Complexity Analysis of Lung Function in Pediatric Asthma
Summary
Complexity analysis of lung function examines the intricate temporal patterns and variability of respiratory signals to gain insight into the control mechanisms underlying paediatric asthma. Traditional spirometric measures such as peak expiratory flow and forced expiratory volume provide snapshots of airway calibre but offer limited understanding of dynamic fluctuations that characterise bronchial hyperresponsiveness and loss of physiological adaptability. By applying tools drawn from nonlinear dynamics and time-series analysis – including detrended fluctuation analysis, entropy measures and multifractal scaling – researchers can quantify long-range correlations, irregularity and multiscale variability in breathing patterns. This approach has revealed that children with asthma often exhibit reduced complexity and altered scaling properties in their respiratory signals, reflecting diminished resilience of airway regulation. Complexity metrics show promise both as novel physiological biomarkers for early detection of loss of control and as means to tailor interventions based on individual fluctuation profiles.
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Complexity Analysis of Lung Function in Pediatric Asthma publication trend
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Technical terms
Detrended Fluctuation Analysis (DFA): A statistical technique for quantifying long-range correlations in time-series data by removing trends.
Sample Entropy: A measure of signal irregularity, indicating unpredictability in successive data points.
Multifractal Analysis: An extension of fluctuation analysis that characterises the presence of multiple scaling exponents in complex signals.
Peak Expiratory Flow (PEF): The maximum flow rate achieved during a forced exhalation from full lung inflation.
Forced Expiratory Volume in one second (FEV1): The volume of air exhaled in the first second of a forced vital capacity manoeuvre.
References
- RespirAnalyzer: an R package for analyzing data from continuous monitoring of respiratory signals. Bioinformatics Advances (2024).
- Classification of Asthma Based on Nonlinear Analysis of Breathing Pattern. PLOS ONE (2016).
- Lung Function Variability in Children and Adolescents With and Without Asthma (LUV Study): Protocol for a Prospective, Nonrandomized, Clinical Trial. JMIR Research Protocols (2020).
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