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Updated: Jan 16, 2026

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混合CNN-BLSTM架构用于ECG信号中的心律失常的分类和检测

Yuguang Ye1,2,3, Kavimbi Chipusu4, Muhammad Awais Ashraf5

  • 1Faculty of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, 362000, China.

Scientific reports
|October 3, 2025
PubMed
概括

本研究介绍了一种混合深度学习模型,使用卷积神经网络 (CNN) 和双向长短期记忆 (BLSTM) 进行精确的心电图 (ECG) 分析. 该框架在检测心律失常方面达到很高的准确性,为临床决策提供了潜在的支持.

关键词:
检测心律失常的检测方式电心电图 (ECG) 是一种心电图.应用程序的混合模型应用程序.长期短期记忆 长期短期记忆

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