Causality detection in cardio-postural interaction under orthostatic stress induced by quiet standing using transfer entropy

A. Verma, Amanmeet Garg, A. Blaber, R. Fazel-Rezai, K. Tavakolian
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引用次数: 2

Abstract

Representative signals of the cardiovascular and postural systems are known to interact with each other under orthostatic stress to maintain homeostasis, however, causal interaction between them is still unknown. In this research the mathematical framework of transfer entropy was applied to explore the existence of cause and effect relationship of anterior-posterior (COPy), medio-lateral (COPx) and resultant body sway (COPr) with blood pressure waveform (BPW) and calf muscle electromyogram (EMG). Simultaneous blood pressure, calf EMG, COPx, COPy and COPr data were acquired from 5 healthy young subjects during a 5-minute sit to stand test. Data from the last 4 minutes in the stand phase was analyzed for causality between the signal pairs. A moving time window of 15 second length with a 5 second overlap between successive windows resulted in a total of 23 estimates of causality. The results indicate the existence of a causal interaction between the variables in cardio-postural interactions. The BPW showed dominant causal coupling with COPx, COPy and COPr. Additionally, EMG showed dominant causal coupling with COPy and COPr, with COPx similar amount of bidirectional causality was observed. The results strongly suggest the presence of a directional causal loop from the blood pressure control center playing a central role.
利用传递熵检测静立应激下心位相互作用的因果关系
已知心血管系统和体位系统的代表性信号在直立应激下相互作用以维持体内平衡,然而,它们之间的因果相互作用仍然未知。本研究应用传递熵的数学框架,探讨血压波形(BPW)和小腿肌电图(EMG)与前后(COPy)、中外侧(COPx)及由此产生的身体摇摆(COPr)的因果关系。5名健康青年受试者在5分钟坐立测试期间同时获得血压、小腿肌电图、COPx、COPy和COPr数据。对站立期最后4分钟的数据进行分析,以确定信号对之间的因果关系。15秒长度的移动时间窗口与连续窗口之间的5秒重叠导致总共23个因果关系估计。结果表明,在心脏-姿势相互作用的变量之间存在因果相互作用。BPW与COPx、COPy和COPr呈显性因果关系。此外,肌电图显示与COPy和COPr的主要因果关系,COPx的双向因果关系也相似。研究结果强烈表明,血压控制中心起着重要作用,存在一个定向的因果循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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