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InfoResearchPeer-reviewed

Complex AFNet: A Hybrid Complex-Valued Deep Network for Atrial Fibrillation Detection

Source
IEEE Xplore (Security & AI Journals)(opens in a new tab)
Published
Record updated

Summary

Complex AFNet is a hybrid complex-valued convolutional network for atrial fibrillation detection from ECG signals. It converts 1-D ECG segments into GASF and GADF images, treats them as real and imaginary inputs, and reports 95.63% test accuracy, 96.43% precision, 92.05% recall and a 94.15% F1-score on the PhysioNet AF dataset of 1436 recordings.