Automatic detection of exercise oscillatory ventilation (EOV) in cardiopulmonary exercise testing (CPET): developing an accurate, practical and clinical applicable graphical user interface (GUI).

Exercise oscillatory ventilation (EOV) is a strong prognostic parameter indicating early mortality. Before, this abnormal breathing pattern is often unrecognized because it is assessed subjectively by visual inspection or manually computed. The goal of this proof-of-concept, is to obtain automated detection of EOV and to create a clinical applicable interface. This interface could be integrated in existing cardiopulmonary exercise test software worldwide.

Keywords:HEART FAILURE, GRAPHICAL INTERFACES, WAVELETS

Disciplines:Laboratory medicine, Palliative care and end-of-life care, Physiology, Regenerative medicine, Other basic sciences, Other clinical sciences, Other health sciences, Nursing, Other paramedical sciences, Other translational sciences, Other medical and health sciences