EEG Data Visualization
EEG Data Diagnostics
Interactions: Scroll to navigate timeline, Ctrl+scroll to zoom amplitude, drag to pan, double-click to reset vertical zoom
EDF File Information
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Seizure Annotations
| Seizure # | Start Time (s) | End Time (s) | Duration (s) |
|---|---|---|---|
| Loading seizure data... | |||
About the Database
The CHB-MIT Scalp EEG Database represents a comprehensive collection of electroencephalogram (EEG) recordings gathered at Boston Children's Hospital from pediatric patients with drug-resistant epilepsy. These recordings were collected during clinical monitoring after the temporary withdrawal of anti-seizure medications, allowing medical teams to characterize seizure patterns and evaluate potential surgical candidates.
The database comprises recordings from 22 unique subjects (5 males aged 3-22 years and 17 females aged 1.5-19 years), organized into 23 distinct cases. One female subject appears in two cases (chb01 and chb21), with recordings taken approximately 1.5 years apart. Detailed demographic information for each subject is available in the SUBJECT-INFO file.
Technical Specifications
- Each recording was sampled at 256 Hz with 16-bit resolution
- Most recordings include 23 EEG channels (with some containing 24-26 channels)
- Electrode placement follows the International 10-20 system
- Files typically contain one hour of continuous recording (with some exceptions of 2-4 hours)
- The complete dataset includes 664 EDF files, with 129 files containing 198 annotated seizures
- Each seizure is precisely marked with onset and termination times
To protect patient privacy, all personal health information has been removed and replaced with surrogate data. While dates have been modified, the temporal relationships between files within each case have been preserved.
Research Applications
This dataset has been instrumental in developing machine learning algorithms for automated seizure detection. Notable research using this database includes patient-specific seizure onset detection systems and various epilepsy monitoring applications.
Acknowledgements
This database was created through collaboration between Children's Hospital Boston and Massachusetts Institute of Technology. Clinical investigators include Jack Connolly (REEGT), Herman Edwards (REEGT), Dr. Blaise Bourgeois, and Dr. S. Ted Treves. The MIT team includes Dr. Ali Shoeb and Professor John Guttag.
About This Web Application
This interactive web application provides a simplified interface to explore the CHB-MIT Scalp EEG Seizure Database. It allows users to:
- Visualize EEG Data: Browse sample EEG recordings with an interactive canvas that supports zooming and panning.
- Identify Seizures: View detailed information about seizure events within each recording, including start times, end times, and durations.
- Explore Metadata: Access file information and technical details about the selected recordings.
The application features responsive design to work on various devices and screen sizes. It uses modern web technologies including:
- HTML5 Canvas for data visualization
- Client-side EDF file parsing
- Dynamic data loading with caching for improved performance
- Touch and mouse interactions for accessibility across different devices
This demonstration version includes a small subset of the complete CHB-MIT dataset. For comprehensive research access to the full database, please visit the official PhysioNet repository.