Some Fractal Dimension Estimate Algorithms and Their Applications to One-dimensional Biomedical Signals
نویسندگان
چکیده
Fractals can model many classes of time-seri" data. The fractal dimension is an important actertsfic of ftaqo& that coniai, c information . out their geometrical structure at multiple Ntod re a b g ms i l d h ti BC m h d t c s, : s a ass of CJJ4 ent proac ox-coun n ( } et over 1 g c es, e.g., o , o estimate the fractal-dimension. Jr. this paper, the d rential box-counting (DBC) approach, originally for 2-13 applications, is modified and applied to f -D case. In addition, two algorithms, called 11J shifting-DBC (SDBC41 D). and J -D scanning-BC ( ' SBC-1 D), are also proposed for 1-D signal ThS fractal dunentonsf ar 1-0 biomedical lse and ECG signals are calculated.
منابع مشابه
An Efficient Algorithm for Measuring Fractal Dimension of Complex Sequences
The paper presents algorithms for measuring the fractal dimension of real and complex digital signals embedded in one, two or higher dimensional spaces. Simple, yet efficient MATLAB implementations, allowing the fast handling of whole chromosome complex genomic signals, are described. Both global and local fractal dimension measurements are performed, as required by the fractal structure analys...
متن کاملA Critique on Power Spectrum – Area Fractal Method for Geochemical Anomaly Mapping
Power spectrum – area fractal (S-A fractal) method has been frequently applied for geochemical anomaly mapping. Some researchers have performed this method for separation of geochemical anomaly, background and noise and have delineated their distribution maps. In this research, surface geochemical data of Zafarghand Cu-Mo mineralization area have been utilized and some defects of S-A fractal me...
متن کاملAdaptive Segmentation with Optimal Window Length Scheme using Fractal Dimension and Wavelet Transform
In many signal processing applications, such as EEG analysis, the non-stationary signal is often required to be segmented into small epochs. This is accomplished by drawing the boundaries of signal at time instances where its statistical characteristics, such as amplitude and/or frequency, change. In the proposed method, the original signal is initially decomposed into signals with different fr...
متن کاملAn Adaptive Segmentation Method Using Fractal Dimension and Wavelet Transform
In analyzing a signal, especially a non-stationary signal, it is often necessary the desired signal to be segmented into small epochs. Segmentation can be performed by splitting the signal at time instances where signal amplitude or frequency change. In this paper, the signal is initially decomposed into signals with different frequency bands using wavelet transform. Then, fractal dimension of ...
متن کاملDetermining the Proper compression Algorithm for Biomedical Signals and Design of an Optimum Graphic System to Display Them (TECHNICAL NOTES)
In this paper the need for employing a data reduction algorithm in using digital graphic systems to display biomedical signals is firstly addressed and then, some such algorithms are compared from different points of view (such as complexity, real time feasibility, etc.). Subsequently, it is concluded that Turning Point algorithm can be a suitable one for real time implementation on a microproc...
متن کامل