Algorithm for interpretation of standardized exercise tests in children Source: Eur Respir J 2002; 20: Suppl. 38, 225s Year: 2002
Workstation 2 – Spirometry: performing the test, safety measures, selecting the best values and simulating errors Source: International Congress 2014 – EW8 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
Workstation 2 – Spirometry: performing the test, safety measures, selecting the best values and simulating errors Source: International Congress 2014 – EW9 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
Optimisation and validation of an algorithm for the interpretation of cardio-pulmonary exercise testing Source: Eur Respir J 2002; 20: Suppl. 38, 291s Year: 2002
Workstation 2 - Spirometry: performing the test, safety measures, selecting the best values and simulating errors Source: International Congress 2014 – EW7 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
How is it done? Equipment, methods and normal values for paediatric exercise testing Source: Annual Congress 2006 - PG17 - Exercise testing in children Year: 2006
Workstation 3 - Spirometry - how to perform a spirometic test, implementing safety measures, selecting the best values and simulating errors Source: Annual Congress 2013 –Educational skills workshop 7: Spirometry knowledge and basic skills (European spirometry training programme) Year: 2013
The best statistical approaches for analysis of GWIS Source: ERS Research Seminar 2015 Year: 2015
Results and interpretation of field exercise tests Source: Annual Congress 2008 - The use of field exercise tests in clinical services Year: 2008
Workstation 3 - Spirometry - how to perform a spirometic test, implement safety measures and select the best values Source: Annual Congress 2013 –Educational skills workshop 8: Spirometry knowledge and basic skills (European spirometry training programme) Year: 2013
Workstation 1: Exercise training: linear vs non-linear training Source: International Congress 2016 – SW11 The new frontiers in exercise training in chronic obstructive pulmonary disease patients: technical aspects Year: 2016
Workstation 1: Exercise training: linear vs non-linear training Source: International Congress 2016 – SW13 The new frontiers in exercise training in chronic obstructive pulmonary disease patients: technical aspects Year: 2016
Workstation 1: Exercise training: linear vs non-linear training Source: International Congress 2016 – SW15 The new frontiers in exercise training in chronic obstructive pulmonary disease patients: technical aspects Year: 2016
Application of machine learning algorithms to predict loss of asthma control: A post-hoc analysis of INCONTRO study Source: Virtual Congress 2020 – Clinical characteristics and diagnostic tools for phenotyping asthma and COPD Year: 2020
Cardiopulmonary exercise testing: protocol and measurements Source: Annual Congress 2005 - PG4 - Respiratory physiology: exercise in clinical practice Year: 2005
Optimising measurement and design Source: Annual Congress 2007 - PG12 - Cardiopulmonary exercise testing and interpretation Year: 2007
Finding the best fitting reference values of VO2max in cardiopulmonary exercise testing Source: Virtual Congress 2020 – From respiratory physiology to clinical practice: exercise and respiratory muscles Year: 2020
Improvement of quality of spirometric measurements after analysis of errors detected by spirometric software Source: Annual Congress 2013 –Expiration, exhalation and exhaustion: measures of dynamic volumes, breath analysis and respiratory muscles Year: 2013