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Heartbeat detection with Doppler radar based on estimation of average R-R interval using Viterbi algorithm

机译:基于维特比算法估计平均R-R间隔的多普勒雷达心跳检测

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Vital signs are related to mental stress conditions. In particular, the variation of R-R interval (the peak-to-peak interval of heartbeats) reflects mental stress. For measuring heart rate, non-contact detection using Doppler radar has been studied in many works. In this paper, we propose an algorithm to detect periodic heartbeats for some periods in which the R-R intervals are almost equal. In the long term, the R-R intervals gradually vary, however, the R-R intervals are almost equal within a short period. To detect those periods, we assume that the R-R intervals always have almost equal intervals. Then, we detect periodic peaks appearing at almost the equal intervals by using the Viterbi algorithm. After detecting periodic peaks, we detect the periods during which the R-R intervals are almost equal, based on the variance of the detected peak-to-peak intervals. Moreover, we estimate an average R-R interval and find peaks that appear at the interval nearly equal to the estimated average R-R interval within each detected period. Experimental results show that the proposed algorithm improves RMSEs (root mean square error) of the R-R interval compared with the conventional methods.
机译:生命体征与精神压力状况有关。特别是,R-R间隔(心跳的峰到峰间隔)的变化反映了精神压力。为了测量心率,已经在许多工作中研究了使用多普勒雷达的非接触式检测。在本文中,我们提出了一种在R-R间隔几乎相等的时间内检测周期性心跳的算法。从长远来看,R-R间隔逐渐变化,但是,R-R间隔在短时间内几乎相等。为了检测这些周期,我们假设R-R间隔始终具有几乎相等的间隔。然后,我们使用维特比算法检测几乎以相等间隔出现的周期性峰。在检测到周期性的峰值之后,我们根据检测到的峰峰值间隔的变化来检测R-R间隔几乎相等的时间段。此外,我们估计平均R-R间隔,并找到在每个检测周期内几乎等于估计的平均R-R间隔的间隔处出现的峰。实验结果表明,与传统方法相比,该算法改善了R-R区间的RMSE(均方根误差)。

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