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MODEL FOR NON-INVASIVE CARDIAC OUTPUT MEASUREMENT

机译:非侵入性心输出测量模型

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Aim of the presented work has been the development of an algorithm for a non-invasive, portable, easy to use, and affordable device for measuring systemic cardiovascular parameters like cardiac output and peripheral resistance. The data acquisition is based on a common oscillometric measurement using an occlusive blood pressure cuff and no additional calibration is necessary. The introduced novel algorithm combines several simulation techniques like neural networks or differential equations, which will be explained briefly. Finally we present some results that justify our approach. This kind of model needs no additional external parameters to work and opens therefore good perspectives for non-expert use.
机译:所提出的工作的目的一直是为非侵入性,便携式,易用的算法的开发,以及用于测量心输出和外围电阻等系统性心血管参数的实惠的设备。数据采集​​基于使用闭塞血压袖带的公共示波器测量,并且不需要额外的校准。介绍的新颖算法结合了神经网络或微分方程等若干模拟技术,这将简要解释。最后,我们提出了一些证明我们方法的结果。这种型号不需要额外的外部参数来工作,因此为非专家使用开放的良好视角。

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