R-wave detection is the main approach for heart rate variability analysis and clinical application based on R-R interval. The maximum first derivative plus the maximum value of the double search algorithm is applied o...R-wave detection is the main approach for heart rate variability analysis and clinical application based on R-R interval. The maximum first derivative plus the maximum value of the double search algorithm is applied on electrocardiogram(ECG) of MIH-BIT Arrhythmia Database to extract R wave. Through the study of algorithm's characteristics and R-wave detection method, data segmentation method is modified to improve the detection accuracy. After segmentation modification, average accuracy rate of 6 sets of short ECG data increase from 82.51% to 93.70%, and the average accuracy rate of 11 groups long-range data is 96.61%. Test results prove that the algorithm and segmentation method can accurately locate R wave and have good effectiveness and versatility, but may exist some undetected problems due to algorithm implementation.展开更多
基金supported by the National Natural Science Foundation of China(Nos.61271082,61201029,81201161)
文摘R-wave detection is the main approach for heart rate variability analysis and clinical application based on R-R interval. The maximum first derivative plus the maximum value of the double search algorithm is applied on electrocardiogram(ECG) of MIH-BIT Arrhythmia Database to extract R wave. Through the study of algorithm's characteristics and R-wave detection method, data segmentation method is modified to improve the detection accuracy. After segmentation modification, average accuracy rate of 6 sets of short ECG data increase from 82.51% to 93.70%, and the average accuracy rate of 11 groups long-range data is 96.61%. Test results prove that the algorithm and segmentation method can accurately locate R wave and have good effectiveness and versatility, but may exist some undetected problems due to algorithm implementation.
