Implementation of ECG signal processing algorithms for removing baseline wander and electromyography interference

Changhsi Wu, Yanrong Zhang, Chengyo Hong, H. Chiueh
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引用次数: 9

Abstract

Implementation of ECG signal processing algorithms for removing baseline wander and electromyography (EMG) interference is proposed in this paper. First, Moving Average Filter (MAF) is used to remove the baseline wanders in ECG signal. Then the EMG components are detected and canceled by the Empirical Mode Decomposition (EMD). The Texas Instruments (TI) produced ADS1298 is chose to be the Analog Front-End (AFE) ECG capture chip which provides 8 measurement channels. The ARM series chips of STMicroelectronics produced STM32F429ZI is used as the computing core of signal processing which has operation frequency of up to 180MHz and is suitable for a large amount of data calculation as well as peripheral interface control.
消除基线漫游和肌电图干扰的心电信号处理算法的实现
提出了一种消除基线漂移和肌电干扰的心电信号处理算法。首先,采用移动平均滤波(MAF)去除心电信号中的基线漂移;然后通过经验模态分解(EMD)检测并消除肌电分量。选择德州仪器(TI)生产的ADS1298作为模拟前端(AFE) ECG捕获芯片,提供8个测量通道。采用意法半导体公司生产的ARM系列芯片STM32F429ZI作为信号处理的计算核心,工作频率高达180MHz,适用于大量数据计算和外设接口控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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