Department of Multimedia System Engineering, The Catholic University of Korea, Bucheon, Gyeonggi, South Korea.
Comput Methods Programs Biomed. 2012 Dec;108(3):1121-32. doi: 10.1016/j.cmpb.2012.08.002. Epub 2012 Aug 22.
In this paper, we present a method for detecting the R-peak of an ECG signal by using an singular value decomposition (SVD) filter and a search back system. The ECG signal was detected in two phases: the pre-processing phase and the decision phase. The pre-processing phase consisted of the stages for the SVD filter, Butterworth High Pass Filter (HPF), moving average (MA), and squaring, whereas the decision phase consisted of a single stage that detected the R-peak. In the pre-processing phase, the SVD filter removed noise while the Butterworth HPF eliminated baseline wander. The MA removed the remaining noise of the signal that had gone through the SVD filter to make the signal smooth, and squaring played a role in strengthening the signal. In the decision phase, the threshold was used to set the interval before detecting the R-peak. When the latest R-R interval (RRI), suggested by Hamilton et al., was greater than 150% of the previous RRI, the method of detecting the R-peak in such an interval was modified to be 150% or greater than the smallest interval of the two most latest RRIs. When the modified search back system was used, the error rate of the peak detection decreased to 0.29%, compared to 1.34% when the modified search back system was not used. Consequently, the sensitivity was 99.47%, the positive predictivity was 99.47%, and the detection error was 1.05%. Furthermore, the quality of the signal in data with a substantial amount of noise was improved, and thus, the R-peak was detected effectively.
在本文中，我们提出了一种通过奇异值分解（SVD）滤波器和回溯搜索系统检测 ECG 信号 R 波的方法。ECG 信号检测分为两个阶段：预处理阶段和决策阶段。预处理阶段包括 SVD 滤波器、巴特沃斯高通滤波器（HPF）、移动平均（MA）和平方等阶段，而决策阶段仅包括一个检测 R 波的阶段。在预处理阶段，SVD 滤波器去除噪声，而巴特沃斯 HPF 消除基线漂移。MA 去除经过 SVD 滤波器处理的信号中剩余的噪声，使信号平滑，平方则起到增强信号的作用。在决策阶段，阈值用于设置检测 R 波之前的间隔。当 Hamilton 等人提出的最新 R-R 间期（RRI）大于前一个 RRI 的 150%时，修改了在这种间隔中检测 R 波的方法，使其大于两个最新 RRIs 中最小间隔的 150%。当使用修改后的回溯搜索系统时，峰值检测的错误率降低到 0.29%，而不使用修改后的回溯搜索系统时的错误率为 1.34%。因此，灵敏度为 99.47%，阳性预测率为 99.47%，检测误差为 1.05%。此外，大量噪声数据中信号的质量得到改善，从而有效地检测到 R 波。
