Improving Cardiopulmonary Exercising Test Accessibility Through ML & Visualization

The goal of this project is to find a better way of presenting data from an exercise tolerance test to enable the clinician to make more precise diagnoses and better understanding results of the test. The students will create a model for this test, showing the interaction between the three systems of interest in the exercise test (respiratory, cardiovascular, and skeletal muscle), most likely in the form of a composite vector for each system and then perhaps a total vector. The product will be a 3D display clearly indicating which system dominates the test that causes termination of the test. The stretch goal would be to develop an algorithm that would permit athletes to better understand what systems they need to work on to improve their performance and illustrate how what happens in one system impacts the other systems.