Classification Method of ECG Signals Based on RANet.
Aoxiang ZhangXinwu YangTong LiMengfei DouHongxiao Yang
Published in: Cardiovascular engineering and technology (2024)
Experiments and verifications are conducted using the PhysioNet/CinC Challenge 2017 dataset. The average F1 value is 0.817, which is 0.064 higher than that for the ResNet model. Compared with the mainstream methods, the performance is excellent.