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Analysis of Human Physiological Parameters Using Real-Time HRV Estimation from Acquired ECG Signals

机译:从获取的ECG信号使用实时HRV估计分析人体生理参数

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The overall healthiness of the heart can be computed from Electrocardiogram. The healthiness of the heart depends on several lifestyle parameters, like as- stress, sleeping pattern, smoking habit etc. In this paper, an algorithm to determine Heart Rate Variability from the acquired ECG signal on a real-time basis is presented. Impacts of above-stated lifestyle parameters on cardiac health using Heart Rate Variability analysis are also computed. ECG signal gets contaminated with different sources of noises while acquisition. Multi-rate FIR Impulse Filter is used for de-noising of the acquired signal. Heart Rate Variability analysis and real-time plotting are done on de-noised output for accurate feature extraction. A simple robust hardware realizable algorithm was developed for analyzing obtained HRV to state different health conditions of the heart.
机译:心脏的整体健康状况可以通过心电图来计算。心脏的健康状况取决于多个生活方式参数,例如压力,睡眠方式,吸烟习惯等。在本文中,提出了一种从获取的ECG信号实时确定心率变异性的算法。还使用心率变异性分析计算了上述生活方式参数对心脏健康的影响。采集时,心电信号会被不同的噪声源污染。多速率FIR脉冲滤波器用于对采集的信号进行降噪。心率变异性分析和实时绘图是在去噪后的输出上完成的,以准确提取特征。开发了一种简单而强大的硬件可实现算法,用于分析获得的HRV以说明心脏的不同健康状况。

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