Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
Ma L, Liang L. Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length. 2020, 00: 839-846. DOI: 10.1109/icmla51294.2020.00137.Peer-Reviewed Original ResearchDeep neural networksAdversarial noiseDefense methodsClassification accuracyClassification accuracy of deep neural networksRobustness of deep neural networksAccuracy of deep neural networksImprove robustnessElectrocardiogram signal classificationInterpretation of ECG signalsClass label predictionLife-critical applicationsRobust against noiseClassification taskClassification challengeF1 scoreNeural networkCustom CNNSignal classificationAverage accuracyCNNClean dataECG signalsAutomatic interpretationEvaluation results