PTB-XL ECG Dataset Superclass Disease Category Counts

Chang Qu provides a summary count of records for five superclass disease categories within the PTB-XL electrocardiogram dataset. The data is a single 5.5 KB Excel file, uploaded to figshare in April 2026. It enumerates how many ECG records are assigned to each broad diagnostic category.

Use Cases

• Analyze class distribution imbalance across the five superclass categories for sampling strategy design.
• Validate label consistency in the PTB-XL dataset by comparing category counts to other published summaries.
• Plan multi-class classification experiments by understanding the relative size of each superclass disease group.

Strengths

• Provides a clear summary of the PTB-XL dataset's high-level label structure with five superclass categories.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Contains only summary counts, not the underlying ECG waveform data or patient records.
• At 5.5 KB, it is a very small metadata file with limited analytical scope on its own.
• The exact row counts for each category are not specified in the provided input.

Provenance

Source

Derived from the PTB-XL electrocardiogram dataset.

Collection Method

Aggregated count of records by superclass category.

Time Range

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Freshness

Last updated in April 2026.

Geography

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