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This repository contains the design, training, prameter tuning and evaluation of the CNN-based model for RBD detection. All the preprocessing steps to prepare the data are also included.

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Author: Khrystyna Semkiv

Title: Fully Automated Rapid Eye Movement Sleep Behavioral Disorder Detection with Minimal Number of Channels for Real World Settings

University: Ulm University (Ulm, Germany)

Institute: Biomedical Engineering Institute

Supervisor: Walter Karlen

For more details, please get in touch with me at: [email protected]



PreProcessing folder contains the files with the code that extracts the data, preprocess data, and prepares them to train and evaluate the model.

Model folder contains the files with the code used to design, compile, train, and test the model.

PostProecssing folder contains the files with the code used to convert per-epoch predictions into per-night predictions and analyze per-epoch predictions of the HC class.



!! Currently working on publications.

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This repository contains the design, training, prameter tuning and evaluation of the CNN-based model for RBD detection. All the preprocessing steps to prepare the data are also included.

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