ccdd: an enhanced standard ecg database with its management and annotation tools
文献类型：会议论文
| 作者 | Zhang Jia-Wei ; Liu Xia ; Dong Jun |
| 出版日期 | 2012 |
| 关键词 | Diagnosis Diseases Electrocardiography Morphology |
| 页码 | - |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议录 | International Journal on Artificial Intelligence Tools
 |
| 语种 | 英语 |
| ISSN号 | 0218-2130 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15969]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Zhang Jia-Wei,Liu Xia,Dong Jun. ccdd: an enhanced standard ecg database with its management and annotation tools[C]. 见:. |
入库方式： OAI收割
来源：软件研究所
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