Correlation of EEG and End-Tidal CO2 in a Porcine Cardiac Arrest Model

A research dataset correlating an EEG-based brain resuscitation index with end-tidal carbon dioxide levels. The data was created by Dongsun Choi and is associated with an open-access paper on Papers with Code. The dataset likely contains physiological measurements from a controlled porcine model of cardiac arrest.

Use Cases

• Validate the EEG-based brain resuscitation index as a biomarker based on correlation with end-tidal CO2.
• Model the relationship between cerebral activity and systemic perfusion metrics during cardiac arrest.
• Train machine learning models for outcome prediction based on features mentioned in the description.

Strengths

• Data originates from a controlled experimental model, which may reduce confounding variables.
• The dataset is associated with a peer-reviewed, open-access research paper.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Papers with Code, author Dongsun Choi

Collection Method

Likely collected from a controlled laboratory experiment using a porcine cardiac arrest model.