The Detection of QRS Wave Based on Both Positive and Negative Difference_Thresholds Method

The ECG parameters extraction and ECG identification serve as the foundation for ECG Automatic Identification, which has become the hot issue in the field of signal processing [1]. This paper makes a study on the existing QRS complexes detection algorithms, and makes an analysis of the characteristics of differential operator. Based on the real-time feature of ECG automatic detection, this paper puts forward a precise positioning for QRS Complexes, by the means of both positive and negative difference thresholds. This paper uses the order of the positive and negative difference scores of R point to detect inverted R wave. Eventually, this paper uses MIT-BIH ECG database and the clinical measured data to verfiy the above method. The experimenatal results shows that this method is simple, effective, highly accurate and fast operation speed. The detection rate of QRS Complexes is 99.62% or so, which can meet the requirement of ECG real-time detection.