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Advanced template matching algorithm for instantaneous heartbeat detection using continuous wave radar systems

机译:使用连续波雷达系统进行瞬时心跳检测的高级模板匹配算法

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Instantaneous heartbeat detection is a key parameter in modern vital sign monitoring. Continuous wave (CW) radar systems enable contactless measurements of the vibrations on the human skin effected by heartbeats. Since a high accuracy as well as robustness of the measurement sensor is appreciated, the belonging signal processing routine has to deal with challenging requirements. In this paper, an advanced template matching (ATM) algorithm is proposed to enhance the performance regarding instantaneous heartbeat detection using CW radar systems. Compared to common template matching algorithms, multiple heterogeneous templates are utilized in this approach, at which the appropriate template type is determined by prior feature detection. A 24 Ghz Six-Port microwave interferometer is used for vital sign measurements of a person-under-test. The functionality of the proposed algorithm is verified by a synchronous reference electrocardiogram (ECG) and its enhancement is shown by reducing the root-mean-square error (RMSE) of the interbeat intervals (IBI) compared to an ordinary template matching algorithm.
机译:瞬时心跳检测是现代生命体征监测中的关键参数。连续波(CW)雷达系统可实现非接触式测量心跳引起的人体皮肤振动。由于人们对测量传感器的高精度和鲁棒性表示赞赏,因此所属的信号处理程序必须应对挑战性的要求。本文提出了一种先进的模板匹配(ATM)算法,以提高使用CW雷达系统进行瞬时心跳检测的性能。与普通模板匹配算法相比,此方法中使用了多个异构模板,在这种情况下,可以通过先前的特征检测来确定适当的模板类型。 24 GHz六端口微波干涉仪用于被测者的生命体征测量。与常规模板匹配算法相比,该算法的功能已通过同步参考心电图(ECG)进行了验证,并且通过减少心跳间隔(IBI)的均方根误差(RMSE)来显示其增强功能。

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