Wen-po Yao1, Wen-li Yao2,Min Wu1, Tie-bing Liu1
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.