文章基本信息

标题：Investigating the Correlation Between DFA and FD in the Non-Linear Analysis of Heart Rate Variability
本地全文：下载
作者：Subhojit Sarker ; Ankur Ganguly ; D.N. Tibarewala 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2014
卷号：5
期号：1
页码：73-78
语种：English
出版社：Ayushmaan Technologies
摘要：The Heart Rate Variability signal (HRV) measures the spontaneousvariability between successive beats, as they are revealed by thepresence of an R wave in the Electrocardiographic ECG signal.Recent researches on HRV have suggested that besides traditionalLinear analysis techniques, the Non-Linear parameters can alsoprovide valuable information for the physiological interpretationof heart rate ﬂuctuations. The paper focuses on a comprehensivecharacterization of HRV using Fractal Dimension (FD) which iscomputed using two different methods. First, the intrinsic relationbetween Detrended Fluctuation Analysis, Power Law Index andFractal Dimension is utilized to determine the value of FD. In thesecond approach, the results obtained using the proposed methodis established by computing the value of Fractal dimension using astandard approach as proposed by the Higuchi’s algorithm. The aimis to establish the proposed method as a standard one for computingFractal dimension and associate it with other existing well-defnedFD computation techniques. Current study amongst male andfemale subjects leads us to identify non-linear HRV measures thatmay provide powerful insights into cardio-autonomic activity.
关键词：Autonomic Nervous System (ANS);R-R Interval (RRI);Heart Rate Variability (HRV);Fractal Dimension (FD)