Institutional Repository
| ccdd: an enhanced standard ecg database with its management and annotation tools | |
| Zhang Jia-Wei; Liu Xia; Dong Jun | |
| 2012 | |
| Source | International Journal on Artificial Intelligence Tools |
| Pages | - |
| Indexed Type | EI |
| ISSN | 0218-2130 |
| Department | (1) Software Engineering Institute East China Normal University Shanghai 200062 China; (2) Rui Jin Hospital Shanghai Jiao Tong University School of Medicine Shanghai 200025 China; (3) Suzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of Sciences Suzhou 215123 China |
| English Abstract | 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. © 2012 World Scientific Publishing Company.; 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. © 2012 World Scientific Publishing Company. |
| Keyword | Diagnosis Diseases Electrocardiography Morphology |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15969 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Zhang Jia-Wei,Liu Xia,Dong Jun. ccdd: an enhanced standard ecg database with its management and annotation tools[C],2012:-. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment