基于线性预测的膈肌电图自适应降噪算法

Lingxi Chen, Yuan-da Xu, Bin Li, Hongqiang Mo
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引用次数: 0

摘要

食管电极采集的膈肌电图(EMGdi)可为评估呼吸系统提供重要信息。但它容易受到心电图的干扰。指出EMGdi的自相关功能与心电的自相关功能存在显著差异。在此基础上,提出了一种基于线性预测的滤波器来抑制心电干扰。滤波器的系数在线调整,以适应不同主题或同一主题的自相关函数随时间的缓慢变化。将该滤波器应用于临床采集信号,结果表明该滤波器能有效抑制心电干扰,滤波后的EMGdi与经膈压(Pdi)具有良好的同步性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Noise-Reduction Algorithm for Diaphragm Electromyography Based on Linear Prediction
Diaphragm electromyography (EMGdi) collected by esophageal electrodes can provide important information for the assessment of the respiratory system. But it is vulnerable to electrocardiogram (ECG) interference. It is pointed out that the autocorrelation function of EMGdi is significantly different from that of ECG. And accordingly, a filter based on linear prediction is proposed to suppress the ECG interference. The coefficients of the filter are adjusted on line so as to adapt to different subjects or the slow change of the autocorrelation function of the same subject over time. The filter is applied to clinically acquired signals, and the results demonstrate that it can effectively suppress the ECG interference, and the filtered EMGdi is in a good synchronization with the transdiaphragmatic pressure (Pdi).
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