Assessing Nonlinear Properties in Breathing Signals from Preterm Infants
Résumé
Breathing signals from preterm infants are studied with the noise titration technique and surrogate-data analysis using nonlinear indexes from correlation dimension and sample entropy. We verify that most analyzed breathing time-series contains nonlinear dynamics, and their strengths become more significant as maturational aspects (weight and post-conceptional age) increase. This behavior is partially followed in variability-series extracted from five-minute breathing signals. We also observe that entropy and titration based tests were more robust than correlation dimension in short and noisy signals.
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