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|a eng
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| 100 |
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|a Jeong, J
|e verfasserin
|4 aut
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|a Test for low-dimensional determinism in electroencephalograms
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|c 1999
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|a Text
|b txt
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|a ohne Hilfsmittel zu benutzen
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|a Date Completed 27.08.2002
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|a Date Revised 28.07.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a 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
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|a Journal Article
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|a Kim, M S
|e verfasserin
|4 aut
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|a Kim, S Y
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
|d 1993
|g 60(1999), 1 vom: 30. Juli, Seite 831-7
|w (DE-627)NLM098226002
|x 1063-651X
|7 nnns
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|g year:1999
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|g pages:831-7
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