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从多个外周动脉压力波形中盲识别中心主动脉压力波形。

Blind identification of the central aortic pressure waveform from multiple peripheral arterial pressure waveforms.

作者信息

Swamy Gokul, Ling Qi, Li Tongtong, Mukkamala Ramakrishna

机构信息

Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI 48824, USA.

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2006;2006:1822-5. doi: 10.1109/IEMBS.2006.260538.

Abstract

We introduce a blind identification technique to reconstruct the clinically more relevant central aortic pressure waveform from multiple less invasively measured peripheral arterial pressure waveforms. We conducted initial testing of the technique in two swine in which peripheral arterial pressure waveforms from the femoral and radial arteries and reference central aortic pressure were simultaneously measured during diverse hemodynamic conditions. We report an overall error between the estimated and measured central aortic pressure waveforms of 4.8%. Potential clinical applications of the technique may include critical care monitoring with respect to invasive catheter systems and emergency and home monitoring with respect to non-invasive arterial pressure transducers.

摘要

我们引入了一种盲识别技术,用于从多个微创测量的外周动脉压力波形重建临床上更相关的中心主动脉压力波形。我们在两只猪身上对该技术进行了初步测试,在不同的血流动力学条件下,同时测量了股动脉和桡动脉的外周动脉压力波形以及参考中心主动脉压力。我们报告估计的和测量的中心主动脉压力波形之间的总体误差为4.8%。该技术的潜在临床应用可能包括针对侵入性导管系统的重症监护监测,以及针对非侵入性动脉压力传感器的急诊和家庭监测。

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