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Noninvasive cuffless blood pressure estimation using pulse transit time, Womersley number, and photoplethysmogram intensity ratio

机译:使用脉冲过渡时间,Womersley号和光学仪测量比率的非侵蚀性诱惑血压估计

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Objective: Continuous cuffless blood pressure (BP) monitoring research has emerged as blood pressure is one of the dynamic parameters which reflects cardiac arrhythmias and rheological disorders without the drawbacks of current techniques. All the existing measurement techniques are cuff-based with drawbacks such as being discontinuous in nature, being uncomfortable for the patient, etc. Therefore, the goal is to develop an algorithm to estimate BP accurately using the pulse transit time (PTT), photoplethysmogram intensity ratio (PIR) and Womersley number (α) in a noninvasive way. Approach: The PTT technique holds the promise of real-time, cuffless, continuous BP monitoring in clinical settings. However, the non-Newtonian fluid nature of blood is considered insignificant in the conventional PTT model-based BP modeling. In the proposed work, α, representing viscous effects, along with PTT and PIR, is included in the algorithm since it is also one of the parameters that affects the BP. Main results: The proposed algorithm is evaluated with 42 healthy and 39 diseased subjects and compared with the other conventional techniques to evaluate the importance of viscous effects in BP, using performance metrics like mean ± standard deviation, and 95% confidence interval for bias and limits of agreement; a better estimate is achieved with the proposed algorithm. Significance: The proposed algorithm reflects the influences of vasomotor tone and baroflex as well, which makes it suitable for the assessment of BP in both healthy and diseased subjects, with improved accuracy than the current measurement techniques.
机译:目的:连续触控血压(BP)监测研究已出现,随着血压是反映心律失常和流变障碍而无需当前技术的缺点的动态参数之一。所有现有的测量技术都是基于袖带的缺点,例如在自然中是不连续的,对患者感到不舒服等,因此目标是使用脉冲传输时间(PTT),光电电肌谱强度精确地估计BP的算法。以非侵入性方式(PIR)和Womersley(α)比率。方法:PTT技术在临床环境中拥有实时,无齿状,连续BP监测的承诺。然而,在基于PTT模型的BP造型中,血液的非牛顿流体性质被认为是微不足道的。在所提出的工作中,表示粘性效果以及PTT和PIR的α包括在算法中,因为它也是影响BP的参数之一。主要结果:该算法用42例健康和39个患病的受试者进行评估,并与其他常规技术进行比较,以评估BP中粘性效应的重要性,使用平均值±标准偏差等性能指标,以及95%的偏置和限制的置信区间协议;通过所提出的算法实现更好的估计。意义:该算法的意义反映了血管瘤音调和Baroflex的影响,这使得适用于对健康和患病受试者的BP进行评估,其精度高于当前测量技术。

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