This repository contains my work which involves the use of Shallow machine learning models to predict the depth of anaesthesia of patients undergoing surgery. The project involves several phases including
- Data collection
- Data preprocessing
- Feature Extraction
- Feature Selection
- Model Building
- Model Evaluation
Check each branch to see how I incrementally modelled the EEG data using a Support Vector Machine.