder could be detected. It is clinically significant to detect QRS complex in ECG. This paper proposes an algorithm for QRS complex detection using an adaptive threshold method based on window maximum or minimum value method,which includes detection of R-wave morphology in ECG, and verification of R-wave location accuracy rate (97.63%) by MIT-BIH arrhythmia database. On the basis of R-wave detection, the maximum or minimum value method and slope limit method are used to search for Q- and S- wave. After QRS complex positioning is completed, P- and T- wave are detected, and located according to their morphological characteristics.
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