Comparison of predictability of epileptic seizures by a linear and a nonlinear method.
The performance of traditional linear (variance based) methods for the identification and prediction of epileptic seizures are contrasted with "modern" methods from nonlinear time series analysis. We note several flaws of design in demonstrations claiming to establish the efficacy of nonli...
| Main Authors: | , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado: |
2003
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| _version_ | 1826305598216470528 |
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| author | McSharry, P Smith, L Tarassenko, L |
| author_facet | McSharry, P Smith, L Tarassenko, L |
| author_sort | McSharry, P |
| collection | OXFORD |
| description | The performance of traditional linear (variance based) methods for the identification and prediction of epileptic seizures are contrasted with "modern" methods from nonlinear time series analysis. We note several flaws of design in demonstrations claiming to establish the efficacy of nonlinear techniques; in particular, we examine published evidence for precursor identification. We perform null hypothesis tests using relevant surrogate data to demonstrate that decreases in the correlation density prior to and during seizure may simply reflect increases in the variance. |
| first_indexed | 2024-03-07T06:35:15Z |
| format | Journal article |
| id | oxford-uuid:f768687b-38c2-414a-b85b-a2ca06895acd |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:35:15Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | oxford-uuid:f768687b-38c2-414a-b85b-a2ca06895acd2022-03-27T12:42:23ZComparison of predictability of epileptic seizures by a linear and a nonlinear method.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f768687b-38c2-414a-b85b-a2ca06895acdEnglishSymplectic Elements at Oxford2003McSharry, PSmith, LTarassenko, LThe performance of traditional linear (variance based) methods for the identification and prediction of epileptic seizures are contrasted with "modern" methods from nonlinear time series analysis. We note several flaws of design in demonstrations claiming to establish the efficacy of nonlinear techniques; in particular, we examine published evidence for precursor identification. We perform null hypothesis tests using relevant surrogate data to demonstrate that decreases in the correlation density prior to and during seizure may simply reflect increases in the variance. |
| spellingShingle | McSharry, P Smith, L Tarassenko, L Comparison of predictability of epileptic seizures by a linear and a nonlinear method. |
| title | Comparison of predictability of epileptic seizures by a linear and a nonlinear method. |
| title_full | Comparison of predictability of epileptic seizures by a linear and a nonlinear method. |
| title_fullStr | Comparison of predictability of epileptic seizures by a linear and a nonlinear method. |
| title_full_unstemmed | Comparison of predictability of epileptic seizures by a linear and a nonlinear method. |
| title_short | Comparison of predictability of epileptic seizures by a linear and a nonlinear method. |
| title_sort | comparison of predictability of epileptic seizures by a linear and a nonlinear method |
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