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Assessment of linear and non-linear coupling effect on cardiovascular subsystems in stroke

机译:评估线性和非线性对卒中心血管子系统的耦合作用

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Stroke is a deadly condition. It is a leading cause of death in the world. Even with today's technologies, stroke detection and prevention is still a difficult and inaccurate task. In order to improve stroke detection, more knowledge about the physiological systems that stroke affects must be better understood. Much has been done in past studies already on how stroke affects each subsystem, such as blood pressure, cerebral blood flow, and heart rate. However, not much is known about the independence and relations between the cardiovascular subsystems and other physiological mechanisms. The purpose of this study is to approach this problem by using the nonlinear coupling analysis technique to study the independence of blood pressure, cerebral blood flow, and heart rate based on chaotic measures, in order to determine the relationships between these parameters. The linear coupling relation between heart rate and blood pressure is analyzed in time and frequency domain for evaluating baroreflex. 10 healthy controls and 10 stroke outpatients were enrolled in this study. The result indicates that stroke outpatients have a less independent chaoticness of the three subsystems. Cardiac-baroreceptor sensitivity (B RS) decreased significantly in stroke patients (p<0.05).
机译:中风是致命的情况。它是世界上主要的死亡原因。即使采用当今的技术,中风的检测和预防仍然是一项困难且不准确的任务。为了改善中风检测,必须更好地了解有关中风影响的生理系统的更多知识。在过去的研究中,关于中风如何影响每个子系统的工作已经做了大量工作,例如血压,脑血流量和心率。然而,关于心血管子系统与其他生理机制之间的独立性和关系知之甚少。这项研究的目的是通过使用非线性耦合分析技术来解决这个问题,以基于混沌测量来研究血压,脑血流量和心率的独立性,从而确定这些参数之间的关系。在时域和频域中分析心率与血压之间的线性耦合关系,以评估压力反射。这项研究招募了10名健康对照者和10名中风门诊患者。结果表明,中风门诊患者对这三个子系统的独立性较差。脑卒中患者的心脏压力感受器敏感性(B RS)显着降低(p <0.05)。

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