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

机译:消除基线漂移和肌电图干扰的ECG信号处理算法的实现

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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.
机译:本文提出了消除基线漂移和肌电图(EMG)干扰的ECG信号处理算法的实现。首先,移动平均滤波器(MAF)用于去除ECG信号中的基线漂移。然后,通过经验模式分解(EMD)检测并消除EMG分量。德州仪器(TI)生产的ADS1298被选为模拟前端(AFE)ECG捕获芯片,该芯片可提供8个测量通道。 STMicroelectronics生产的STM32F429ZI的ARM系列芯片用作信号处理的计算核心,其工作频率高达180MHz,适用于大量数据计算以及外围接口控制。

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