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New algorithm for automatic determination of systolic and diastolic blood pressures in oscillometric measurements

机译:在示波法测量中自动确定收缩压和舒张压的新算法

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Most automated non-invasive blood pressure measuring devices are based on some empirically derived criteria applied to the oscillometric index, which is defined as a certain characteristic physical property of pressure pulses measured by an inflated cuff wrapped around the upper arm during cuff pressure deflation. In this study, different algorithms for automatic determination of the systolic and diastolic pressures are compared. In addition to the measured pressure pulses, which are one of a typical physical property used for the oscillometric index, some other properties are applied such as a time derivative and a powered short time variance of the pressure data, as well as the audible part of the data measured by a microphone implanted in the cuff (Korotkoff sounds). Beside known empirical algorithms based on characteristic ratios of the oscillometric pulse amplitude, and the maximum and minimum slope of the oscillometric envelope, a new algorithm is introduced based on the presence and absence of oscillometric activity. This algorithm can be applied either to the powered short time variance of the pressure changes in the cuff or to the Korotkoff sounds.
机译:大多数自动化的非侵入式血压测量设备都是基于一些经验得出的适用于示波指标的标准,该标准被定义为在袖带压力放气期间由缠绕在上臂上的充气袖带测量的压力脉冲的某些特征物理特性。在这项研究中,比较了自动确定收缩压和舒张压的不同算法。除了测得的压力脉冲(这是示波指数的典型物理特性之一)外,还应用了其他一些特性,例如压力数据的时间导数和动力短时方差,以及可听见的部分。由植入袖带中的麦克风测量的数据(Korotkoff声音)。除了基于示波脉冲幅度的特征比以及示波包络线的最大和最小斜率的已知经验算法之外,还基于示波活动的存在和不存在引入了一种新算法。该算法既可以应用于袖带内压力变化的动力短时变化,也可以应用于Korotkoff声音。

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