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Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.

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Support Vector Machines for Real-Time Seizure Prediction using Neural Data


Usage

  1. Download the CHB-MIT database from https://physionet.org/content/chbmit/1.0.0/ using the command: wget -r -N -c -np https://physionet.org/files/chbmit/1.0.0/

  2. Hook data_gen_train_test.py with train_test_data.xlsx. We have already populated the Excel file with relevant information.

  3. Uncomment the appropriate command in analyst.sh and save it. Then execute it from terminal. You may need to give execute permissions to this script with chmod.

  4. The program analyst.py contains the core algorithms. It has two main methods, teach and think. You should look at the example commands in analyst.sh for guidance on how to invoke these methods.

Notes: We recommend using the Anaconda package manager to install all relevant dependencies required by analyst.py.

P.S. Additional notebooks used for experiment during the development of this project has been open sourced and is available on GitHub through the following link

Thank you for your interest in this project.

Best wishes, Sameen 02.09.2021 04:25 BST

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