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-Hua1 ; Hao, Xiao-Hong1
	2011-12-01
发表期刊	Biomedical Engineering - Applications, Basis and Communications
ISSN	10162372
卷号	23 期号:6 页码:467-478
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
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
DOI	10.4015/S1016237211002797
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Biomedical
WOS记录号	WOS:000299087200005
出版者	World Scientific Publishing Co. Pte Ltd
EI入藏号	20120314697690
EI主题词	Spectrum analysis
EI分类号	461.2 Biological Materials and Tissue Engineering - 461.6 Medicine and Pharmacology - 462.2 Hospitals, Equipment and Supplies - 462.4 Prosthetics - 716.1 Information Theory and Signal Processing - 802.3 Chemical Operations - 921.3 Mathematical Transformations
来源库	Compendex
分类代码	461.2 Biological Materials and Tissue Engineering - 461.6 Medicine and Pharmacology - 462.2 Hospitals, Equipment and Supplies - 462.4 Prosthetics - 716.1 Information Theory and Signal Processing - 802.3 Chemical Operations - 921.3 Mathematical Transformations
引用统计	被引频次：2[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/111328
专题	电气工程与信息工程学院
通讯作者	Zhang, Ai-Hua
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Peoples R China; 2.Lanzhou Polytech Coll, Dept Elect Engn, Lanzhou, Peoples R China
第一作者单位	电气工程与信息工程学院
通讯作者单位	电气工程与信息工程学院
第一作者的第一单位	电气工程与信息工程学院
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.