University of Massachusetts Medical School Faculty Publications

Title

Point process modeling of interbreath interval: a new approach for the assessment of instability of breathing in neonates

UMMS Affiliation

Department of Neurology

Date

10-2013

Document Type

Article

Medical Subject Headings

*Algorithms; Animals; Animals, Newborn; Computer Simulation; Diagnosis, Computer-Assisted; Humans; Infant, Newborn; Infant, Premature; *Models, Biological; *Models, Statistical; Rats; Respiratory Function Tests; Respiratory Rate; *Signal Processing, Computer-Assisted

Disciplines

Biomedical Engineering and Bioengineering | Neurology | Statistical Models

Abstract

Interbreath interval (IBI), the time interval between breaths, is an important measure used to analyze irregular breathing patterns in neonates. The discrete bursts of neural activity generate the IBI time series, which exhibits stochastic as well as deterministic dynamics. To quantify the irregularity of breathing, we propose a point process model of IBI using a comprehensive stochastic dynamic modeling framework. The IBIs of immature breathing patterns exhibit a long tail distribution and within a point process model, we have considered the lognormal distribution to represent the stochastic IBI characteristics. An autoregressive (AR) function is embedded within the model to capture the short-term IBI dynamics including abrupt IBI prolongations related to sporadic and periodic apneas that are common in neonates. We tested the utility of our paradigm for depicting the respiratory dynamics in neonatal rats and in preterm infants. Kolmogorov-Smirnov (KS) and independence tests reveal that the model accurately tracks the dynamic characteristics of the signals. In preterm infants, our model-derived indices of IBI instability strongly correlate with clinically derived indices of maturation. Our results validate a new class of algorithms, based on the point process theory, for defining instantaneous measures of breathing irregularity in neonates.

Rights and Permissions

Citation: Indic P, Paydarfar D, Barbieri R. Point process modeling of interbreath interval: a new approach for the assessment of instability of breathing in neonates. IEEE Trans Biomed Eng. 2013 Oct;60(10):2858-66. doi:10.1109/TBME.2013.2264162. Link to article on publisher's site

Related Resources

Link to Article in PubMed

Keywords

UMCCTS funding

PubMed ID

23739777