Department of Electrical Engineering (ESAT), SCD Division, Katholieke Universiteit Leuven, Leuven, Belgium.
Adv Exp Med Biol. 2010;662:163-8. doi: 10.1007/978-1-4419-1241-1_23.
The coherence method (COH) has been widely used to study the concordance between continuously measured signals intervening in the assessment of cerebral autoregulation in neonates. Several research groups have applied this method to mean arterial blood pressure (MABP) combined with cerebral signals such as the intravascular oxygenation (HbD), cerebral tissue oxygenation (TOI), and regional oxygen saturation (rSO(2)) measured by near-infrared spectroscopy (NIRS). All groups contributed in a particular way to the fine-tuning of the application of COH with the Welch averaged periodogram (WAP) method. We have made a comparative study of all published results coupled with an optimization of the use of the WAP method within COH. We have also proposed a pre-processing algorithm to remove signal artefacts, and defined a new critical score value (CSV) for COH to distinguish infants with impaired autoregulation from those without.
相干方法(COH)已被广泛用于研究新生儿脑自动调节评估中连续测量信号之间的一致性。几个研究小组已经将该方法应用于平均动脉血压(MABP)与脑信号(如通过近红外光谱(NIRS)测量的血管内氧饱和度(HbD)、脑氧饱和度(TOI)和局部氧饱和度(rSO2))的组合。所有小组都以特定的方式对应用 Welch 平均周期图(WAP)方法的 COH 进行了微调。我们对所有已发表的结果进行了比较研究,并对 COH 中 WAP 方法的使用进行了优化。我们还提出了一种预处理算法来去除信号伪影,并为 COH 定义了一个新的临界评分值(CSV),以区分自动调节受损的婴儿和没有受损的婴儿。