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Decorrelative network architecture for robust electrocardiogram classification.

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第一作者： Christopher,Wiedeman

第一单位： Department of Electrical and Computer Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.

作者： Christopher,Wiedeman ^[1] ; Ge,Wang ^[2]

作者单位： Department of Electrical and Computer Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. ^[1] Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. ^[2]

关键词 AI ECG adversarial defense artificial intelligence deep learning electrocardigram ensemble learning robustness uncertainty estimation

DOI 10.1016/j.patter.2024.101116

PMID 39776851

发布时间 2025-03-05

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Decorrelative network architecture for robust electrocardiogram classification.

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Decorrelative network architecture for robust electrocardiogram classification.

Patterns (New York, N.Y.)

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