{"data":{"id":"4b13400b-afd1-4bc0-bd60-759588f89d1c","title":"Complex AFNet: A Hybrid Complex-Valued Deep Network for Atrial Fibrillation Detection","summary":"This research presents a new deep learning model called Complex AFNet that detects atrial fibrillation (AF, an irregular heartbeat condition affecting millions worldwide) from electrocardiogram (ECG, a recording of heart electrical activity) signals. The model converts ECG data into 2D images using mathematical transformations and uses complex-valued convolutions (a type of neural network layer that processes numbers with both magnitude and phase information) to identify subtle patterns that distinguish normal heartbeats from AF episodes, achieving 95.63% accuracy on a standard medical dataset.","solution":"N/A -- no mitigation discussed in source.","labels":["research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11422955","publishedAt":"2026-03-06T13:18:27.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-03-06T13:18:27.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":"peer_reviewed","atlasIds":null}}