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گواهی نمایه سازی مقاله R-R Interval Simulation Based on Power Spectrum Curve Fitting

عنوان مقاله: R-R Interval Simulation Based on Power Spectrum Curve Fitting
شناسه (COI) مقاله: ICBME20_051
منتشر شده در بیستمین کنفرانس مهندسی زیست پزشکی ایران در سال ۱۳۹۲
مشخصات نویسندگان مقاله:

Zainab Aram - Control and Intelligent Processing Center of Excellence,School of ECE, College of Engineering, University of Tehran Tehran, Iran
Seyed Kamaledin Setarehdan - Control and Intelligent Processing Center of Excellence,School of ECE, College of Engineering, University of Tehran Tehran, Iran

خلاصه مقاله:
Analysis of heart rate variability (HRV) is one of the most important noninvasive methods of measuring autonomic nervous system (ANS) activities. Hence, simulation of a realistic sequence of HRV signal can have a significant impact on diagnosis of different diseases related to ANS. In this paper, the focus is on generating realistic R-R interval signals using frequency domain analysis. An algorithm was developed using power spectrum curve fitting. The proposed method was compared to two previously reported algorithms. Twenty different sequences of data were generated with each of the three techniques. The performances of the three methods were then evaluated by exerting a frequency domain classification method to the generated data of each technique and the results were compared to each other.

کلمات کلیدی:
HRV , R-R interval sequence , power spectrum density , short term variation , RSA , Mayer wave , data-fitting

صفحه اختصاصی مقاله و دریافت فایل کامل: http://www.civilica.com/Paper-ICBME20-ICBME20_051.html