סמינר המחלקה להנדסה ביו רפואית 19.05.19 - מפי דוקטורנטית המחלקה אפרת לאופולד
Prediction of the Wingate anaerobic mechanical power outputs from a incremental exercise stress tests based on a computational model
Efrat Leopold
The Wingate Anaerobic Test (WAnT) is a short-term maximal intensity cycle ergometer test, which provides anaerobic mechanical power output variables. Despite the physiological significance of the variables extracted from the WAnT, the test is very intense, and generally applies for athletes. Our goal was to develop a new automatic approach to predict the anaerobic mechanical power outputs using incremental exercise stress tests. We hypothesized that incremental exercise stress tests hold hidden information about the anaerobic components, which can be directly translated into mechanical power outputs. We therefore designed a computational model that included aerobic variables (features), and used a new computational \ predictive algorithm, which enabled the prediction of the anaerobic mechanical power outputs. Analysis of the predicted features suggest that the most relevant ones are maximal VO2 , respiratory frequency, as well as predicted VO2. The rational behind the chosen features can be explained, for example, subjects with higher VO2max are more likely to engages in regular aerobic exercise, and therefore the cardiovascular system adapts to that exercise. These adaptations then transfer into greater performance during high-intensity exercise. The newly predictive model allows the accurate prediction of the anaerobic mechanical power outputs at high accuracy. The assessment of additional tests is desired for the development of a robust application for athletes, older individuals, and/or non-healthy populations.
