Xu Da, Zhang Guanqun, Olivier N, Mukkamala Ramakrishna
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:3453-6. doi: 10.1109/IEMBS.2010.5627869.
Pulse wave velocity (PWV) determined through the foot-to-foot time delay between carotid and femoral artery waveforms is an index of aortic stiffness with proven clinical value. However, handheld transducers, which are often used to non-invasively measure the waveforms, are prone to motion artifact that may limit the full potential of this index. Here, we conceived an artifact robust technique to estimate PWV based on an arterial tube model. We applied the technique to high fidelity canine arterial pressure waveforms before and after contamination with known amounts of noise. Our results showed that, as the signal-to-noise ratio decreased, the PWV estimates of the technique predicted diastolic and mean arterial pressure with increasingly greater accuracy than the PWV estimates of the conventional foot-to-foot detection technique.
通过颈动脉和股动脉波形之间的足对足时间延迟确定的脉搏波速度(PWV)是具有已证实临床价值的主动脉僵硬度指标。然而,常用于无创测量波形的手持式换能器容易出现运动伪影,这可能会限制该指标的全部潜力。在此,我们构思了一种基于动脉管模型的抗伪影技术来估计PWV。我们将该技术应用于已知量噪声污染前后的高保真犬动脉压力波形。我们的结果表明,随着信噪比降低,该技术的PWV估计值预测舒张压和平均动脉压的准确性比传统足对足检测技术的PWV估计值越来越高。