The Hilbert Marginal Spectrum Analysis of Short-term Heart Rate Signal Prior to Spontaneous Onset of Ventricular Tachyarrhythmia
The ventricular tachycardia (VT) and ventricular fibrillation (VF) are major causes of triggering sudden cardiac death (SCD) and seriously damage to human life.So,there has a very important significance on prediction research of VT/VF. In this study.the 1024 RR intervals series preceding 135 VT/VF episodes from 78 patients stored by the implantable cardioverter deflbrillators (ICD) were analyzed and compared to individually acquired control time series from the same patients normally intrinsic sinus rhythms. The artifacts and ectopic beats were removed by an adaptive filtering algorithm using local variance estimation. After converting RR intervals into instantaneous heart rate (IHR), The Hilbert frequency marginal spectrum of IHR signal were analyzed based on improved Hilbert-Huang transform. Then low-frequency amplitude, high frequency amplitude, very high frequency amplitude, total amplitude and the low-to-high frequency amplitude ratio were extracted from frequency marginal spectrum of IHR signal as signal feature. In comparison with normal sinus rhythm, statistic analysis shows that high frequency amplitude (p<0.001),very high frequency amplitude (p<10-6) and total amplitude (p <0.002) of heart rate signal before the onset of VT/VF are significantly higher, but the low-to-high frequency amplitude ratio(p<0.0002)is significantly lower.
Ventricular tachyarrhythmia Instantaneous heart rate Improved Hilbert-Huang transform Hilbert marginal spectrum Feature extraction
Hong-Sheng Dong Ai-Hua Zhang Xiao-Hong Hao
College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou, China
国际会议
上海
英文
874-879
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）