Deep learning to predict blood pressure (systolic and diastolic) from ECG (QRS) and pulse oximeter signals.
The samples were taken every 125 Mhz. The two input and output signals have a duration of 10 seconds.
Several architectures were built (e.g. NN, 1CNN, RNN (LSTM and GRU), as well as autoencoders) to address this problem.