ArticlePloS one2016
Classification of Asthma Based on Nonlinear Analysis of Breathing Pattern.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Physiological signal entropy in patients with chronic respiratory disease: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- A systematic review and meta-analysis of heart rate variability in COPD.Frontiers in cardiovascular medicine · 2023Pooled it
- Multiscale Entropy Reveals Reduced Airflow Complexity in Chronic Obstructive Pulmonary Disease: Associations with Spirometry and Diagnostic Utility.Annals of biomedical engineering · 2026Article
- Association of Interictal Respiratory Variability and Severity of Postictal Hypoxemia After Generalized Convulsive Seizures.Neurology · 2026Article
- Wearable Device-Based Respiratory Complexity Analysis for Detecting Pulmonary Congestion in Patients With Heart Failure: Observational Exploratory Study.Journal of medical Internet research · 2025Observational
- Leveraging intrinsic non-sinusoidal patterns to infer search behavior to predict exposure to respiratory stressors.American journal of physiology. Lung cellular and molecular physiology · 2025Article
- [Exploratory study on quantitative analysis of nocturnal breathing patterns in patients with acute heart failure based on wearable devices].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Interictal respiratory variability predicts severity of hypoxemia after generalized convulsive seizures.Epilepsia · 2023Article
- The use of time-of-flight camera to assess respiratory rates and thoracoabdominal depths in patients with chronic respiratory disease.The clinical respiratory journal · 2023Article
- Temporal variations in the pattern of breathing: techniques, sources, and applications to translational sciences.The journal of physiological sciences : JPS · 2022Review
- Effects of Cardiac Resynchronization Therapy on Cardio-Respiratory Coupling.Entropy (Basel, Switzerland) · 2021Article
- Changes in quantifiable breathing pattern components predict asthma control: an observational cross-sectional study.Asthma research and practice · 2021Article
- Derivation of Respiratory Metrics in Health and Asthma.Sensors (Basel, Switzerland) · 2020Article
- Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology.JMIR mHealth and uHealth · 2020Article
- Allergen-induced anxiety-like behavior is associated with disruption of medial prefrontal cortex - amygdala circuit.Scientific reports · 2019Article
- Airway obstruction is associated with reduced variability in specific parts of the tidal breathing flow-volume curve in young children.ERJ open research · 2019Article
- Entropy Analysis for the Evaluation of Respiratory Changes Due to Asbestos Exposure and Associated Smoking.Entropy (Basel, Switzerland) · 2019Article
- Distraction of olfactory bulb-medial prefrontal cortex circuit may induce anxiety-like behavior in allergic rhinitis.PloS one · 2019Article
- The Application of the Extended Poincaré Plot in the Analysis of Physiological Variabilities.Frontiers in physiology · 2019Article
- Omalizumab improves forced expiratory volume in 1 second in patients with severe asthma.Postepy dermatologii i alergologii · 2018Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Normal human breathing exhibits complex variability in both respiratory rhythm and volume. Analyzing such nonlinear fluctuations may provide clinically relevant information in patients with complex illnesses such as asthma. We compared the cycle-by-cycle fluctuations of inter-breath interval (IBI) and lung volume (LV) among healthy volunteers and patients with various types of asthma. Continuous respiratory datasets were collected from forty age-matched men including 10 healthy volunteers, 10 patients with controlled atopic asthma, 10 patients with uncontrolled atopic asthma, and 10 patients with uncontrolled non-atopic asthma during 60 min spontaneous breathing. Complexity of breathing pattern was quantified by calculating detrended fluctuation analysis, largest Lyapunov exponents, sample entropy, and cross-sample entropy. The IBI as well as LV fluctuations showed decreased long-range correlation, increased regularity and reduced sensitivity to initial conditions in patients with asthma, particularly in uncontrolled state. Our results also showed a strong synchronization between the IBI and LV in patients with uncontrolled asthma. Receiver operating characteristic (ROC) curve analysis showed that nonlinear analysis of breathing pattern has a diagnostic value in asthma and can be used in differentiating uncontrolled from controlled and non-atopic from atopic asthma. We suggest that complexity analysis of breathing dynamics may represent a novel physiologic marker to facilitate diagnosis and management of patients with asthma. However, future studies are needed to increase the validity of the study and to improve these novel methods for better patient management.
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