Bradycardia and Tachycardia Detection Using a Synthesis-by-Analysis Modeling Approach of Pulsatile Signal

doi:10.1109/ACCESS.2019.2940921

	Bradycardia and Tachycardia Detection Using a Synthesis-by-Analysis Modeling Approach of Pulsatile Signal
	Chou, Yongxin 1,4; Gu, Jason 2,5; Liu, Jicheng 1; Gu, Ya 1; Lin, Jiajun 3,4
	2019
发表期刊	IEEE Access
ISSN	2169-3536
卷号	7 页码:131256-131269
摘要	Bradycardia and tachycardia reflect abnormalities of the heart that can lead to severe harm to the cardiovascular system. The pulsatile signal is a useful tool to detect these two kinds of arrhythmias. In this study, we present a pulsatile synthesis-by-analysis (PSA) modeling based method to detect bradycardia and tachycardia. A new PSA modeling method was proposed to quantitively describe the changes of pulsatile waves, and we obtained twelve parameters for constructing a feature vector from the PSA model of each wave, by which we trained classifiers of probabilistic neural network (PNN) and random forest (RF). Our experiments were performed on the Fantasia and 2015 PhysioNet/CinC Challenge databases. Some pathological and physiological changes were extracted from the average models of the subjects in different groups. The two-sample ks-test results show that all the parameters between different groups are all markedly different ( $h = 1$ , $p © 2013 IEEE.
关键词	Cardiovascular system Decision trees Random forests Analysis models Classification performance Classification results Feature vectors Healthy subjects Kappa coefficient Model-based method Probabilistic neural networks
DOI	10.1109/ACCESS.2019.2940921
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000498617900002
出版者	Institute of Electrical and Electronics Engineers Inc., United States
EI入藏号	20200308053865
EI主题词	Physiological models
EI分类号	461.2 Biological Materials and Tissue Engineering - 961 Systems Science
来源库	Compendex
分类代码	461.2 Biological Materials and Tissue Engineering - 961 Systems Science
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/114791
专题	兰州理工大学
通讯作者	Gu, Jason
作者单位	1.Changshu Inst Technol, Sch Elect & Automat Engn, Suzhou 215500, Peoples R China; 2.Dalhousie Univ, Dept Elect & Comp Engn, Halifax, NS B3H 4R2, Canada; 3.East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China; 4.East China Univ Sci & Technol, Res Inst Changshu Co Ltd, Suzhou 215500, Peoples R China; 5.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730000, Gansu, Peoples R China
通讯作者单位	电气工程与信息工程学院
推荐引用方式 GB/T 7714	Chou, Yongxin,Gu, Jason,Liu, Jicheng,et al. Bradycardia and Tachycardia Detection Using a Synthesis-by-Analysis Modeling Approach of Pulsatile Signal[J]. IEEE Access,2019,7:131256-131269.
APA	Chou, Yongxin,Gu, Jason,Liu, Jicheng,Gu, Ya,&Lin, Jiajun.(2019).Bradycardia and Tachycardia Detection Using a Synthesis-by-Analysis Modeling Approach of Pulsatile Signal.IEEE Access,7,131256-131269.
MLA	Chou, Yongxin,et al."Bradycardia and Tachycardia Detection Using a Synthesis-by-Analysis Modeling Approach of Pulsatile Signal".IEEE Access 7(2019):131256-131269.