基于双频连续小波变换的心电信号信噪比提高

P. Phukpattaranont
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引用次数: 5

摘要

对于心电信号的分析,QRS检测算法是非常重要的。QRS检测算法包括心电预处理和心电拍检测两个步骤。在预处理步骤中,去除心电信号中的噪声。预处理步骤去噪后的信噪比越高,拍频检测步骤的算法越简单,精度越高。然而,在实际情况下,心电信号有多种类型,如正常心跳和室性早搏。每种类型的节拍都有自己的频率响应。因此,本文提出了双频连续小波变换,以最大限度地提高心电信号去噪后的信噪比。利用MIT-BIH心律失常数据库的心电信号对该算法进行了评价。结果证明了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement of signal to noise ratio (SNR) in ECG signals based on dual-band continuous wavelet transform
For ECG signal analysis, a QRS detection algorithm is very important. The QRS detection algorithm consists of two steps, i.e., ECG preprocessing and ECG beat detection. In preprocessing step, noises in ECG signals are removed. The higher signal to noise ratio (SNR) after noise removal in preprocessing step leads to the less complicated algorithm in beat detection step and the increase in accuracy. However, ECG signals have various types in the real situation such as normal beat and premature ventricular contraction (PVC) beat. Each type of beat has its own frequency response. Therefore, we propose the dual-band continuous wavelet transform to maximize the SNR of ECG signals after noise removal in this paper. The proposed algorithm was evaluated with the ECG signals from MIT-BIH arrhythmia database. Results demonstrate the feasibility of the method.
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