The Chinese Cardiovascular Disease Database (CCDD) was developed to provide 12-lead ECG data, detailed annotation features, and beat diagnosis results for automated ECG analysis research.
Introduces a new standard 12-lead ECG database with detailed annotations to support research in automated ECG analysis.
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.
Zhang et al. (Mon,) conducted a other in Cardiovascular Disease. Chinese Cardiovascular Disease Database (CCDD) vs. Existing standard databases (MIT-BIH, QT, CSE, AHA) was evaluated on Creation of an enhanced standard ECG database with 12-lead ECG data, detailed annotation features, and beat diagnosis results. The Chinese Cardiovascular Disease Database (CCDD) was developed to provide 12-lead ECG data, detailed annotation features, and beat diagnosis results for automated ECG analysis research.