Harvard EEG Database from Four Affiliated Hospitals

The Harvard Electroencephalography Database contains EEG data gathered from four hospitals affiliated with Harvard University: Massachusetts General Hospital, Brigham and Women's Hospital, Beth Israel Deaconess Medical Center, and Boston Children's Hospital. It is hosted on AWS Open Data and managed by the Brain Data Science Platform. The dataset's specific size, row count, and last update date are unknown.

Use Cases

• Develop seizure detection algorithms based on EEG signal patterns.
• Train models for brain state classification based on neurophysiological recordings.
• Research neurological disorders using clinical EEG data from multiple hospitals.
• Benchmark signal processing techniques for time-series biomedical data.

Strengths

• Data sourced from four major Harvard-affiliated hospitals, suggesting clinical relevance.
• Platform tags indicate applicability for machine learning in life sciences and neuroscience.

Limitations

• Row count, size, and last update date are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and institutional bias inherent to its specific hospital sources.

Provenance

Source

Brain Data Science Platform, data from four Harvard-affiliated hospitals.

Collection Method

Gathered from hospital clinical sources; specific collection method unknown.

Time Range

null

Freshness

Last updated date is unknown; freshness unverified.

Geography

Boston, Massachusetts, USA (based on hospital locations).