Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, 1000 Ljubljana, Slovenia.
Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, 1000 Ljubljana, Slovenia.
Comput Biol Med. 2022 Dec;151(Pt A):106238. doi: 10.1016/j.compbiomed.2022.106238. Epub 2022 Oct 28.
To improve the understanding of the underlying physiological processes that lead to preterm birth, and different term delivery modes, we quantitatively characterized and assessed the separability of the sets of early (23rd week) and later (31st week) recorded, preterm and term spontaneous, induced, cesarean, and induced-cesarean electrohysterogram (EHG) records using several of the most widely used non-linear features extracted from the EHG signals. Linearly modeled temporal trends of the means of the median frequencies (MFs), and of the means of the peak amplitudes (PAs) of the normalized power spectra of the EHG signals, along pregnancy (from early to later recorded records), derived from a variety of frequency bands, revealed that for the preterm group of records, in comparison to all other term delivery groups, the frequency spectrum of the frequency band B0L (0.08-0.3 Hz) shifts toward higher frequencies, and that the spectrum of the newly identified frequency band B0L' (0.125-0.575 Hz), which approximately matches the Fast Wave Low band, becomes stronger. The most promising features to separate between the later preterm group and all other later term delivery groups appear to be MF (p=1.1⋅10) in the band B0L of the horizontal signal S3, and PA (p=2.4⋅10) in the band B0L' (S3). Moreover, the PA in the band B0L' (S3) showed the highest power to individually separate between the later preterm group and any other later term delivery group. Furthermore, the results suggest that in preterm pregnancies the resting maternal heart rate decreases between the 23rd and 31st week of gestation.
为了深入了解导致早产和不同足月分娩方式的潜在生理过程,我们使用从 EHG 信号中提取的几种最广泛使用的非线性特征,对早期(第 23 周)和晚期(第 31 周)记录的早产和足月自发性、诱导性、剖宫产和诱导性剖宫产 EHG 记录进行了定量特征描述和可分离性评估。沿着妊娠时间(从早期到晚期记录)对 EHG 信号的归一化功率谱的中值频率(MF)和峰值幅度(PA)均值的线性模型时间趋势进行了建模,该趋势源自各种频带,结果表明与所有其他足月分娩组相比,记录的早产儿组的频带 B0L(0.08-0.3 Hz)的频谱向更高频率移动,而新识别的频带 B0L'(0.125-0.575 Hz)的频谱变得更强,该频谱大致对应快波低频带。最有希望用于区分晚期早产组和所有其他晚期足月分娩组的特征似乎是水平信号 S3 的 B0L 频带中的 MF(p=1.1⋅10)和 B0L'(S3)频带中的 PA(p=2.4⋅10)。此外,B0L'(S3)频带中的 PA 具有将晚期早产组与任何其他晚期足月分娩组区分开来的最高能力。此外,研究结果表明,在早产妊娠中,母体静息心率在第 23 周到第 31 周之间下降。