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Updated: Jul 6, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts
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Published on: September 16, 2009

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深度学习心声信号,有效预测阻塞性冠状动脉疾病

Aikeliyaer Ainiwaer1, Wen Qing Hou2, Quan Qi3

  • 1Department of Cardiology, First Afliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, Xinjiang, 830000, China.

Heliyon
|January 3, 2024
PubMed
概括

使用心脏声音的新型深度学习模型可以有效地选阻塞性冠状动脉疾病 (CAD),减少不必要的侵入性手术. 这种非侵入性方法在冠状动脉血管学 (CAG) 之前识别显著阻塞时具有高准确性.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.电子耳语镜 电子耳语镜心脏的声音信号发出了一个信号.阻塞性冠状动脉疾病 阻塞性冠状动脉疾病

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S1 (First Heart Sound)-
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