A dual-lead ECG QRS wave fusion detection algorithm achieved an average sensitivity of 99.87% and accuracy of 99.81%, which were higher than single-lead detection.
The accurate detection of QRS wave is an important prerequisite for automated analysis of an ECG signal. For the purpose of improving the detection sensitivity and accuracy of single-lead QRS wave, this paper presents a new algorithm for dual-lead ECG QRS wave fusion detection. After QRS wave location of the original electrocardiogram (ECG) by a single-lead pre-detection, dual-lead decision algorithm determines single-lead or dual-lead fusion detection is employed. Single-lead detection directly uses the first or second lead test results, while fusion examination of dual-lead is decided by dual-lead fusion method and the lead judge rule. This algorithm involves variance, magnitude, RR intervals, template matching and the threshold comparison method and so on. Using the MIT-BIH arrhythmia database to validate the algorithm, the statistics show that an average sensitivity and accuracy are 99.87%, 99.81% respectively, which are higher than single-lead.
Liu et al. (Thu,) conducted a other in Arrhythmia. Dual-lead ECG QRS wave fusion detection algorithm vs. Single-lead detection was evaluated on Average sensitivity and accuracy of QRS detection. A dual-lead ECG QRS wave fusion detection algorithm achieved an average sensitivity of 99.87% and accuracy of 99.81%, which were higher than single-lead detection.