Currently I'm working on a model of cardio-respiratory interactions. Given human experimental data, the model reproduces the average heart rate, the average respiratory phase duration (inspiration/expiration), and the Respiratory Sinus Arrhythmia (RSA). The most sophisticated part of the model is the respiratory central pattern generator (previously published). My current goal is to optimize the model so that it reproduces RSA for several individuals.
After I get it working with the current dataset-- which was measured while participants watched Disney's Fantasia-- the next step is to fit the model to real clinical data from septic ER patients. The end goal is for our collaborators to use our model as a basis for a machine learning algorithm that predicts the risk and most likely cause of death for septic patients.
Below are some pretty pictures generated by the model.
