Slimane Anis Ben, Zaid Azza Ouled
Laboratory of Advanced Technology and Intelligent Systems, Sousse University, Sousse, Tunisia.
Department of Industrial Electronics, National Engineering School of Sousse, Sousse University, Tunis, Tunisia.
J Med Signals Sens. 2021 Jan 30;11(1):52-61. doi: 10.4103/jmss.JMSS_3_20. eCollection 2021 Jan-Mar.
Despite the considerable improvement of the common-mode rejection ratio of digital filtering techniques, the electrocardiogram (ECG) traces recorded by commercialized devices are still contaminated by residual power line interference (PLI). In this study, we address this issue by proposing a novel real-time filter adapted to single-frequency noise cancellation and automatic power line frequency detection. The filtering process is principally based on a point-by-point fast Fourier transform and a judicious choice of the analysis window length. Intensive experiments conducted on real and synthetic signals have shown that our filtering method offers very clean ECGs, due to the suppression of spikes corresponding to the PLI and the preservation of spikes outside the filter band. In addition, this method is characterized by its low computational complexity which makes it suitable for real-time cleaning of ECG signals and thus can serve for more accurate diagnosis in computer-based automated cardiac system.
尽管数字滤波技术的共模抑制比有了显著提高，但商业化设备记录的心电图（ECG）迹线仍受到残留电源线干扰（PLI）的污染。在本研究中，我们通过提出一种适用于单频噪声消除和自动电源线频率检测的新型实时滤波器来解决这个问题。滤波过程主要基于逐点快速傅里叶变换和对分析窗口长度的明智选择。对真实信号和合成信号进行的大量实验表明，我们的滤波方法能够提供非常干净的心电图，这是由于抑制了与PLI对应的尖峰，并保留了滤波器频段之外的尖峰。此外，该方法的特点是计算复杂度低，这使其适用于心电图信号的实时清理，从而可用于基于计算机的自动心脏系统中更准确的诊断。
