Analysis of wavelet-filtered tonic-clonic electroencephalogram recordings

EEG signals obtained during tonic-clonic epileptic seizures can be severely contaminated by muscle and physiological noise. Heavily contaminated EEG signals are hard to analyse quantitatively and also are usually rejected for visual inspection by physicians, resulting in a considerable loss of colle...

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Detalles Bibliográficos
Autores principales: Rosso, O.A., Figliola, A., Creso, J., Serrano, E.
Formato: JOUR
Materias:
EEG
Epileptic seizures
Non-linear dynamics metric tools
Wavelet analysis
Muscle artifacts
Physicians
Physiological noise
Acoustic noise
Biomedical engineering
Information analysis
Muscle
Signal detection
Time series analysis
Electroencephalography
analytic method
analytical parameters
article
artifact
computer analysis
controlled study
correlation analysis
electroencephalogram
filtration
frequency analysis
metric system
muscle contraction
nonlinear system
recording
signal noise ratio
time series analysis
tonic clonic seizure
Artifacts
Epilepsy, Tonic-Clonic
Humans
Signal Processing, Computer-Assisted
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01400118_v42_n4_p516_Rosso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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