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Detection and removal of pacing artifacts prior to automated analysis of 12-lead ECG

Updated: Apr 19

Our manuscript is published in Computers in Biology and Medicine. We developed a semi-automated algorithm and user-friendly GUI for detection and removal of pacing artifacts from a digital ECG recording. We provide our open-source Matlab code here. • The algorithm is 100% accurate in the detection of a pacing artifact’s presence. The algorithm has 75% sensitivity and 100% specificity for the per-digital-sample detection of pacing artifacts. User-friendly interface allows fine-tuning and quality control of the artifact removal.





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