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

doi:10.1109/ACCESS.2019.2940921

CORC > 兰州理工大学 > 兰州理工大学

	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
刊名	IEEE Access
	2019
卷号	7 页码:131256-131269
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
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2940921
英文摘要	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.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc., United States
WOS记录号	WOS:000498617900002
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114791]
专题	兰州理工大学
作者单位	1.School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou; 215500, China; 2.Department of Electrical and Computer Engineering, Dalhousie University, Halifax; NS; B3H 4R2, Canada; 3.School of Information Science and Engineering, East China University of Science and Technology, Shanghai; 200237, China; 4.East China University of Science and Technology, Research Institute of Changshu Company Ltd., Suzhou; 215500, China; 5.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730000, China
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.