Coronary heart disease recognition based on dynamic pulse rate variability

doi:10.1007/978-3-319-42291-6_4

	Coronary heart disease recognition based on dynamic pulse rate variability
	Zhang, Aihua 2; Wei, Boxuan 2; Chou, Yongxin 1
	2016
会议日期	August 2, 2016 - August 5, 2016
会议地点	Lanzhou, China
关键词	Biomedical signal processing Blood pressure Cardiology Classification (of information) Computation theory Diseases Heart Intelligent computing Iterative methods Blood pressure signals Coronary heart disease Feature extraction methods Information entropy Nonlinear features Pulse rate variability Pulse signal Time-domain methods
卷号	9771
DOI	10.1007/978-3-319-42291-6_4
页码	28-38
英文摘要	Objective: In order to improve the accuracy and real-time of coronary heart disease (CHD) recognition, we propose a new method to analyze the pulse signal with the idea of sliding window iterative. Methods: Firstly, the principle of the feature extraction method(including time domain method, Poincare plot and information entropy) that combined with the idea of sliding window iterative is described. Secondly, The continuous blood pressure signals from the website database PhysioNet are chosen to generate the dynamic pulse rate variability (DPRV) signal as experimental data, and the linear and nonlinear feature is selected for classifying the healthy people and patients with CHD. Finally, the running time and accuracy of the method in this paper are comparaed with other methods. Result: The pulse signal can be online analyzed by this method. The average recognizing accuracy is 97.6%. Conclusion: This methods is entirely feasible. Compared with existing methods, its accuracy and real-time is higher. © Springer International Publishing Switzerland 2016.
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
会议录出版地	GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
语种	英语
ISSN号	03029743
WOS研究方向	Computer Science
WOS记录号	WOS:000387430300004
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117505]
专题	电气工程与信息工程学院
通讯作者	Zhang, Aihua
作者单位	1.Changshu Inst Technol, Sch Elect & Automat Engn, Changshu 215500, Peoples R China 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Aihua,Wei, Boxuan,Chou, Yongxin. Coronary heart disease recognition based on dynamic pulse rate variability[C]. 见:. Lanzhou, China. August 2, 2016 - August 5, 2016.