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
Publication Date
2013-10
Document Type
Article
Subjects
*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.
Keywords
UMCCTS funding
DOI of Published Version
10.1109/TBME.2013.2264162
Source
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
Journal/Book/Conference Title
IEEE transactions on bio-medical engineering
PubMed ID
23739777
Repository Citation
Indic P, Paydarfar D, Barbieri R. (2013). Point process modeling of interbreath interval: a new approach for the assessment of instability of breathing in neonates. University of Massachusetts Medical School Faculty Publications. https://doi.org/10.1109/TBME.2013.2264162. Retrieved from https://escholarship.umassmed.edu/faculty_pubs/339