Characterization of time dynamical evolution of electroencephalographic epileptic records

Since traditional electrical brain signal analysis is mostly qualitative, the development of new quantitative methods is crucial for restricting the subjectivity in the study of brain signals. These methods are particularly fruitful when they are strongly correlated with intuitive physical concepts...

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Guardado en:
Detalles Bibliográficos
Publicado: 2002
Materias:
EEG
Epileptic seizures
Nonlinear dynamics metrics tools
Signal entropy
Time-frequency signal analysis
Wavelet analysis
Brain
Chaos theory
Characterization
Electrodes
Entropy
Lyapunov methods
Neurology
Nonlinear systems
Time series analysis
Electroencephalography
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v312_n3-4_p469_Rosso
http://hdl.handle.net/20.500.12110/paper_03784371_v312_n3-4_p469_Rosso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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