کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4336215 | 1614655 | 2008 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Influence of filters in the detrended fluctuation analysis of digital electroencephalographic data
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Influence of filters in the detrended fluctuation analysis of digital electroencephalographic data Influence of filters in the detrended fluctuation analysis of digital electroencephalographic data](/preview/png/4336215.png)
چکیده انگلیسی
The technique named detrended fluctuation analysis (DFA) has been used to reveal the presence of long-range temporal correlations (LRTC) and scaling behavior (SB) in electroencephalographic (EEG) recordings. The occurrence of these phenomena seems to be a salient characteristic of the healthy human brain and alterations in different pathologies has been described. Here we show how the filtering stages implemented in the systems for digital EEG influence the estimation of the DFA parameters used to characterize the brain signals. In consequence, we conclude that it is important to consider these filtering effects before interpreting the results obtained from digital EEG recordings.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 170, Issue 2, 30 May 2008, Pages 310–316
Journal: Journal of Neuroscience Methods - Volume 170, Issue 2, 30 May 2008, Pages 310–316
نویسندگان
Miguel Valencia, Julio Artieda, Manuel Alegre, Diego Maza,