HU Peng-fei1, CHI He-xiang1, LIU Bao-hua1. Application of PCA algorithm and mathematical morphology theory in ABI measurement[J]. 2013, 32(7): 150-152.
HU Peng-fei1, CHI He-xiang1, LIU Bao-hua1. Application of PCA algorithm and mathematical morphology theory in ABI measurement[J]. 2013, 32(7): 150-152. DOI: 10.13873/j.1000-97872013.07.033.
PCA算法和数学形态学理论在踝臂指数测量中的应用
摘要
踝臂指数(ABI)的准确测量在临床医学诊断中具有重要意义。在测量踝臂指数时
准确测量上下肢收缩压是测量的关键。当袖带加压到可以阻断血管中血液流动时开始缓慢放气
脉搏重新恢复波动的第一个脉搏波所对应的袖带压力就等于收缩压。由于在袖带加压时
不能完全阻断下肢所有血管的血液流动
这样很难准确测量下肢动脉的收缩压。利用PCA算法将混合的脉搏波信号进行分离
对分离后的脉搏波数据用数学形态学的形态梯度理论进行处理。实验表明:将采集的脉搏波信号分离后
应用基于数学形态学的形态学梯度理论可以成功找到脉搏波重新恢复波动的起点
从而可以准确地测量ABI。
Abstract
Accurate measurement of ankle-brachial index(ABI) has important significance in clinical medical diagnosis.In the measurement of ABI
accurate measurement of upper and lower limb systolic blood pressure is the key.When the cuff pressure blocks vascular blood flow
the cuff begins to slow deflation.Pulse backing to fluctuations of the first pulse wave corresponding to the cuff pressure is equal to the systolic pressure.Because of in the cuff pressure
the blocking of the lower limb vascular blood flow are not completely
so it is difficult to measure arterial systolic pressure of the lower limb accurately.PCA algorithm is used to separate the hybrid pulse wave
and mathematical morphology gradient theory is used to process the separated pulse wave.The experiment indicates that the application based on mathematical morphology gradient theory can successfully find the starting point of the pulse wave backing to fluctuations
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