Thoracic impedance signal processing method with VME parameter adaptive optimization and medium

The invention relates to a thoracic impedance signal processing method based on VME parameter adaptive optimization and a medium. The method comprises the following steps: acquiring a collected thoracic impedance signal; a baseline signal is extracted from the thoracic impedance signal through a fir...

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Bibliographic Details
Main Authors LIU QIN, MA YIXIN
Format Patent
LanguageChinese
English
Published 11.10.2024
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Summary:The invention relates to a thoracic impedance signal processing method based on VME parameter adaptive optimization and a medium. The method comprises the following steps: acquiring a collected thoracic impedance signal; a baseline signal is extracted from the thoracic impedance signal through a first VME algorithm, a baseline-removed signal with baseline drift removed is obtained, and a penalty coefficient of the first VME algorithm is determined through adaptive selection; and carrying out denoising processing on the baseline-removed signal, and extracting a respiration component. Compared with the prior art, the system has the advantages of being good in signal processing efficiency, capable of processing data of different subjects under different conditions and the like. 本发明涉及一种VME参数自适应优化的胸阻抗信号处理方法及介质,所述方法包括以下步骤:获取采集的胸阻抗信号;通过第一VME算法从胸阻抗信号中提取基线信号,得到去除基线漂移的去基线信号,所述第一VME算法的惩罚系数通过自适应选择确定;对所述去基线信号进行去噪处理,提取呼吸分量。与现有技术相比,本发明具有信号处理效率好、能够处理不同受试者不同情况下的数据等优点。
Bibliography:Application Number: CN202410999509