{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:27:13Z","timestamp":1760243233668,"version":"build-2065373602"},"reference-count":67,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2014,11,17]],"date-time":"2014-11-17T00:00:00Z","timestamp":1416182400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed. In addition, an extension of this methodology based on multiresolution quantities, called wavelet leaders, is presented. In particular, the temporal evolution of Shannon entropy and the statistical complexity evaluated with different sets of multiresolution wavelet coefficients are considered. Both methodologies are applied to the quantitative EEG time series analysis of a tonic-clonic epileptic seizure, and comparative results are presented. In particular, even when both methods describe the dynamical changes of the EEG time series, the one based on wavelet leaders presents a better time resolution.<\/jats:p>","DOI":"10.3390\/e16115976","type":"journal-article","created":{"date-parts":[[2014,11,17]],"date-time":"2014-11-17T10:19:13Z","timestamp":1416219553000},"page":"5976-6005","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients"],"prefix":"10.3390","volume":"16","author":[{"given":"Mariel","family":"Rosenblatt","sequence":"first","affiliation":[{"name":"Instituto del Desarrollo Humano, Universidad Nacional de General Sarmiento, Juan Mar\u00eda Guti\u00e9rrez 1150, Provincia de Buenos Aires, Argentina"}]},{"given":"Alejandra","family":"Figliola","sequence":"additional","affiliation":[{"name":"Instituto del Desarrollo Humano, Universidad Nacional de General Sarmiento, Juan Mar\u00eda Guti\u00e9rrez 1150, Provincia de Buenos Aires, Argentina"}]},{"given":"Gustavo","family":"Paccosi","sequence":"additional","affiliation":[{"name":"Instituto del Desarrollo Humano, Universidad Nacional de General Sarmiento, Juan Mar\u00eda Guti\u00e9rrez 1150, Provincia de Buenos Aires, Argentina"}]},{"given":"Eduardo","family":"Serrano","sequence":"additional","affiliation":[{"name":"Centro de Matem\u00e1tica Aplicada, Escuela de Ciencia y Tecnolog\u00eda, Universidad Nacional de San Mart\u00edn, Irigoyen 3100, Provincia de Buenos Aires, Argentina"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1288-2528","authenticated-orcid":false,"given":"Osvaldo","family":"Rosso","sequence":"additional","affiliation":[{"name":"Instituto de F\u00edsica, Universidade Federal de Alagoas, BR 104 Norte km 97, 57072-970 Macei\u00f3, Alagoas, Brazil"},{"name":"Instituto Tecnol\u00f3gico de Buenos Aires (ITBA), Av. Eduardo Madero 399 (C1106ACD), Ciudad Aut\u00f3noma de Buenos Aires, Argentina"}]}],"member":"1968","published-online":{"date-parts":[[2014,11,17]]},"reference":[{"key":"ref_1","unstructured":"Niedermeyer, E., and Lopes da Silva, F.H. (1987). Electroencephalography, Basic Principles, Clinical Applications, and Related Field, Urban and Schwarzenberg."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/S0921-884X(96)95195-4","article-title":"Non-linearity in invasive EEG recordings from patients with temporal lobe epilepsy","volume":"102","author":"Casdagli","year":"1997","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Lehnertz, K., and Elger, C.E. (1998). Can epileptic seizures be predicted? Evidence from nonlinear time series analysis of brain electrical activity. Phys. Rev. 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