95% CI: 95% confidence interval; BMI: body mass index; FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; SD: standard deviation; μ: mean value
Declarations
Acknowledgments
The author thanks the funders for their financial support of this study which was part of a series of clinical studies conducted for the completion of the author’s doctoral degree. The author also thanks his supervision team (Prof. Anne Bruton and Prof. Anna Barney) during the conduction of the current study, who provided meticulous guidance for the design of the current study and the advice about the interpretation of the results of the current study. Finally, the author thanks Prof. Anna Barney for providing the written MATLAB algorithm used for data extraction in the present study.
The author declares that he has no conflicts of interest.
Ethical approval
The study was peer-reviewed and ethically approved by the Research Committee of the School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton (ethic number: 18396). This study complies with the 2024 Declaration of Helsinki.
Consent to participate
All participants provided a written consent form prior to their participation in the study.
Consent to publication
Patients’ anonymous data were agreed to be published to maintain anonymity and protect individuals’ health data.
Availability of data and materials
The datasets used and analyzed during the current study are available from the corresponding author (1st author of this manuscript) on reasonable request at psakkatos@mitropolitiko.edu.gr.
Funding
The current study was funded by the British Lung Foundation and the Wessex Medical Trust [15501/01]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.
References
Krohn F, Novello M, van der Giessen RS, De Zeeuw CI, Pel JJM, Bosman LWJ. The integrated brain network that controls respiration.Elife. 2023;12:e83654. [DOI] [PubMed] [PMC]
Boulding R, Stacey R, Niven R, Fowler SJ. Dysfunctional breathing: a review of the literature and proposal for classification.Eur Respir Rev. 2016;25:287–94. [DOI] [PubMed] [PMC]
Sakkatos P, Bruton A, Barney A. Changes in quantifiable breathing pattern components predict asthma control: an observational cross-sectional study.Asthma Res Pract. 2021;7:5. [DOI] [PubMed] [PMC]
Fiamma MN, Samara Z, Baconnier P, Similowski T, Straus C. Respiratory inductive plethysmography to assess respiratory variability and complexity in humans.Respir Physiol Neurobiol. 2007;156:234–9. [DOI] [PubMed]
Massaroni C, Carraro E, Vianello A, Miccinilli S, Morrone M, Levai IK, et al. Optoelectronic Plethysmography in Clinical Practice and Research: A Review.Respiration. 2017;93:339–54. [DOI] [PubMed]
Houssein A, Ge D, Gastinger S, Dumond R, Prioux J. Estimation of respiratory variables from thoracoabdominal breathing distance: a review of different techniques and calibration methods.Physiol Meas. 2019;40:03TR01. [DOI] [PubMed]
Levai IK, Sidoroff V, Iles R. An introduction to the non-invasive noncontact assessment of respiratory function.Respir Ther. 2012;7:42–4.
Motamedi-Fakhr S, Iles R, Barney A, de Boer W, Conlon J, Khalid A, et al. Evaluation of the agreement of tidal breathing parameters measured simultaneously using pneumotachography and structured light plethysmography.Physiol Rep. 2017;5:e13124. [DOI] [PubMed] [PMC]
Niérat MC, Dubé BP, Llontop C, Bellocq A, Layachi Ben Mohamed L, Rivals I, et al. Measuring Ventilatory Activity with Structured Light Plethysmography (SLP) Reduces Instrumental Observer Effect and Preserves Tidal Breathing Variability in Healthy and COPD.Front Physiol. 2017;8:316. [DOI] [PubMed] [PMC]
Alhuthail E, Stockley J, Coney A, Cooper B. Measurement of breathing in patients with post-COVID-19 using structured light plethysmography (SLP).BMJ Open Respir Res. 2021;8:e001070. [DOI] [PubMed] [PMC]
Motamedi-Fakhr S, Wilson RC, Iles R. Tidal breathing patterns derived from structured light plethysmography in COPD patients compared with healthy subjects.Med Devices (Auckl). 2016;10:1–9. [DOI] [PubMed] [PMC]
Fleck D, Curry C, Donnan K, Logue O, Graham K, Jackson K, et al. Investigating the clinical use of structured light plethysmography to assess lung function in children with neuromuscular disorders.PLoS One. 2019;14:e0221207. [DOI] [PubMed] [PMC]
Elshafie G, Kumar P, Motamedi-Fakhr S, Iles R, Wilson RC, Naidu B. Measuring changes in chest wall motion after lung resection using structured light plethysmography: a feasibility study.Interact Cardiovasc Thorac Surg. 2016;23:544–7. [DOI] [PubMed]
Lauhkonen E, Cooper BG, Iles R. Mini review shows that structured light plethysmography provides a non-contact method for evaluating breathing patterns in children.Acta Paediatr. 2019;108:1398–405. [DOI] [PubMed]
Hmeidi H, Motamedi-Fakhr S, Chadwick E, Gilchrist FJ, Lenney W, Iles R, et al. Tidal breathing parameters measured using structured light plethysmography in healthy children and those with asthma before and after bronchodilator.Physiol Rep. 2017;5:e13168. [DOI] [PubMed] [PMC]
Clarenbach CF, Senn O, Brack T, Kohler M, Bloch KE. Monitoring of ventilation during exercise by a portable respiratory inductive plethysmograph.Chest. 2005;128:1282–90. [DOI] [PubMed]
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, et al. Standardisation of spirometry.Eur Respir J. 2005;26:319–38. [DOI] [PubMed]
American Thoracic Society; American College of Chest Physicians. ATS/ACCP Statement on cardiopulmonary exercise testing.Am J Respir Crit Care Med. 2003;167:211–77. [DOI] [PubMed]
Romei M, Mauro AL, D’Angelo MG, Turconi AC, Bresolin N, Pedotti A, et al. Effects of gender and posture on thoraco-abdominal kinematics during quiet breathing in healthy adults.Respir Physiol Neurobiol. 2010;172:184–91. [DOI] [PubMed]
Sakkatos P. Recording and analysis of breathing patterns: a physiological marker in asthma management [dissertation]. Southampton (UK): University of Southampton; 2019.
Hollier CA, Harmer AR, Maxwell LJ, Menadue C, Willson GN, Black DA, et al. Validation of respiratory inductive plethysmography (LifeShirt) in obesity hypoventilation syndrome.Respir Physiol Neurobiol. 2014;194:15–22. [DOI] [PubMed]
De Boer W, Lasenby J, Cameron J, Wareham R, Ahmad S, Roach C, et al. SLP: a zero-contact non-invasive method for pulmonary function testing.BMVC Press. 2010:1–12. [DOI]
Tehrany R, DeVos R, MCSP, Bruton A. Breathing pattern recordings using respiratory inductive plethysmography, before and after a physiotherapy breathing retraining program for asthma: A case report.Physiother Theory Pract. 2018;34:329–35. [DOI] [PubMed]
Wilcox RR. New methods for comparing groups: strategies for increasing the probability of detecting true differences.Curr Dir Psychol Sci. 2005;14:272–5. [DOI]
Krouwer JS. Why Bland-Altman plots should use X, not (Y+X)/2 when X is a reference method.Stat Med. 2008;27:778–80. [DOI] [PubMed]
Smith I, Mackay J, Fahrid N, Krucheck D. Respiratory rate measurement: a comparison of methods.Br J Healthc Assist. 2011;5:125–31. [DOI]
De Troyer A, Boriek AM. Mechanics of the respiratory muscles.Compr Physiol. 2011;1:1273–300. [DOI] [PubMed]
Motamedi-Fakhr S, Iles R, Barker N, Alexander J, Cooper BG. Reference equations for tidal breathing parameters using structured light plethysmography.ERJ Open Res. 2021;7:00050-2021. [DOI] [PubMed] [PMC]
