DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Jaeseung | ko |
dc.contributor.author | Kim, MS | ko |
dc.contributor.author | Kim, Soo Yong | ko |
dc.date.accessioned | 2011-03-17T01:14:39Z | - |
dc.date.available | 2011-03-17T01:14:39Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1999-07 | - |
dc.identifier.citation | PHYSICAL REVIEW E, v.60, no.1, pp.831 - 837 | - |
dc.identifier.issn | 1539-3755 | - |
dc.identifier.uri | http://hdl.handle.net/10203/22720 | - |
dc.description.abstract | We tested low-dimensional determinism in an electroencephalogram (EEG), based on the fact that smoothness (continuity) on an embedded phase space is enough to imply determinism within time series. A modified version of the method developed by Salvino and Cawley [Phys. Rev. Lett. 73, 1091 (1994)] was used. In our method, we chose a box randomly and then estimated the mean directional element in the box containing the d+1 data points, where d is the embedding dimension. The global average for the mean local directional elements over the boxes, W, is a measure for smoothness. The nonlinear noise reduction method developed by Sauer [Physica D 58, 193 (1992)] is then applied to the EEG. We also compared the results for the EEG with those for its surrogate data. We found that the W values for the noise-reduced EEG had stable values around 0.35, which means that the EEG is not a low-dimensional deterministic signal. However, this method may not be applicable to the time series generated from high-dimensional deterministic systems, We cannot exclude the possibility that the determinism in the EEG may be too high-dimensional to be detected with current methods. [S1063-651X(99)05207-1]. | - |
dc.description.sponsorship | We thank Dr. Dae-jin Kim and J. Lee at St. Mary’s Hospital in Taejon for experimental help during this study. | en |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | AMER PHYSICAL SOC | - |
dc.subject | SMOOTHNESS IMPLIES DETERMINISM | - |
dc.subject | NOISE-REDUCTION METHOD | - |
dc.subject | TIME-SERIES | - |
dc.subject | ALZHEIMERS-DISEASE | - |
dc.subject | EMBEDDING DIMENSION | - |
dc.subject | EPILEPTIC SEIZURES | - |
dc.subject | CHAOTIC DYNAMICS | - |
dc.subject | SURROGATE-DATA | - |
dc.subject | EEG | - |
dc.subject | SYSTEMS | - |
dc.title | Test for low-dimensional determinism in electroencephalograms | - |
dc.type | Article | - |
dc.identifier.wosid | 000081550900104 | - |
dc.identifier.scopusid | 2-s2.0-0033167719 | - |
dc.type.rims | ART | - |
dc.citation.volume | 60 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 831 | - |
dc.citation.endingpage | 837 | - |
dc.citation.publicationname | PHYSICAL REVIEW E | - |
dc.identifier.doi | 10.1103/PhysRevE.60.831 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Jeong, Jaeseung | - |
dc.contributor.localauthor | Kim, Soo Yong | - |
dc.contributor.nonIdAuthor | Kim, MS | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | SMOOTHNESS IMPLIES DETERMINISM | - |
dc.subject.keywordPlus | NOISE-REDUCTION METHOD | - |
dc.subject.keywordPlus | TIME-SERIES | - |
dc.subject.keywordPlus | ALZHEIMERS-DISEASE | - |
dc.subject.keywordPlus | EMBEDDING DIMENSION | - |
dc.subject.keywordPlus | EPILEPTIC SEIZURES | - |
dc.subject.keywordPlus | CHAOTIC DYNAMICS | - |
dc.subject.keywordPlus | SURROGATE-DATA | - |
dc.subject.keywordPlus | EEG | - |
dc.subject.keywordPlus | SYSTEMS | - |
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