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Project goal is to combine analysis of advanced diagnostic techniques such as electroencephalogram (EEG), Functional Magnetic Resonance Imaging (fMRI) analysis and other contextual factors for consciousness detection and possible patient outcome prediction.

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Sapphirine/202312-1-Outcome-Prediction-and-Consciousness-Detection-in-Patients-With-Acute-TBI

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Outcome Prediction and Consciousness Detection in Patients With Acute TBI

Human Brain

The goal is to combine analysis of advanced diagnostic techniques such as electroencephalogram (EEG), Functional Magnetic Resonance Imaging (fMRI) analysis, and other contextual factors for consciousness detection and possible patient outcome prediction.

Installation

Pre-requisites:

  • GPU VRAM >= 12GB
  • Python >= 3.11

Data

Data is stored in Google Drive under MRI-EEG-March2023. Once downloaded, place contents in the data folder.

Model Section

EEG-MRI SVM Model

matlab run_me.m

MRI Imaging Model

pip install -r requirements.txt

Run Python notebooks.

Synthetic Data

pip install -r requirements.txt

Generate synthetic MRI data for training:

python3 generate_synthetic_matlab_file.py <path_to_input_file.mat> <path_to_output_directory>

About

Project goal is to combine analysis of advanced diagnostic techniques such as electroencephalogram (EEG), Functional Magnetic Resonance Imaging (fMRI) analysis and other contextual factors for consciousness detection and possible patient outcome prediction.

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