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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

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通过机器学习方法,在心室节律失常存在时,用于 ambulatory electrocardiogram 的自动噪声检测

Lorenzo Bachi1, Maurizio Varanini2, Magda Costi3

  • 1Institute of Clinical Physiology, National Council of Research, via Giuseppe Moruzzi 1, Pisa, 56124, Italy; Institute of Life Sciences, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà, 33, Pisa, 56127, Italy.

Computers in biology and medicine
|October 24, 2024
PubMed
概括

这项研究引入了新的机器学习方法,用于检测出行心电图信号中的噪音. 开发的模型准确地对信号质量进行了分类,即使存在心室节律失常.

关键词:
节律失常是因为失常.电心电图 (ECG) 是一种心电图.功能选择 功能选择霍尔特·霍尔特是什么意思机器学习 机器学习噪声 噪声 噪声

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