
The cardiac muscle activation or driver function, is a major determinant of cardiovascular dynamics, and is often approximated by the ratio of the left ventricle pressure to the left ventricle volume. In an intensive care unit, the left ventricle pressure is usually never measured, and the left ventricle volume is only measured occasionally by echocardiography, so is not available real-time. This paper develops a method for identifying the driver function based on correlates with geometrical features in the aortic pressure waveform. The method is included in an overall cardiovascular modelling approach, and is clinically validated on a porcine model of pulmonary embolism. For validation a comparison is done between the optimized parameters for a baseline model, which uses the direct measurements of the left ventricle pressure and volume, and the optimized parameters from the approximated driver function. The parameters do not significantly change between the two approaches thus showing that the patient specific approach to identifying the driver function is valid, and has potential clinically.
Patient Identification Systems, Pulmonary embolism, Cardiovascular system model, Models, Theoretical, Systèmes cardiovasculaire & respiratoire, Sciences de la santé humaine, Field of Research::09 - Engineering::0903 - Biomedical Engineering, Cardiovascular & respiratory systems, Field of Research::11 - Medical and Health Sciences::1102 - Cardiovascular Medicine and Haematology, Humans, Cardiac driver function, Intensive care unit, Nursing Care, Human health sciences, Porcine model
Patient Identification Systems, Pulmonary embolism, Cardiovascular system model, Models, Theoretical, Systèmes cardiovasculaire & respiratoire, Sciences de la santé humaine, Field of Research::09 - Engineering::0903 - Biomedical Engineering, Cardiovascular & respiratory systems, Field of Research::11 - Medical and Health Sciences::1102 - Cardiovascular Medicine and Haematology, Humans, Cardiac driver function, Intensive care unit, Nursing Care, Human health sciences, Porcine model
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
