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View Code? Open in Web Editor NEWWorking example of EEG-based functional brain age (FBA) predictions
Working example of EEG-based functional brain age (FBA) predictions
From Nathan.
Python Function (general form, Matlab will parallel)
Input: EDF file with EEG of the correct dimensions (number of channels to align with ONNX models, longer than 60s)
Age of Recording (to correct FBA)
Outputs: FBA – raw FBA
FBA_corrected – corrected so that FBA at 50th centile equals age
Centiles – from growth chart based on all our data
PAD (predicted age difference) – difference between raw FBA and age
The last two variables will come from Kartik’s stuff
ONNX list: 4 models will be used – input epochs are number of channel x 1920 samples
D1_18ch_model.onnx – trained on D1, 18 channel data,
D1_2ch_model.onnx – trained on D1, 2 channel data
D2_2ch_model.onnx – trained on D2, 2 channel data
D1D2_2ch_model.onnx – trained on combined dataset of D1 and D2, 2 channel data
Each of these files will need their own lookup tables from Kartik’s work.
Alternatives to consider in the future (order in decreasing order of code maturity and complexity):
EDF specfications:
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