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What is ECG Beat Segmentation with CNN about?

The document presents a novel ECG beat segmentation technique utilizing a convolutional neural network (CNN) combined with an adaptive windowing algorithm, achieving high accuracy in detecting heartbeats across multiple datasets. The proposed method demonstrated 99.08% accuracy on the MIT-BIH dataset and maintained high performance on other datasets, indicating its potential for clinical applications in ECG analysis. This approach addresses the challenges of traditional ECG diagnosis by automating the segme

Author

rekka mastouri

Language

EN