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Detecting Premature Ventricular Contraction by Using Regulated Discriminant Analysis with Very Sparse Training Data
Published in Applied Artificial Intelligence, 2019
Per Lynggaard
The ECG beat detection block is a strait forward implementation of the Pan-Tompkins algorithm. This algorithm is known for being one of the best for detecting beats with sensitivity and specificity scores higher than 99% (Pan and Tompkins 1985). In addition, it is computationally efficient and it includes noise removal steps (Jambukia, Dabhi, and Prajapati 2015).