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Updated: Feb 21, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Published on: May 23, 2021

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调查可解释性心律失常的分类,使用基于细分的心电图信号的特定类组合模型

Md Faisal Mina1, Torikul Islam2, Al Mukshit Plabon1

  • 1Department of Biomedical Engineering, Jashore University of Science and Technology, Bangladesh, Jessore District, 7408, Bangladesh.

Medical engineering & physics
|February 19, 2026
PubMed
概括

这项研究引入了一种新的方法来从心电图中分类心律失常,提高了特定节律的准确性,例如慢心率 (SB) 和快心率 (ST). 它还提供了对分类决定的详细解释,有助于开发便携式ECG设备.

关键词:
这是一个ECGECGECGECGECG.组合学习学习 组合学习心脏节律失常 心脏节律失常机器学习是机器学习.

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