A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients
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, calle...
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| Format: | Article |
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MDPI AG
2014-11-01
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| Series: | Entropy |
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| Online Access: | http://www.mdpi.com/1099-4300/16/11/5976 |
| _version_ | 1811184212112310272 |
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| author | Mariel Rosenblatt Alejandra Figliola Gustavo Paccosi Eduardo Serrano Osvaldo A. Rosso |
| author_facet | Mariel Rosenblatt Alejandra Figliola Gustavo Paccosi Eduardo Serrano Osvaldo A. Rosso |
| author_sort | Mariel Rosenblatt |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T13:10:07Z |
| format | Article |
| id | doaj.art-23c70fb4296d42ea810d059ee2870fa1 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T13:10:07Z |
| publishDate | 2014-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-23c70fb4296d42ea810d059ee2870fa12022-12-22T04:22:37ZengMDPI AGEntropy1099-43002014-11-0116115976600510.3390/e16115976e16115976A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet CoefficientsMariel Rosenblatt0Alejandra Figliola1Gustavo Paccosi2Eduardo Serrano3Osvaldo A. Rosso4Instituto del Desarrollo Humano, Universidad Nacional de General Sarmiento, Juan María Gutiérrez 1150, Provincia de Buenos Aires, ArgentinaInstituto del Desarrollo Humano, Universidad Nacional de General Sarmiento, Juan María Gutiérrez 1150, Provincia de Buenos Aires, ArgentinaInstituto del Desarrollo Humano, Universidad Nacional de General Sarmiento, Juan María Gutiérrez 1150, Provincia de Buenos Aires, ArgentinaCentro de Matemática Aplicada, Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín, Irigoyen 3100, Provincia de Buenos Aires, ArgentinaInstituto de Física, Universidade Federal de Alagoas, BR 104 Norte km 97, 57072-970 Maceió, Alagoas, BrazilThe 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.http://www.mdpi.com/1099-4300/16/11/5976wavelet analysiswavelet leadersentropystatistical complexitylocal regularityEEG |
| spellingShingle | Mariel Rosenblatt Alejandra Figliola Gustavo Paccosi Eduardo Serrano Osvaldo A. Rosso A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients Entropy wavelet analysis wavelet leaders entropy statistical complexity local regularity EEG |
| title | A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients |
| title_full | A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients |
| title_fullStr | A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients |
| title_full_unstemmed | A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients |
| title_short | A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients |
| title_sort | quantitative analysis of an eeg epileptic record based on multiresolutionwavelet coefficients |
| topic | wavelet analysis wavelet leaders entropy statistical complexity local regularity EEG |
| url | http://www.mdpi.com/1099-4300/16/11/5976 |
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