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Short time cardiovascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform

机译:使用经验模式分解和连续小波变换的连续波多普勒雷达登革热筛选的短时间心血管脉冲估计

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Contactless measurement of cardio-vascular pulse acts an essential role in clinical medical sectors. Estimating cardio-vascular pulses based on continuous-wave (CW) Doppler radar in limited time while maintaining the accuracy is a challenging task. In this paper, we propose a signal processing method that combines empirical mode decomposition (EMD) and continuous wavelet transform (CWT) for a short time estimation of heart rate (HR) and inter-beat-interval from radar signals. We evaluate performance of the proposed method using 85 patients with dengue fever and 40 healthy subjects. Subsequently, the estimated contactless HR is compared to that of a commercial contact-type medical device. The result shows that the HR can be estimated within a period of 5 s with an accuracy of 96.2 +/- 2.5%. The patients with dengue fever show an elevated HR and a decreased standard deviation of heartbeat interval (SDHI). Finally, linear discriminant analysis (LDA) is utilized with two parameters HR and SDHI to classify the dengue patients, achieving the sensitivity and specificity values of 86.3% and 86.9%, respectively.
机译:非接触式心血管脉冲的测量作用于临床医学领域的重要作用。在有限的时间内基于连续波(CW)多普勒雷达的基于连续波(CW)多普勒雷达的心动脉冲,同时保持精度是一个具有挑战性的任务。在本文中,我们提出了一种信号处理方法,该方法将经验模式分解(EMD)和连续小波变换(CWT)组合在短时间估计心率(HR)和雷达信号的间隔间隔。我们使用85例登革热和40名健康受试者使用85名患者来评估所提出的方法的性能。随后,将估计的非接触式HR与商业接触式医疗装置的影响进行了比较。结果表明,可以在5秒的时间内估计HR,精度为96.2 +/- 2.5%。登革热的患者升高了HR升高,心跳间隔的标准偏差降低(SDHI)。最后,利用线性判别分析(LDA)与两种参数HR和SDHI分析登革热患者,分别实现86.3%和86.9%的敏感性和特异性值。

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