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通过自主监督学习和1维视觉转换器进行强大的自动心血管失常检测

Mitchell Chatterjee1, Adrian D C Chan2, Majid Komeili3

  • 1School of Computer Science, Carleton University, Ottawa, K1S 5B6, Canada. mitchellchatterjee@cmail.carleton.ca.

Scientific reports
|March 3, 2026
PubMed
概括

使用蒙面补丁建模 (MPM) 进行自我监督学习,可以从心电图 (ECG) 数据中提高心律失常的检测. PatchECG是一种新的1D变压器模型,可以高效地实现最先进的结果,改善了自动心血管疾病诊断.

关键词:
心脏节律失常 心脏节律失常深度学习是一种深度学习.电心电图是指心电图.医学诊断 医学诊断 医学诊断医疗信号分类 医疗信号分类自主监督学习学习

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