Wei Zheng, Hongxing Liu, Jianchun Cheng
School of Electronic Science and Engineering, Nanjing University, China.
Biomed Tech (Berl). 2011 Dec;56(6):309-19. doi: 10.1515/BMT.2011.024. Epub 2011 Nov 22.
This paper proposes an improved local principal component analysis (LPCA) in pseudo phase space for fetal heart rate estimation from a single lead abdominal ECG signal. The improved LPCA process can extract both the maternal ECG component and the fetal ECG component in an abdominal signal. The instantaneous fetal heart rate can then be estimated from the extracted fetal ECG waveform. Compared with the classical LPCA procedure and another single lead based fetal heart rate estimation method, our improved LPCA method has shown better robustness and efficiency in fetal heart estimation, testing with synthetic ECG signals and a real fetal ECG database from PhysioBank. For the real fetal ECG validating dataset of six long-duration recordings (obtained between the 22(nd) and 40(th) week of gestation), the average accuracy of the improved LPCA method is 84.1%.
本文提出了一种改进的伪相空间局部主成分分析（LPCA）方法，用于从单导联腹部心电图信号估计胎儿心率。改进的LPCA过程可以从腹部信号中提取母体心电图成分和胎儿心电图成分。然后可以从提取的胎儿心电图波形中估计瞬时胎儿心率。与经典的LPCA程序和另一种基于单导联的胎儿心率估计方法相比，我们改进的LPCA方法在胎儿心率估计方面表现出更好的鲁棒性和效率，使用合成心电图信号和来自PhysioBank的真实胎儿心电图数据库进行了测试。对于六个长时间记录（在妊娠第22周至第40周之间获得）的真实胎儿心电图验证数据集，改进的LPCA方法的平均准确率为84.1%。
