Quantification of breathing pattern variability on simulated and clinical data

S. Thibault, M. Wysocki, T. Similowski, P. Baconnier (Grenoble, France)

Source: Annual Congress 2002 - Monitoring respiratory parameters in critically ill patients
Session: Monitoring respiratory parameters in critically ill patients
Session type: Thematic Poster Session
Number: 622
Disease area: Respiratory critical care

Congress or journal article abstract

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
S. Thibault, M. Wysocki, T. Similowski, P. Baconnier (Grenoble, France). Quantification of breathing pattern variability on simulated and clinical data. Eur Respir J 2002; 20: Suppl. 38, 622

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.


Related content which might interest you:
Prediction modeling and temporal validation of sleep disordered breathing from large community samples
Source: Annual Congress 2012 - Diagnostics in OSA: from polygraphy to genetics and cancer
Year: 2012


Quantified breathing patterns can be used as a physiological marker to monitor asthma
Source: International Congress 2019 – Clinical implications of asthma management
Year: 2019

Multiscale entropy analysis of RR time series obtained from polysomnographic recordings in wide age spectrum group
Source: Annual Congress 2012 - Physiology, obesity and the downstream effects of OSA
Year: 2012


Comparison of two different CPAP-systems by tidal breathing parameters
Source: Eur Respir J 2001; 18: Suppl. 33, 456s
Year: 2001

Diurnal variation and serial changes of peak expiratory flow in adult patients with cough variant asthma
Source: Eur Respir J 2004; 24: Suppl. 48, 588s
Year: 2004

The effect of breathing frequency on forced oscillation mechanics in normal subjects: a pilot study
Source: Annual Congress 2008 - Assessment of the respiratory system
Year: 2008


Measurement duration impacts variability but not impedance measured by the forced oscillation technique in healthy, asthma and COPD subjects
Source: ERJ Open Res 2016: 00094-2015
Year: 2016



Breathing pattern and respiratory muscle performance as determinants of weaning success in patients failed a previous trial of spontaneous breathing
Source: Eur Respir J 2004; 24: Suppl. 48, 313s
Year: 2004

Influence of trigger variable on inspiratory effort and breathing pattern in patients with increased resistive load
Source: Eur Respir J 2004; 24: Suppl. 48, 676s
Year: 2004

Analysis of breathing and heart rate variability during sleep in healthy subjects
Source: Eur Respir J 2002; 20: Suppl. 38, 408s
Year: 2002

Sample entropy as a metric to quantify periodic breathing during high altitude climbing
Source: Eur Respir J 2006; 28: Suppl. 50, 195s
Year: 2006

Comparison of measuring systems used to evaluate input respiratory impedance by forced oscillation technique - pilot study
Source: Eur Respir J 2002; 20: Suppl. 38, 32s
Year: 2002

Respiratory pattern analysis on the ventilatory response to incremental dead space loading
Source: Annual Congress 2008 - Assessment of the respiratory system
Year: 2008

Spectral analysis and detrended fluctuation analysis on heart rate variability recognises sleep stages and sleep apnea
Source: Eur Respir J 2003; 22: Suppl. 45, 272s
Year: 2003

Kinetics of ventilatory response to high intensity sinusoidal work rate fluctuation in severe COPD: The role of cycle period
Source: Annual Congress 2010 - Thoracic dynamics and dyspnoea on exercise
Year: 2010


Validation of the assessment of flow limitation at rest by overlapping of the tidal and maximal flow volume curves
Source: Annual Congress 2009 - Quality control in lung function and new developments
Year: 2009


Regional expiratory flow limitation during spontaneous breathing: comparison of overall and regional lung function
Source: Eur Respir J 2001; 18: Suppl. 33, 94s
Year: 2001

Data reduction for large scale cough studies using distribution of audio frequency content
Source: Annual Congress 2011 - Update on monitoring airway diseases
Year: 2011


The influence of inhalation flow and aerosol size on deposition: modelled vs. clinical data
Source: Virtual Congress 2020 – Asthma inhalers: devices and adherence studies
Year: 2020


Changes of heart rate variability in different types of breathing in patients with bronchial asthma (BA)
Source: Eur Respir J 2001; 18: Suppl. 33, 34s
Year: 2001