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Updated: Jun 9, 2025

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
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Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

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[基于两步光谱集体实证模式分解和正规相关性分析的运动阻抗心脏学去噪声方法研究]

Yao Xie1,2, Dong Yang1,2, Honglong Yu2

  • 1School of Information Science and Technology, University of Science and Technology of China, Hefei 230022, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|October 27, 2024
PubMed
概括

本研究提出了一种新的两步无声化方法,使用光谱集体实证模式分解 (EEMD) 和正规相关性分析 (CCA) 来从阻抗心图 (ICG) 信号中去除运动工件. 该方法显著提高了ICG信号质量,以更好地诊断心血管疾病.

关键词:
准则的相关性分析分析法典的相关性分析.剥离的方法 剥离的方法阻抗心脏图谱是指阻抗心脏图谱.运动文物 运动文物

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