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Rosso, O.A.; Blanco, S.; Yordanova, J.; Kolev, V.; Figliola, A.; Schürmann, M.; Ba ar, E. "Wavelet entropy: A new tool for analysis of short duration brain electrical signals" (2001) Journal of Neuroscience Methods. 105(1):65-75
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Abstract:

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 that allow a better understanding of brain dynamics. Here, new method based on orthogonal discrete wavelet transform (ODWT) is applied. It takes as a basic element the ODWT of the EEG signal, and defines the relative wavelet energy, the wavelet entropy (WE) and the relative wavelet entropy (RWE). The relative wavelet energy provides information about the relative energy associated with different frequency bands present in the EEG and their corresponding degree of importance. The WE carries information about the degree of order/disorder associated with a multi-frequency signal response, and the RWE measures the degree of similarity between different segments of the signal. In addition, the time evolution of the WE is calculated to give information about the dynamics in the EEG records. Within this framework, the major objective of the present work was to characterize in a quantitative way functional dynamics of order/disorder microstates in short duration EEG signals. For that aim, spontaneous EEG signals under different physiological conditions were analyzed. Further, specific quantifiers were derived to characterize how stimulus affects electrical events in terms of frequency synchronization (tuning) in the event related potentials. Copyright © 2001 Elsevier Science B.V.

Registro:

Documento: Artículo
Título:Wavelet entropy: A new tool for analysis of short duration brain electrical signals
Autor:Rosso, O.A.; Blanco, S.; Yordanova, J.; Kolev, V.; Figliola, A.; Schürmann, M.; Ba ar, E.
Filiación:Facultad de Ciencias Exactas y Naturales, Instituto de Cálculo, Universidad de Buenos Aires, 1428 Buenos Aires, Argentina
Institute of Physiology, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., bl. 23, 1113 Sofia, Bulgaria
Institute of Physiology, Medical University Lübeck, Ratzeburger Alle 160, D-23538 Lübeck, Germany
TÜBITAK Brain Dynamics Research Unit, Ankara, Turkey
Palabras clave:EEG, event-related potentials (ERP); Signal entropy; Time-frequency signal analysis; Visual evoked potential; Wavelet analysis; adult; article; auditory stimulation; controlled study; cortical synchronization; electroencephalogram; electroencephalography; energy; entropy; event related potential; evoked visual response; frequency analysis; human; human experiment; mathematical analysis; normal human; oscillation; priority journal; quantitative assay; signal processing; technique; time; volunteer; waveform; wavelet; Adult; Biological Clocks; Brain; Cortical Synchronization; Electroencephalography; Entropy; Evoked Potentials; Humans; Models, Neurological; Signal Processing, Computer-Assisted; Time Factors
Año:2001
Volumen:105
Número:1
Página de inicio:65
Página de fin:75
DOI: http://dx.doi.org/10.1016/S0165-0270(00)00356-3
Título revista:Journal of Neuroscience Methods
Título revista abreviado:J. Neurosci. Methods
ISSN:01650270
CODEN:JNMED
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v105_n1_p65_Rosso

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Citas:

---------- APA ----------
Rosso, O.A., Blanco, S., Yordanova, J., Kolev, V., Figliola, A., Schürmann, M. & Ba ar, E. (2001) . Wavelet entropy: A new tool for analysis of short duration brain electrical signals. Journal of Neuroscience Methods, 105(1), 65-75.
http://dx.doi.org/10.1016/S0165-0270(00)00356-3
---------- CHICAGO ----------
Rosso, O.A., Blanco, S., Yordanova, J., Kolev, V., Figliola, A., Schürmann, M., et al. "Wavelet entropy: A new tool for analysis of short duration brain electrical signals" . Journal of Neuroscience Methods 105, no. 1 (2001) : 65-75.
http://dx.doi.org/10.1016/S0165-0270(00)00356-3
---------- MLA ----------
Rosso, O.A., Blanco, S., Yordanova, J., Kolev, V., Figliola, A., Schürmann, M., et al. "Wavelet entropy: A new tool for analysis of short duration brain electrical signals" . Journal of Neuroscience Methods, vol. 105, no. 1, 2001, pp. 65-75.
http://dx.doi.org/10.1016/S0165-0270(00)00356-3
---------- VANCOUVER ----------
Rosso, O.A., Blanco, S., Yordanova, J., Kolev, V., Figliola, A., Schürmann, M., et al. Wavelet entropy: A new tool for analysis of short duration brain electrical signals. J. Neurosci. Methods. 2001;105(1):65-75.
http://dx.doi.org/10.1016/S0165-0270(00)00356-3