Detrended fluctuation analysis of human brain electroencephalogram

A Study on the Possible Usefulness of Detrended Fluctuation Analysis of the Electroencephalogram Background Activity in Alzheimer's Disease

“…On the other hand, the results from [10] and [24] are in agreement with our study, in the sense that two scaling regions with a clear bend between them were found in the EEG. These studies also show that information provided by DFA has potential implications for the classification of EEGs in subtypes.…”

“…For instance, changes in the EEG in sleep stages [21] and other physiological states [11], [12] have been studied with DFA. Moreover, it has also been useful to characterize EEG changes in AD [23], [24]. The scaling behavior of the EEG as a measure of the level of consciousness during general anesthesia has also been studied with DFA [22].…”

“…DFA has also been applied to study the EEG in AD, which is characterized by diminished fluctuations in the level of synchronization [23]. Changes in the scaling properties of the EEG in AD have also been investigated with DFA [24].…”

“…The powers were integrated in the following frequency bands: delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), and beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) Hz). The relative power for each frequency band was computed by dividing the integrated value by the total power in the whole filtered band.…”

Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique

“…While the field is too broad to comprehensively review for the scope of this report, we will discuss one of the most frequently utilized methods for analyzing time series with scalefree dynamics, the detrended fluctuation analysis (DFA) [18], which has also been extensively utilized on human EEG signals [16,[19][20][21][22][23]. DFA is an efficient technique to assess monofractal power-law scaling in the presence of nonstationary trends in the data [24].…”