[Establishment of Application Database for Electrocardiograph in Different Scenes].

Area of Science:

• Biomedical Engineering
• Medical Informatics
• Cardiology

Background:

• Automated electrocardiogram (ECG) diagnostics require robust datasets for performance evaluation.
• Existing ECG databases may not adequately represent diverse clinical scenarios and hospital environments.

Purpose of the Study:

• To establish a comprehensive scene-based ECG database.
• To improve the automatic diagnostic function of electrocardiographs in varied clinical settings.

Main Methods:

• Constructed an ECG database categorized by hospital level (Grade 3, 2, 1) and clinical environment (ICU, outpatient, general wards).
• Sample sizes were determined based on the incidence of various ECG diagnoses.
• Database includes ECG signals, waveforms, characteristic values, expert diagnoses, and patient clinical information.

Main Results:

• The database provides a diverse collection of ECG data reflecting real-world clinical variations.
• It enables evaluation of automatic diagnostic algorithms under different application scenarios.

Conclusions:

• The developed scene ECG database is a valuable resource for electrocardiograph manufacturers to test and validate automated diagnostic parameters.
• It serves as crucial scientific research and educational material for healthcare professionals.