A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst (2020)
Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: FZEA
Subjects: EPILEPSIA, ELETROENCEFALOGRAFIA, MEMÓRIA, DIMENSÃO
ABNT
DAVID, Sérgio Adriani et al. A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst. Communications in Nonlinear Science and Numerical Simulation, v. 84, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2020.105170. Acesso em: 11 set. 2024.APA
David, S. A., Machado, J. A. T., Inácio Junior, C. M. C., & Valentim Junior, C. A. (2020). A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst. Communications in Nonlinear Science and Numerical Simulation, 84, 1-13. doi:10.1016/j.cnsns.2020.105170NLM
David SA, Machado JAT, Inácio Junior CMC, Valentim Junior CA. A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2020 ; 84 1-13.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105170Vancouver
David SA, Machado JAT, Inácio Junior CMC, Valentim Junior CA. A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2020 ; 84 1-13.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105170