MEETI: Multimodal ECG Signals, Images, and Interpretation Text

MEETI provides multimodal electrocardiogram data including raw signals, diagnostic images, and interpretation text for arrhythmia and myocardial ischemia research. Created by PKUDigitalHealth and updated in 2026, it bridges the gap between single-modality signal datasets and clinical diagnostic needs. While the exact record count is not specified, it is designed to support clinically deployable multimodal AI systems.

Use Cases

• Cross-modal retrieval between raw signals and interpretation text
• Automated clinical report generation using diagnostic images
• Multimodal classification of arrhythmias using signal and image fusion

Strengths

• Triple-modality integration of signals, images, and text
• CC BY 4.0 license
• Clinical focus on arrhythmia and myocardial ischemia

Limitations

• Unknown total record count and signal sampling frequency
• Lack of detailed column-level metadata

Provenance

Source

PKUDigitalHealth

Freshness

Last updated March 2026.