Walton L, Martin T R, Collins M, Sherriff S B, Barber D C
Ultrasound Med Biol. 1983;Suppl 2:263-8.
A group of 80 patients presenting with lower limb ischaemia were classified according to their arteriographic findings. The maximum frequency envelope from the Doppler waveforms obtained from the common femoral artery were retrospectively analysed using a mathematical feature extraction technique, principal component analysis (PCA). Two of the three coefficients uniquely describing each waveform were plotted and classified according to their arteriographic groupings. The best separating planes were then defined. Twenty-eight new patients were subsequently prospectively assessed using the principal components and separating planes defined in the previous study. The results were compared with the arteriographic findings and showed that PCA represents a significant improvement in diagnostic accuracy when compared with other techniques.
一组80例下肢缺血患者根据其血管造影结果进行分类。使用数学特征提取技术主成分分析（PCA）对从股总动脉获得的多普勒波形的最大频率包络进行回顾性分析。描绘出唯一描述每个波形的三个系数中的两个，并根据其血管造影分组进行分类。然后定义最佳分离平面。随后，使用先前研究中定义的主成分和分离平面，对28例新患者进行前瞻性评估。将结果与血管造影结果进行比较，结果表明，与其他技术相比，PCA在诊断准确性方面有显著提高。
