I have time series heart rate data of patients that are sick or healthy. At each point in time is a measurement of their heart pumping ability so it is univariate. I want to try the CNN approach on this: Image this time series and then train ResNet to classify sick or healthy.
How would I go about imaging this time series? I have tried time series AI and it worked but I was only getting ~72% validation accuracy. I was wondering if there any other state of the art imaging techniques? Also, if you have any ideas on how to get state of the art results, that would be appreciated.