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A novel multi-wavelength procedure for Systolic blood pressure estimation using Opto-Physiological sensor at peripheral arteries and capillaries

机译:用于在外周动脉和毛细血管中使用光学生理传感器使用光学血压估计的新型多波长步骤

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In this study, the Carelight multi-wavelength opto-electronic patch sensor (OEPS) was adopted to assess the effectiveness of a new approach for estimating the systolic blood pressure (SBP) through the changes in the morphology of the OEPS signal. Specifically, the SBP was estimated by changing the pressure exerted on an inflatable cuff placed around the left upper arm. Pressure acquisitions were performed both with gold standard (i.e. electronic sphygmomanometer), and Carelight sensor (experimental procedure), on subjects from a multiethnic cohort (aged 28 ± 7). The OEPS sensor was applied together with a manual inflatable cuff, going slightly above the level of the SBP with increases of +10mmHg and subsequently deflated by lOmmHg until reaching full deflation. The OEPS signals were captured using four wavelength illumination sources (i.e., green 525 nm, orange 595 nm, red 650 nm and IR 870 nm) on three different measuring sites, namely forefinger, radial artery and wrist. The implemented algorithm provides information on the instant when the SBP was reached and the signal is lost since the vessel is completely blocked. Similarly, it detected the signal resumption when the external pressure dropped below the SBP. The findings demonstrated a good correlation between the variation of the pressure and the corresponding OEPS signal with the most accurate result achieved in the fingertip among all wavelengths, with a temporal identification error of 8.07 %. Further studies will improve the clinical relevance on a cohort of patients diagnosed with hyper- or hypotension, in order to develop a wearable blood-pressure device.
机译:在这项研究中,采用了凯明多波长光电贴片传感器(OEP)来评估一种新方法来估算收缩压(SBP)通过OEP信号形态的变化来估算收缩压(SBP)。具体地,通过改变施加在左上臂周围的可充气袖带上的压力来估计SBP。通过金标准(即电子血压计)和凯特岛传感器(实验程序),对来自多种族队列(年龄28±7±7岁)的主体进行压力采集。 OEPS传感器与手动充气袖带一起施加在一起,略高于SBP的水平,随后随后通过LommHG放气,直至达到完全放气。在三个不同的测量部位上使用四个波长照明源(即绿色525nm,橙色595nm,红色650nm和Ir 870nm)捕获OEPS信号,即食指,桡动脉和手腕。当达到SBP并且由于血管完全阻塞时,所实施的算法提供了关于瞬间的信息。类似地,当外部压力下降到SBP下方时,它检测到信号恢复。该研究结果证明了压力变化与相应的OEPS信号之间的良好相关性,具有在所有波长之间的指尖中实现的最精确的结果,时间识别误差为8.07%。进一步的研究将提高患有患者患者患者的临床相关性,以便开发可穿戴血压装置。

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