健康受试者直立和慢呼吸时RRI和呼吸信号的分形角模态

T. Bojić, Zoran Matić, Mirjana M. Platiša, Aleksandar Kalauzi
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引用次数: 1

摘要

我们探讨了缓慢呼吸和直立对RR区间无趋势波动分析(DFA)回归线斜率和呼吸信号的角指数的影响。我们探索的工具是概率密度估计(PDE)。通过应用,我们了解了身体姿势和呼吸方式诱导的DFA角群体行为模式,这些模式具有一定的生理意义。所获得的PDE模式(单峰、双峰等)主要反映了交感神经和副交感神经的适应性调节在不同生理状态下的生理条件变化。
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Fractal angle modality patterns in RRI and respiration signal of healthy subjects responding to orthostasis and slow breathing
We explored influence of slow breathing and orthostasis on angular indices that correspond to slopes of regression lines of detrended fluctuation analysis (DFA) of RR intervals and respiration signal. The tool for our exploration was probability density estimation (PDE). By applying it, we got insights about body posture and breathing regime induced group behavioral patterns of these DFA angles and that these patterns have certain physiological meaning. Mainly, obtained PDE patterns (unimodality, bimodality etc) reflect ergo/tropho-tropic character of sympathetic and parasympathetic adaptive modulation with respect to changes of physical and physiological conditions of diverse physiological states.
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