High-Accuracy Extraction of Respiratory Sinus Arrhythmia with Statistical Processing Using Normal Distribution
High-Accuracy Extraction of Respiratory Sinus Arrhythmia with Statistical Processing Using Normal Distribution
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DOI：
10.1002/ecj.11441
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发表时间：
2013-09-01
影响因子：
0.3
通讯作者：
Jimbo, Yasuhiko
中科院分区：
文献类型：
--
作者：
Numata, Takashi;Ogawa, Yutaro;Jimbo, Yasuhiko
自主神经系统通过调节交感神经和副交感神经活动对器官的相反影响，在维持动态平衡方面起着重要作用。虽然众所周知，呼吸性窦性心律失常(RSA)的波幅是副交感神经活动的一个指标，但在日常情况下很难实时估计这种活动。这在一定程度上是因为身体运动和早搏。此外，为了实时分析RSA幅度，需要自动识别心电图上的R波，并且存在R波的错误识别的未解决的问题。本文提出了一种利用概率模型进行统计处理来准确估计RSA幅值的方法。然后，我们在身体运动和等长运动中估计副交感神经活动以检验该方法的有效性。结果表明，在存在R波错误识别的情况下，利用该方法可以提取出RSA的幅值。阈值以1%或5%为宜，因为RSA波幅的波形不会跟随10%的等长运动引起的副交感神经活动的突变。此外，使用正态分布的方法比使用卡方分布的方法更适合于统计处理。因此，我们期望所提出的方法可以用于在日常情况下高精度地评估副交感神经活动。(C)2013年威利期刊公司。
The autonomic nervous system is important in maintaining homeostasis by mediating the opposing effects of sympathetic and parasympathetic nervous activity on organs. Although it is known that the amplitude of RSA (respiratory sinus arrhythmia) is an index of parasympathetic nervous activity, it is difficult to estimate that activity in real time in everyday situations. This is in part because of body motion and extrasystole. Further, automatic recognition of the R wave on an electrocardiogram is required for a real-time analysis of the RSA amplitude, and there is an unresolved problem of false recognition of the R wave. In this paper we propose a method of evaluating the amplitude of RSA accurately by statistical processing with probabilistic models. We then estimate parasympathetic nervous activity during body motion and isometric exercise to examine the validity of the method. As a result, using the proposed method we demonstrate that the amplitude of RSA can be extracted in the presence of false recognition of the R wave. An appropriate threshold for the estimate is 1 or 5% because the waveforms of the RSA amplitude do not follow the abrupt changes of parasympathetic nervous activity induced by isometric exercise with the threshold at 10%. Furthermore, the method using the normal distribution is found to be more appropriate than that of the chi-square distribution for statistical processing. Therefore, we expect that the proposed method can be used to evaluate parasympathetic nervous activity with high accuracy in everyday situations. (c) 2013 Wiley Periodicals, Inc.