THE NONLINEAR AND NONSTATIONARY PROPERTIES IN EEG SIGNALS: PROBING THE COMPLEX FLUCTUATIONS BY HILBERT-HUANG TRANSFORM

被引：41

作者：

Lo, Men-Tzung ^{[1
]}

Tsai, Ping-Huang ^{[2
,3
,4
]}

Lin, Pei-Feng ^{[5
,6
]}

Lin, Chen ^{[1
,7
]}

Hsin, Yue Loong ^{[8
]}

机构：

[1] Natl Cent Univ, Res Ctr Adapt Data Anal, Chungli, Taiwan

[2] Natl Yang Ming Univ Hosp, Dept Neurol, Yi Lan, Taiwan

[3] Natl Taiwan Univ, Grad Inst Biomed Elect & Bioinformat, Taipei, Taiwan

[4] Natl Yang Ming Univ, Sch Med, Taipei, Taiwan

[5] Natl Taiwan Univ, Coll Med, Grad Inst Clin Med, Taipei, Taiwan

[6] Execut Yuan Tainan Hosp, Dept Hlth, Tainan, Taiwan

[7] Natl Cent Univ, Inst Syst Biol & Bioinformat, Taoyuan, Taiwan

[8] Buddhist Tzu Chi Gen Hosp, Hualein, Taiwan

来源：

ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS | 2009年 / 1卷 / 03期

关键词：

Nonstationary; nonlinear; EEG; dementia; Hilbert-Huang transform; coherence; brain topography; intrawave frequency modulation; interwave frequency; time frequency analysis;

D O I：

10.1142/S1793536909000199

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The analysis of biological fluctuations provides an excellent route to probe the underlying mechanisms in maintaining internal homeostasis of the body, especially under the challenges of the ever-changing environment or disease processes. However, the features of nonlinearity and nonstationarity in physiological time series limit the reliability of the conventional analysis. Hilbert-Huang transform (HHT), based on nonlinear theory, is an innovative approach to extract the dynamic information at different time scales, in particular, from nonstationary signals. In this paper, HHT is introduced to analyze the alpha waves of human's electroencephalography (EEG), which seemly oscillate regularly between 8 and 12Hz in healthy subject but getting irregular or disappeared in different demented status. Furthermore, conventional time-frequency analyses are adopted to collate the results from those methods and HHT. Finally, the potential usages of HHT are demonstrated in characterizing the biological signals qualitatively and quantitatively, including stationarity analysis, instantaneous frequency and amplitude modulation or correlation analysis. Such applications on EEG have successively disclosed the differences of alpha rhythms between normal and demented brains and the nonlinear characteristics of the underlying mechanisms. Hopefully, in addition to empower the studies of EEGvaried in diseased, aging, and physiological processes, these methods might find other applications in EEG analysis.

引用

页码：461 / 482

页数：22