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Updated: Jan 14, 2026

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早期心脏病预测使用LV-PSO和模糊推理Xception卷积神经网络对声心图信号的预测

D Prabha Devi1, C Palanisamy2

  • 1Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India.

Frontiers in neuroinformatics
|October 17, 2025
PubMed
概括

这项研究引入了一种使用心电图 (PCG) 信号预测早期心脏病的新方法. 这种先进的系统在分类心脏病方面达到很高的准确性,提高了诊断能力.

关键词:
在Xception CNN上看到.腹缩和心缩的差异不同.功能尺寸 功能尺寸 功能尺寸模糊的推理推理 模糊的推理心脏病 疾病 心脏病 疾病非线性缩放的非线性缩放听力心电图信号的信号群体优化 群体优化

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