Atrial activity extraction from single lead ECG recordings: Evaluation of two novel methods
文献类型:期刊论文
作者 | Huhe Dai; Shouda Jiang; Ye Li |
刊名 | COMPUTERS IN BIOLOGY AND MEDICINE
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出版日期 | 2013 |
英文摘要 | Two different methods for extracting atrial activity (AA) signal from single lead electrocardiogram (ECG) of atrial fibrillation were proposed. The first one is a weighted average beat subtraction (WABS) method. Coefficients of QRS complexes used for constructing QRS template were obtained by minimizing mean square error. The second method is based on maximum likelihood estimation (MLE). Probability density functions of AA signal and ventricular activity (VA) signals were estimated using generalized Gaussian model. Then AA signal was extracted by maximizing likelihood function. Simulated signal and clinical ECG were used to evaluate the performance of ABS, WABS and MLE-based algorithm. In comparison with ABS, WABS and MLE-based algorithm reduced normal mean square error by 23.5% and 20.2%, respectively |
收录类别 | SCI |
原文出处 | http://www.sciencedirect.com/science/article/pii/S0010482512002090 |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/4827] ![]() |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | COMPUTERS IN BIOLOGY AND MEDICINE |
推荐引用方式 GB/T 7714 | Huhe Dai,Shouda Jiang,Ye Li. Atrial activity extraction from single lead ECG recordings: Evaluation of two novel methods[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2013. |
APA | Huhe Dai,Shouda Jiang,&Ye Li.(2013).Atrial activity extraction from single lead ECG recordings: Evaluation of two novel methods.COMPUTERS IN BIOLOGY AND MEDICINE. |
MLA | Huhe Dai,et al."Atrial activity extraction from single lead ECG recordings: Evaluation of two novel methods".COMPUTERS IN BIOLOGY AND MEDICINE (2013). |
入库方式: OAI收割
来源:深圳先进技术研究院
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