Med Biol Eng Comput - Point process time-frequency analysis of dynamic respiratory patterns during meditation practice.

Tópicos

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Resumo

Respiratory sinus arrhythmia (RSA) is largely mediated by the autonomic nervous system through its modulating influence on the heart beats. We propose a robust algorithm for quantifying instantaneous RSA as applied to heart beat intervals and respiratory recordings under dynamic breathing patterns. The blood volume pressure-derived heart beat series (pulse intervals, PIs) are modeled as an inverse Gaussian point process, with the instantaneous mean PI modeled as a bivariate regression incorporating both past PIs and respiration values observed at the beats. A point process maximum likelihood algorithm is used to estimate the model parameters, and instantaneous RSA is estimated via a frequency domain transfer function evaluated at instantaneous respiratory frequency where high coherence between respiration and PIs is observed. The model is statistically validated using Kolmogorov-Smirnov goodness-of-fit analysis, as well as independence tests. The algorithm is applied to subjects engaged in meditative practice, with distinctive dynamics in the respiration patterns elicited as a result. The presented analysis confirms the ability of the algorithm to track important changes in cardiorespiratory interactions elicited during meditation, otherwise not evidenced in control resting states, reporting statistically significant increase in RSA gain as measured by our paradigm.

Resumo Limpo

respiratori sinus arrhythmia rsa larg mediat autonom nervous system modul influenc heart beat propos robust algorithm quantifi instantan rsa appli heart beat interv respiratori record dynam breath pattern blood volum pressurederiv heart beat seri puls interv pis model invers gaussian point process instantan mean pi model bivari regress incorpor past pis respir valu observ beat point process maximum likelihood algorithm use estim model paramet instantan rsa estim via frequenc domain transfer function evalu instantan respiratori frequenc high coher respir pis observ model statist valid use kolmogorovsmirnov goodnessoffit analysi well independ test algorithm appli subject engag medit practic distinct dynam respir pattern elicit result present analysi confirm abil algorithm track import chang cardiorespiratori interact elicit medit otherwis evidenc control rest state report statist signific increas rsa gain measur paradigm

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