Can I read ECG Heartbeat Classification Using CNN on EtoBox?

ECG Heartbeat Classification Using CNN by mam oon is a document available to read on EtoBox.

What is ECG Heartbeat Classification Using CNN about?

The document presents a study on ECG heartbeat classification using a 1D Convolutional Neural Network (CNN) model, which classifies ECG signals into five categories: Normal Beats, Supraventricular Ectopic Beats, Ventricular Ectopic Beats, Fusion Beats, and Unknown Beats. The proposed model achieved an accuracy of 97.36% and an F1 score of 99.83% by automatically extracting features from raw ECG data, addressing the challenges of data imbalance through resampling techniques. This approach aims to facilitate

Author

mam oon

Language

EN