A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection
Liu Bin; Liu Jikui; Wang Guoqing; Huang Kun; Li Fan; Zheng Yang; Luo Youxi; Zhou Fengfeng
刊名COMPUTERS IN BIOLOGY AND MEDICINE
2015
英文摘要The electrocardiogram (ECG) is a biophysical electric signal generated by the heart muscle, and is one of the major measurements of how well a heart functions. Automatic ECG analysis algorithms usually extract the geometric or frequency-domain features of the ECG signals and have already significantly facilitated automatic ECG-based cardiac disease diagnosis. We propose a novel ECG feature by fitting a given ECG signal with a 20th order polynomial function, defined as PolyECG-S. The PolyECG-S feature is almost identical to the fitted ECG curve, measured by the Akaike information criterion (AIC), and achieved a 94.4% accuracy in detecting the Myocardial Infarction (MI) on the test dataset. Currently ST segment elongation is one of the major ways to detect MI (ST-elevation myocardial infarction, STEMI). However, many ECG signals have weak or even undetectable ST segments. Since PolyECG-S does not rely on the information of ST waves, it can be used as a complementary MI detection algorithm with the STEMI strategy. Overall, our results suggest that the PolyECG-S feature may satisfactorily reconstruct the fitted ECG curve, and is complementary to the existing ECG features for automatic cardiac function analysis. (C) 2014 Elsevier Ltd. All rights reserved.
收录类别SCI
原文出处www.ncbi.nlm.nih.gov/pubmed/25201457
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/7126]  
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
Liu Bin,Liu Jikui,Wang Guoqing,et al. A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2015.
APA Liu Bin.,Liu Jikui.,Wang Guoqing.,Huang Kun.,Li Fan.,...&Zhou Fengfeng.(2015).A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection.COMPUTERS IN BIOLOGY AND MEDICINE.
MLA Liu Bin,et al."A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection".COMPUTERS IN BIOLOGY AND MEDICINE (2015).
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