中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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