EEG Data For ADHD Analysis, 1391 Subjects

1391 subjects' EEG data labeled for ADHD and non-ADHD classification. The data originates from Kaggle, but the author, organization, and collection methodology are unspecified. The dataset's last update date is unknown.

Use Cases

• Binary classification of ADHD vs. non-ADHD subjects based on EEG recordings.
• Time-series analysis of brain signal patterns associated with ADHD.
• Feature engineering for neurophysiological biomarkers from 19-channel EEG data.

Strengths

• Contains data from 1391 subjects, which is a substantial sample size for analysis.
• Includes binary diagnostic labels (ADHD and NON_ADHD) for supervised learning tasks.

Limitations

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

Provenance

Source

Kaggle