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- W2999684745 abstract "Abstract The analysis of the brain electrical activity measured by means of electroencephalographic (EEG) records is a fundamental technique for the understanding and diagnosis of neurological diseases. This paper adopts the Multifractal Detrended Fluctuation Analysis, Hurst exponent (H) and fractal dimension (D) to analyze the dynamics of the EEG signals of normal and epileptic patients using a set of physiological time series. Furthermore, a new measure, namely the Combined Index, is proposed. The results indicate that the indices H and D are useful for building a combined measure of the EEG both for healthy and epileptic cerebral activity." @default.
- W2999684745 created "2020-01-23" @default.
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- W2999684745 date "2020-05-01" @default.
- W2999684745 modified "2023-09-26" @default.
- W2999684745 title "A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst" @default.
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- W2999684745 doi "https://doi.org/10.1016/j.cnsns.2020.105170" @default.
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