Using rnn plus 1D cnn hybrid models

I have ppg profiles of 1200 persons and their respective blood glucose levels. I have to use lstm plus 1D cnn and combine their feature vector to be fed to regression neural network for predicting blood glucose level.
Suggest me how can I use fastai code to do this. Or suggest some kaggle notebook for the same which uses fastai. Or suggest fastai codes/notebooks using independently 1D cnn and lstm networks