相关实验视频

Updated: Jan 6, 2026

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

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揭开心脏:基于深度学习的心电图分类,用于检测先天性心脏病

Rishika Anand1, S R N Reddy2, Dinesh Kumar Yadav3

  • 1Department of Computer Science and Engineering, IGDTUW, Delhi, 110006, India. rishika003phd19@igdtuw.ac.in.

Current medical science
|November 5, 2025
PubMed
概括

本研究引入了使用CNN和RNN的深度学习模型,以从心电图数据中准确地分类先天性心脏病 (CHD). 该方法有效地解决了与SMOTE的数据不平衡,提高了诊断准确度.

关键词:
遗传性心脏病是一种先天性心脏病.深度学习是一种深度学习.在ECG分类中使用ECG分类.电心电图是指心电图.不平衡的数据不平衡的数据在SMOTE中使用.在VGG16中,VGG16是VGG16中的一个.

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