The hilbert marginal spectrum analysis and feature extraction of short-term heart rate signal of spontaneous ventricular tachyarrhythmia

doi:10.4015/S1016237211002797

	The hilbert marginal spectrum analysis and feature extraction of short-term heart rate signal of spontaneous ventricular tachyarrhythmia
	Dong, Hong-Sheng 1,2; Zhang, Ai-Hua 1; Hao, Xiao-Hong 1
刊名	Biomedical Engineering - Applications, Basis and Communications
	2011-12-01
卷号	23 期号:6 页码:467-478
关键词	Biomedical signal processing Defibrillators Extraction Feature extraction Heart Implantable cardioverter defibrillators Mathematical transformations Hilbert Huang transforms Hilbert marginal spectrum Hilbert spectrum and marginal spectrums Improved Hilbert-Huang transforms Instantaneous heart rates Sudden cardiac deaths (SCD) Ventricular fibrillation Ventricular tachyarrhythmias
ISSN号	10162372
DOI	10.4015/S1016237211002797
英文摘要	The malignant ventricular tachyarrhythmia including ventricular tachycardia (VT) and ventricular fibrillation (VF) is the major cause of triggering sudden cardiac death (SCD) and it is seriously harmful to human. There is a great significance to predict the VT/VF. In this study, the RR interval series preceding the onset of VT/VF events are used as the study objects, and the 135 RR interval series are recorded by implantable cardioverter defibrillators (ICD) from 78 patients. Instantaneous heart rate (IHR) series are obtained after preprocessing the RR interval series. The Hilbert spectrum and the frequency marginal spectrum of IHR series are analyzed based on the traditional Hilbert-Huang transform (HHT) and the improved HHT. Some signal spectrum features are extracted from the marginal spectrum of IHR series: low frequency amplitude, high frequency amplitude, very high frequency amplitude, total amplitude and the low-to-high frequency amplitude ratio. The statistical analysis shows that the performance of improved HHT is better than that of traditional HHT. High frequency amplitude, very high frequency amplitude and total amplitude of IHR series preceding the onset of VT/VF are significantly higher than that of normal sinus rhythm (p
WOS研究方向	Engineering
语种	英语
出版者	World Scientific Publishing Co. Pte Ltd
WOS记录号	WOS:000299087200005
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/111328]
专题	电气工程与信息工程学院
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China; 2.Electrical Engineering Department of Lanzhou, Polytechnic College, Lanzhou, China
推荐引用方式 GB/T 7714	Dong, Hong-Sheng,Zhang, Ai-Hua,Hao, Xiao-Hong. The hilbert marginal spectrum analysis and feature extraction of short-term heart rate signal of spontaneous ventricular tachyarrhythmia[J]. Biomedical Engineering - Applications, Basis and Communications,2011,23(6):467-478.
APA	Dong, Hong-Sheng,Zhang, Ai-Hua,&Hao, Xiao-Hong.(2011).The hilbert marginal spectrum analysis and feature extraction of short-term heart rate signal of spontaneous ventricular tachyarrhythmia.Biomedical Engineering - Applications, Basis and Communications,23(6),467-478.
MLA	Dong, Hong-Sheng,et al."The hilbert marginal spectrum analysis and feature extraction of short-term heart rate signal of spontaneous ventricular tachyarrhythmia".Biomedical Engineering - Applications, Basis and Communications 23.6(2011):467-478.