Cranfield Online Research Data (CORD)
Browse
OneDrive_1_18-09-2023.zip (120.47 MB)

Supporting code and data for 'Miscellaneous EEG Preprocessing and Machine Learning for Pilots' Mental States Classification: Implications'

Download (120.47 MB)
software
posted on 2023-09-18, 15:10 authored by Ibrahim Alreshidi, Irene MoulitsasIrene Moulitsas, Karl JenkinsKarl Jenkins

Data: 

This folder contains:

- A dataset called Pilot_5_CA_raw.fif, which contains the EEG data of a pilot when he was experiencing the channelised attention state in a non-flight environment.

- A dataset called Pilot_5_DA_raw.fif, which contains the EEG data of a pilot when he was experiencing the diverted attention state in a non-flight environment.

- A dataset called Pilot_5_SS_raw.fif, which contains the EEG data of a pilot when he was experiencing the startle/surprise state in a non-flight environment.

- A dataset called Pilot_5_LOFT_raw.fif, which contains the EEG data of a pilot when he was experiencing the channelised attention, diverted attention, and startle/surprise state in a flight simulator environment.

Source code:

This folder contains:

- A jupyter notebook called ICAAI_Conference.ipynb which was used to generate the results of the study.

- A python file called cf_matrix which was used to plot the confusion matrix

History

Authoriser (e.g. PI/supervisor)

i.moulitsas@cranfield.ac.uk

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC