EEG Database of Seizure Disorders for Experts and Application Developers.

Area of Science:

• Neuroscience
• Medical Informatics

Background:

• Electroencephalogram (EEG) data is crucial for diagnosing neurological disorders.
• Access to comprehensive EEG databases with abnormal patterns is limited.
• Standardized digital EEG data is essential for developing automated diagnostic tools.

Purpose of the Study:

• To present a novel, online-accessible EEG database.
• To curate EEG recordings with diverse abnormal patterns (spikes, slow waves, etc.).
• To facilitate research in neurological disorder diagnosis and treatment software development.

Main Methods:

• Collected and digitized EEG recordings from a diagnostic center.
• Categorized data by disorder classification, patient records, digitized EEG, and diagnosis.
• Implemented a search facility for efficient data retrieval.
• Included data from a wide age range (1-107 years).

Main Results:

• Established an online accessible EEG database.
• Database includes EEG recordings with various abnormal patterns.
• Data is organized for easy access and analysis.
• Search functionality enhances user experience.

Conclusions:

• The developed EEG database serves as a valuable resource for researchers, application developers, and clinicians.
• This database will aid in advancing clinical neuroscience and developing diagnostic/treatment software.
• Future inclusion of data from other institutions and disorders will expand its utility.