Analysis of Ventilatory Pattern Variability

摘要: Each breath is not generated de novo; rather, the ventilatory pattern a continuous oscillation in which next related to present one; and being biologic, varies. Further, responsiveness of respiration sensory input dynamic because neural mechanisms scale afferent input. Thus, variability (VPV) has deterministic properties, may vary health disease. We have developed analytical tools distinguish assess linear nonlinear sources VPV. Surrogate data sets obtained by shuffling original while preserving its amplitude distribution autocorrelation function and, thus, properties embedded within are used various types Differences mutual information sample entropy VPV between surrogate reflect set. applied these analytic techniques breathing before after vagotomy, cerebral ischemia, lung injury. Deterministic decreased following each interventions. Finally, our approach can be rhythmic biological signals.