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An Open Source MATLAB Tool for Heart Rate Turbulence and Its Application to Chronic Heart Failure Assessment

机译:用于心率湍流的开源Matlab工具及其在慢性心力衰竭评估中的应用

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In this paper we describe a software package for the development of a Heart Rate Turbulence (HRT) evaluation tool, that provides also an instrument for HRT analysis. In fact, as HRT measurement represents an indirect assessment of baroreflex, it is of great importance in all those clinical situations that benefit from baroreflex evaluation, specially in terms of risk prediction, monitoring and stratification. Based on a review of the state of the art of software related to the HRT analysis, we motivate the development of this open source software platform which could be an interesting tool both for studying HRT or for performing clinical experiments for research purposes. We present the results of the application of our package to two ECG databases from Physionet of patients suffering from Chronic Heart Failure. We performed a discriminant analysis using the HRT parameters in order to distinguish between severe CHF from mild CHF. We adopted as discriminant function the Mahalanobis distances with stratified covariance estimates. The computed HRT parameters enables severe CHF patients to be distinguished from mild CHF ones with a sensitivity and a specificity rate of 100.0% and 72.7%, respectively. As proved by the results of this research, HRT measurements appear to be an effective instrument for Congestive Heart Failure severity assessment. In particular we found that the combined use of two of the HRT parameters computed through our Matlab tool, increases the discrimination performances, especially in terms of sensitivity and accuracy. We firmly believe that the results of our study and of previously published papers about HRT encourage further investigations concerning HRT parameters in many other clinical situations and, in this scenario, the developed Matlab tool could show its potentiality for future researches.
机译:在本文中,我们描述了一种用于开发心率湍流(HRT)评估工具的软件包,其还提供了一种用于HRT分析的仪器。事实上,随着HRT测量代表Baroreflex的间接评估,在所有这些临床情况下,从苦差经理评估中受益,特别是风险预测,监测和分层的临床情境非常重要。基于对与HRT分析有关的软件技术的审查,我们激励了该开源软件平台的开发,这可能是用于研究HRT或用于对研究目的进行临床实验的有趣工具。我们向患有慢性心力衰竭患者的Phearioneet介绍了我们的包裹到两个ECG数据库的结果。我们使用HRT参数进行判别分析,以区分从轻度CHF的严重CHF。我们采用判别函数Mahalanobis与分层协方差估计的距离。计算的HRT参数使严重的CHF患者能够与敏感性的轻度CHF患者区分别区别于100.0%和72.7%的特异性率。如本研究结果所证明,HRT测量似乎是充血性心力衰竭严重性评估的有效仪器。特别是我们发现,通过我们的Matlab工具计算的两个HRT参数的组合使用增加了辨别性能,尤其是在灵敏度和准确性方面。我们坚信我们的研究结果和先前公布的关于HRT的论文会鼓励关于许多其他临床情况的HRT参数进一步调查,并且在这种情况下,发达的Matlab工具可以表现出未来研究的潜力。

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