A Deep Learning Method for ECG Heartbeat Classification Based on Gaussian Features
A new deep learning method using Gaussian features achieves 97.93% accuracy in ECG heartbeat classification on the MIT–BIH Arrhythmia Database.
A new deep learning method using Gaussian features achieves 97.93% accuracy in ECG heartbeat classification on the MIT–BIH Arrhythmia Database.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine