Prediction of ventricular fibrillation using complexity analysis of T Wave from surface electrocardiogram
محل انتشار: فصلنامه مهندسی برق مدرس، دوره: 13، شماره: 1
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 57
فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_MJEEMO-13-1_001
تاریخ نمایه سازی: 21 اسفند 1403
چکیده مقاله:
Ventricular Fibrillation (VF) is the major cause of triggering sudden cardiac death (SCD). Efficient prediction of ventricular fibrillation is very important for clinical purpose, as this is the most serious cardiac rhythm disturbance and can be life threatening. A reliable predictor of an imminent episode of VF, could be incorporated in an implantable cardioverter defibrillator (ICD) would be capable of delivering preventive therapy. The aim of this study is to investigate the possibility of predicting VF from surface electrocardiogram (ECG) signal by beat to beat tracing of the signal and using a dynamic thresholding method. As VF arises from the lower pumping chambers of the heart (ventricles), it is expected to find some changes in the ventricular activity part of the ECG signal before its occurrence. In this paper, we focused on the T-wave of ECG signal which shows the repolarization of ventricles and tried to present an online predictor by finding an entropy-based pattern in T-waves of ECG signal that can effectively maps the irregularity of this wave before VF. We have also used an Empirical Mode Decomposition (EMD) method to reduce the high frequency noises of T-waves before predictive index extraction in each beat. We found that proposed predictive pattern can be considered as a useful index for probability occurrence of VF. It reached the sensitivity of ۸۹% and specificity of ۹۵% in online VF prediction method. Presented method is simple, computationally fast and has high prediction quality and hence is well suited for real time implementation.
کلیدواژه ها:
Keywords-Ventricular Fibrillation ، Prediction index ، Approximate Entropy ، Empirical Mode Decomposition ، کلمات کلیدی: آنتروپی تقریبی ، تجزیه مد تجربی ، شاخص پیشگویی کننده ، فیبریلاسیون بطنی
نویسندگان
عطیه ریاسی
M.Sc. Student, K. N. Toosi University of Technology, Biomedical Engineering group, Tehran, Iran,
مریم محبی
Assistant Professor, K. N. Toosi University of Technology, Biomedical Engineering group, Tehran, Iran,