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A novel ECG QRS complex detection algorithm based on dynamic Bayesian network
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DOI：10.1016/j.artmed.2026.103370.png)
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Abstract
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• We introduce a novel approach for extracting RR interval distributions using a GMM. • We propose an individualized EM-based method for predicting RR interval distributions. • We develop a dynamic programming method for online QRS complex detection on wearable devices. • The proposed algorithm surpasses state-of-the-art methods in both online and offline settings.
Keywords:
GMM
EM-based method
dynamic programming
QRS complex detection
wearable devices
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Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM
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