Forecasting of Ventricular Tachyarrhythmia based on Multi-scale Entropy of Short-term Heart Rate Variability

被引:2
作者
Liu Qing [1 ]
Dong Hong-sheng [1 ]
Ma Yin-yuan [2 ]
机构
[1] Lanzhou Inst Technol, Dept Elect Engn, Lanzhou, Gansu, Peoples R China
[2] Lanzhou Jiaotong Univ, Mechatron T&R Inst, Lanzhou, Gansu, Peoples R China
来源
PROCEEDINGS OF 2019 4TH INTERNATIONAL CONFERENCE ON BIOMEDICAL SIGNAL AND IMAGE PROCESSING (ICBIP 2019) | 2019年
关键词
Ventricular tachyarrhythmia; Heart rate variability; Weighted integrated multi-scale entropy(WIMSE); Complexity; IMPLANTABLE CARDIOVERTER-DEFIBRILLATORS; TACHYCARDIA; ONSET; TIME; FIBRILLATION; ARRHYTHMIAS; PREDICTION; POWER;
D O I
10.1145/3354031.3354048
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The weighted integrated multi-scale entropy(WIMSE) is analyzed for the 135 about ten minutes RR interval series preceding the onset of ventricular tachycardia and ventricular fibrillation(called VT/VF series),and the change of WIMSE is discussed for the data samples of significant increase of heart rate (called SI_HR group) and no significant change of heart rate (called nSI_HR group) preceding the onset of VT/VF events. Results show that the WIMSE of VT/VF series has significantly reduction compared with normal sinus rhythm (scale:1-30, p<0.05),and the reduction of WIMSE is more significant for the VT/VF series of SI_HR group, the extracted complexity index (scale:1-10,p<10-6). Therefore the WIMSE may be an effective nonlinear predictive parameters for forecasting VT/VF events.
引用
收藏
页码:24 / 29
页数:6
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