基本信息
浏览量:48
职业迁徙
个人简介
Highlights are:
- Multi-application and model support
- Classify normal vs abnormal ECG, with precision and recall >99.5%.
- Recognize 23 types of arrhythmia, including Tachycardia, Bradycardia, and Atrial Fibrillation with overal precision and recall >98%.
- Recognize common coronary heart disease, including Myocardial Infarction, Heart Failure, Myocarditis, with overal precision and recall >92%.
- Support both single and multi-lead ECG data
- Support ECG data processing in different sampling frequencies.
- HRV metrics real-time computation
- Multi-application and model support
- Classify normal vs abnormal ECG, with precision and recall >99.5%.
- Recognize 23 types of arrhythmia, including Tachycardia, Bradycardia, and Atrial Fibrillation with overal precision and recall >98%.
- Recognize common coronary heart disease, including Myocardial Infarction, Heart Failure, Myocarditis, with overal precision and recall >92%.
- Support both single and multi-lead ECG data
- Support ECG data processing in different sampling frequencies.
- HRV metrics real-time computation
研究兴趣
论文共 34 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Brendan Kitts,Jing Ying Zhang,Gang Wu,Wesley Brandi, Julien Beasley, Kieran Morrill, John Ettedgui, Sid Siddhartha, Hong Yuan, Feng Gao, Peter Azo, Raj Mahato
Annals of Information Systems (2015): 181-201
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data miningpp.1008-1015, (2008)
IEEE Transactions on Neural Networksno. 6 (2007): 1572-1588
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data miningpp.1-1, (2007)
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference (2006): 561-569
Large-scale machine learning using kernel methods (2006)
引用23浏览0EI引用
23
0
ICMLpp.681-688, (2006)
KDD06: The 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Philadelphia
PA
USA
August, 2006pp.760-766, (2006)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn