利用多普勒超声波形的主成分分析检测新生儿异常脑血流动力学。
The detection of abnormal neonatal cerebral haemodynamics using principal component analysis of the Doppler ultrasound waveform.
作者信息
Evans D H, Archer L N, Levene M I
出版信息
Ultrasound Med Biol. 1985 May-Jun;11(3):441-9. doi: 10.1016/0301-5629(85)90155-3.
Doppler ultrasound recordings were made from the anterior cerebral arteries of 40 normal full-term babies and 14 mature babies with intracranial pathology. The maximum velocity waveforms were extracted using spectral analysis and further analyzed using the Pourcelot resistance index method and the principal component method. Principal component analysis was found to be superior to the currently widely used resistance index method and may significantly enhance the value of Doppler ultrasound for detecting abnormal cerebral haemodynamics in neonates.
对40名正常足月婴儿和14名患有颅内病变的成熟婴儿的大脑前动脉进行了多普勒超声记录。使用频谱分析提取最大速度波形，并进一步使用普尔塞洛特阻力指数法和主成分分析法进行分析。结果发现，主成分分析优于目前广泛使用的阻力指数法，可能会显著提高多普勒超声在检测新生儿异常脑血流动力学方面的价值。
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