SynthesisEuropean respiratory review : an official journal of the European Respiratory Society2025
Physiological signal entropy in patients with chronic respiratory disease: a systematic review.
Synthesis in European respiratory review : an official journal of the European Respiratory Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Multiscale Entropy Reveals Reduced Airflow Complexity in Chronic Obstructive Pulmonary Disease: Associations with Spirometry and Diagnostic Utility.Annals of biomedical engineering · 2026Article
- Decrypting network physiology for clinical practice.Frontiers in network physiology · 2026Review
- Improved Precision of COPD Exacerbation Detection in Night-Time Cough Monitoring.Journal of personalized medicine · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
backgroundChronic respiratory diseases (CRDs) such as COPD and asthma have a substantial impact on patients and healthcare systems. Recent research on diagnosing and monitoring CRDs highlights the potential of continuous measurement of physiological parameters using nonlinear measures such as entropy analysis. Entropy measures the irregularity and complexity of physiological signals, reflecting the engagement of physiological control mechanisms. This systematic review examines the current evidence on changes in the entropy of physiological signals in CRDs.
methodsThe review follows Preferred Reporting in Systematic Reviews and Meta-Analyses (PRISMA) guidelines and includes studies from databases such as Scopus, Medline, CINAHL and Embase. Quality assessment was conducted using the Newcastle-Ottawa Scale. Evidence was qualitatively synthesised, taking into account entropy signals, entropy type and results.
results11 studies met the inclusion criteria. Entropy in signals including heart rate variability (HRV), airflow, peripheral oxygen saturation (
conclusionThe review highlights the potential of entropy analysis of physiological signals for early detection of COPD exacerbations and for differentiating between various levels of disease severity in both COPD and asthma. Additionally, it identifies research gaps, particularly in relation to other CRDs such as bronchiectasis and interstitial lung diseases. Further research is needed to facilitate the development of this approach into a fully effective tool for clinical practice.
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