Detection of Fetal ECG R Wave From Single-Lead Abdominal ECG Using a Combination of RR Time-Series Smoothing and Template-Matching Approach
Detection of Fetal ECG R Wave From Single-Lead Abdominal ECG Using a Combination of RR Time-Series Smoothing and Template-Matching Approach
复制标题
结合使用 RR 时间序列平滑和模板匹配方法从单导联腹部心电图检测胎儿心电图 R 波
DOI：
10.1109/access.2019.2917826
复制
发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Sun, Guanghao
中科院分区：
文献类型：
--
作者：
Liu, He;Chen, Deyun;Sun, Guanghao
胎儿心电图（fECG）R波检测是一项具有挑战性的工作，因为它很容易失真，并且经常被各种不可避免的干扰信号所淹没。在这项研究中，我们结合RR时间序列平滑与模板匹配（TM）的方法来检测fECG R波从单导联aECG。根据R波的准周期性，分析了RR时间序列中R波检测的误检和漏检情况，并提出了一种修正算法来区分和校正。fECG R波检测由两个阶段组成。首先，检测到与母体ECG QRS波群（mQRS）不重叠的fECG R波。随后，修正算法校正了未对齐和遗漏的R波，并预测了与mQRS重叠的fECG R波的近似区域。实现了TM算法，以检测与mQRS近似区域重叠的fECG R波。使用奇异值分解，分别从与fQRS不重叠的检测到的fQRS和mQRS构建fECG QRS复合波（fQRS）和mQRS模板。然后，当实际mQRS与近似区域中mQRS和fQRS模板的叠加之间发生最佳相关时，TM算法确定准确位置。使用F-1测度和Bland-Altman分析评估所提出的方法的性能。获得了分别对应于95%和-0.04 +/- 9.00 ms的高准确度值。因此，所提出的方法被认为是在临床和商业应用中提高fECG R波的准确提取。
Fetal electrocardiograph (fECG) R-wave detection from maternal abdominal ECGs (aECGs) is challenging as it is easily distorted and often overwhelmed by a variety of unavoidable interference signals. In this study, we combined RR time-series smoothing with a template-matching (TM) approach to detect fECG R waves from a single-lead aECG. According to the quasi-periodicity of the R wave, we analyzed the cases of misaligned and missed R wave detection in the RR time series and developed an amendment algorithm to distinguish and correct them. The fECG R wave detection consists of two stages. First, an fECG R wave, which did not overlap with the maternal ECG QRS complex (mQRS), was detected. Subsequently, the amendment algorithm corrected the misaligned and missed R waves and predicted the approximate region of the fECG R wave that overlapped with the mQRS. A TM algorithm was implemented to detect the fECG R wave that overlapped with the mQRS in the approximate region. The fECG QRS complex (fQRS) and mQRS templates were built from the detected fQRS and mQRS that did not overlap with the fQRS, respectively, using singular value decomposition. The TM algorithm then determined the accurate location when the most optimal correlation occurred between the actual mQRS and the superposition of the mQRS and fQRS templates in the approximate region. The performance of the proposed method was assessed using F-1 measure and Bland-Altman analysis. High accuracy values were obtained corresponding to 95% and -0.04 +/- 9.00 ms, respectively. The proposed method was therefore considered to enhance accurate extraction of the fECG R wave in both the clinical and commercial applications.