A comparison of fractal dimension algorithms using synthetic and experimental data

摘要: The fractal dimension (FD) of a waveform represents powerful tool for transient detection. In particular, in analysis electroencephalograms (EEG) and electrocardiograms (EGG), this feature has been used to identify distinguish specific states physiologic function. A variety algorithms are available the computation FD. study, most common methods estimating FD biomedical signals analyzed compared. is performed over both synthetic data intracranial EEG (IEEG) recorded during pre-surgical evaluation individuals with epileptic seizures. advantages drawbacks each technique highlighted. effects window size, number overlapping points, signal noise ratio (SNR) evaluated method. This study demonstrates that careful selection algorithm required applications.