Imaging-documented cardiovascular signal database for assessing methods for ischaemia analysis

Area of Science:

• Cardiology
• Medical Informatics
• Biomedical Signal Processing

Background:

• Ischaemic heart disease (IHD) diagnosis requires comprehensive patient data.
• Existing cardiovascular signal repositories may lack integrated multi-modal data.
• Standardized data collection is crucial for advancing cardiovascular research.

Purpose of the Study:

• To develop a novel, comprehensive database of cardiovascular signals.
• To facilitate research on ischaemic heart disease (IHD) using integrated patient data.
• To establish a standardized repository for cardiovascular signal analysis.

Main Methods:

• Collected cardiovascular signals (12-lead ECG, arterial blood pressure, respiration) during stress tests.
• Integrated diagnostic imaging (echo, radionuclide) and pharmacological test data.
• Stored annotated beat-by-beat signals, image frames, clinical records, and arteriography data for 50 patients.

Main Results:

• A new database containing detailed cardiovascular signals and associated clinical information for suspected IHD patients has been established.
• The database includes non-invasively measured signals during stress testing and diagnostic imaging.
• Data is archived on CD-ROM with beat-by-beat annotations for detailed analysis.

Conclusions:

• The developed database provides a valuable resource for studying ischaemic heart disease.
• Integrated multi-modal data enhances the potential for accurate cardiovascular diagnosis and research.
• This initiative supports advancements in cardiovascular signal processing and clinical interpretation.