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Development of a Low-Power Heart Rate Monitor Device for Observation of Heart Rate Variability

机译:用于观察心率变异性的低功率心率监测器的开发

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Heart rate variability is a useful tool for observing the autonomous modulation from the nervous system on the heart rate. Current acquisition concept relies on the electrocardiogram with post-processing to retrieve heart rate signal and is inefficient for the intended purpose. The IPFM model presents a simple method for heart beat generation and can be modified to give a very efficient heartbeat sampler. In this paper, it is shown how a new acquisition concept can be obtained from the manipulation of the time varying threshold IPFM model. A low-power acquisition solution is proposed and implemented on an embedded platform as a proof-of-concept. Validation of the proposed system is shown by comparison with the electrocardiogram as a gold standard. Results show good validation performance on 3 test recordings of 5 min each ($gt1000$ beats total, aggregate MSE $=1.73imes 10^{-4}$). The sampled signal can also be used as a substitute QRS detector (93.16% detection rate on $gt1000$ beats). Another line of study aims at analyzing sampling rate reduction effect on observed heart rate variability, to assess potential reduction of power consumption. It was shown that the mean HRV profile can be reliably obtained even at low count frequencies, whereas higher frequencies are required for variable profile capture. The best frequency band is more than 2 times less than standard ECG recording rate.
机译:心率变异性是观察神经系统对心率的自主调节的有用工具。当前的采集概念依赖于具有后处理功能的心电图来检索心率信号,并且对于预期的目的而言效率低下。 IPFM模型提供了一种简单的心跳生成方法,可以对其进行修改以提供非常有效的心跳采样器。在本文中,显示了如何通过时变阈值IPFM模型的操纵来获得新的采集概念。提出并在嵌入式平台上实现了一种低功耗的采集解决方案,以作为概念验证。通过与作为金标准的心电图进行比较,显示了所提出系统的有效性。结果显示,在3条测试记录中,每条5分钟都具有良好的验证性能(总计$ \ gt1000 $次,MSE总计$ = 1.73 \乘以10 ^ {-4} $)。采样的信号也可以用作替代QRS检测器($ \ gt1000 $拍时的检测率为93.16%)。另一项研究旨在分析采样速率降低对观察到的心率变异性的影响,以评估功耗的潜在降低。结果表明,即使在低计数频率下,也可以可靠地获得平均HRV曲线,而对于可变曲线捕获则需要更高的频率。最佳频段比标准ECG记录速率小2倍以上。

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