stanford-stages/sleep-staging

Description

This repository represents the sleep staging classification work done using neural networks at Stanford University, and is intended primarily for research and historical reference.

Those interested in using the sleep staging classification methods that were developed from this should use the primary, Stanford-STAGES repository.

Branches

Git provides support for multiple branches of development. Notable branches for this repository include:

1. Master (default)

   The master branch.

2. Historical

   The historical branch contains some of the initial sleep staging classification work down using neural networks at Stanford University, and is intended primarily for research and historical reference.

3. Dev

   The dev branch is the development branch for updating and testing changes to the master branch and is not always stable.

   NOTE: Only Python 3.6 and later is supported. Previous versions of Python have been shown to yield erroneous results.

Instructions

sc_train.py is run by adding an option with the following format:

Example:

python sc_train.py --model ac_lh_ls_lstm

The ac specifies the CC model configuration, the lh specifies the complexity - high in this case, the ls specifies the window length - 15 seconds in this case, and lstm specifies that the model has memory.

To train a model, the sc_config.py should be changed to match the destination for training files, and similarly, to test a model (which has the same option as training) the destination for testing files should be changed.

sleep-staging's Issues

data preprocessing and features extraction

Hello,

Thank you for sharing your code, I look forward playing with it !

Yet I would like to know: do you plan to release the code to preprocess the data and to extract the features you feed the neural nets with ? You have described a very interesting pipeline in your paper and I would like to investigate it in details.

Thank you in advance.

can't find environment.yaml

Dear all,
I'm trying to play with your code but I can't find the environment.yaml file you mentioned in the first paragraph of your readme (dev branch).
Could you please indicate me where to find it?
BR,
Marco
[email protected]