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Study of inter-lead corrective post-processing method for QRS complex segmentation
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DOI：10.1016/j.bspc.2024.107013.png)
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Most of the state-of-the-art algorithms for electrocardiography(ECG) analysis and arrhythmia detection rely on accurate QRS complex detection. However, the low amplitude of certain QRS complexes or interference from noise affecting the QRS complexes can weaken their features. The information provided by a single lead may be insufficient for the model to effectively address these challenges, making false detections or missed detections of QRS complexes unavoidable. To address the missed detections and false positives caused by such interferences, we propose an inter-lead correction post-processing method for QRS complex segmentation based on the characteristics of multi-lead QRS complexes, which typically appear almost simultaneously in all leads, whereas interference usually affects only one or a few leads. Segmentation results from a minority of leads that are inconsistent with the majority are adjusted to align with the majority, thereby reducing misdetection and omission. Experimental results demonstrate that our method effectively corrects QRS complex segmentation errors caused by interference.we make our code publicly available on https://github.com/cwp9731/QRS_Seg.
Keyword:
Electrocardiography (ECG)
QRS complex
Segmentation
Post-processing
期刊
IF:
4.9
论文数:
1.0W
被引数:
2.4W
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