Journal
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS
Volume 21, Issue 5, Pages -Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218213012400209
Keywords
ECG; standard ECG database; feature annotation; morphology features; QRS pattern
Categories
Funding
- Program of Shanghai Subject Chief Scientist [07XD14203]
- Shanghai Basic Key Research Project [08JC1409100]
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Standard Electrocardiogram (ECG) database is created for validating and comparing different algorithms on feature detection and disease classification. At present, there are four frequently used standard databases: MIT-BIH arrhythmia database, QT database, CSE multi-lead database and AHA database. With the development in equipment and diagnosis approach, severe deficiencies are discovered and a new modern ECG database is needed for further research. So Chinese Cardiovascular Disease Database (CCDD or CCD database), which contains 12-Lead ECG data, detailed annotation features and beat diagnosis result is proposed. It is advanced for not only improving the raw ECG data's technical parameters, but also introducing valuable morphology features which are utilized by experienced cardiologists effectively. CCDD is employed by our group as well as aiming for supporting other research groups that work in automated ECG analysis.
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