Comments (3)
In the training why did you choose that it be be for each patient apart I mean why didn't you collect the spectrograms for all patients and use it as input for CNN.
Because each patient has his characteristic so it's necessary a specific model for each patient.
How could I know the number of the training data used?
I'm not understanding the question, could you explain it better?
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I mean the number of training samples(X-train) used as inputs to the CNN model. If I want to load these samples as well as Y-train how can I do that?
Thank You!
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I mean the number of training samples(X-train) used as inputs to the CNN model
I don't know the actual number of training samples but it's possible to recover them from the following table.
For example patient 1 has 14.49 hours of interictal data. Each sample contain 30 seconds of data so 14.49 hours = 53340 seconds / 30seconds=1778 samples for interictal data. The preictal are almost the same number so in total for patient 1 almost 3500 sampled where used.
The training set was 75% of the total set of samples so I used almost 2625 samples for training.
If I want to load these samples as well as Y-train how can I do that?
You have to create the spectograms, here more information are provided.
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Related Issues (14)
- chb - mit ANNOTATION FILE HOT 5
- nan HOT 1
- threhold HOT 6
- Creation of the CNN and evaluation of the model on the spectograms - python CNN.py HOT 4
- How long does it takes to train an epoch? HOT 4
- FileNotFoundError: [Errno 2] No such file or directory: '' HOT 5
- why signalsBlock.shape[0] == 50 save HOT 6
- Question about start time of preictal interval HOT 1
- What is the meaning of S variable? HOT 2
- threshold HOT 2
- What does the "real preictal" mean? HOT 1
- notused HOT 1
- About generating spectrogram shapes HOT 1
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