|
|
|
| Feature Extraction and Recognition of Resting EEG in Poststroke Depression Subjects Based on Detrended Fluctuation Analysis |
| ANG Chun Fang1 ZHANG Li Xin1 LIU Shuang1 SUN Chang Cheng2 WANG Yong Jun2ZHAO Xin1 QI Hong Zhi1 ZHOU Peng1 WAN Bai Kun1 DU Jin Gang2 MING Dong1* |
1 Department of Biomedical Engineering, College of Precision Instrument and OptoElectronics Engineering, Tianjin University, Tianjin 300072, China)
2 Tianjin Institute of Rehabilitation Medicine, Tianjin People’s Hospital, Tianjin 300121, China |
|
|
|
|
Abstract To analyze the specificity of resting EEG signals in poststroke depression (PSD) subjects, the detrended fluctuation analysis (DFA) were used to extract feature parameters of scaling exponent α (the slope of the linear fit in the double logarithmic coordinate relating fluctuation functions F(s) and time sequence length) to 16 channels. The α values of 16 channel EEG signals for three different groups (10 healthy controls, 4 poststroke nondepression subjects and 7 poststroke depression subjects) were conducted independent ttest. Results show that there was a significant difference (P<0.05) of the scaling exponent α between healthy subjects and post stroke subjects in the parietal, temporal and occipital lobe. With the scaling exponents feature α to be 16 dimensional feature space, pattern recognition performed up to 90.9% classification accuracy using support vector machine (SVM) among poststroke subjects (poststroke depression subjects and poststroke nondepression subjects included), which can be expected to provide a new means of clinical aided diagnosis for PSD subjects objectively and effectively.
|
|
|
|
|
|
［1］王文志．中国脑卒中流行病学特征和社区人群干预 ［J］. 中国医学前沿杂志，2009，1(2)：49-53．
［2］丁世飞，齐丙娟，谭红艳．支持向量机理论与算法研究综述 ［J］. 电子科技大学学报，2011,40(1)：2-10．
［3］Angelelli P, Paolucci S, Bivona U, et al. Development of neuropsychiatric symptoms in poststroke patients: a crosssectional study ［J］. Acta Psychiatr Scand, 2004,110(1)：55-63．
［4］何舒，林渝峰，李霞．抑郁症的发病机制研究进展 ［J］. 四川生理科学杂志，2006，28（3）：126-128．
［5］Baskaran A, Milev R, McIntyre RS．The neurobiology of the EEG biomarker as a predictor of treatment response in depression ［J］. Neuropharmacology, 2012, 63(4)：507-513．
［6］Koek RJ, Yerevanian BI, Tachiki KH, et al．Hemispheric asymmetry in depression and mania A longitudinal QEEG study in bipolar disorder ［J］. Journal of Affective Disorders, 1999,53(2)：109-122．
［7］陈爱美．基于神经振荡的抑郁症脑电信号分析 ［D］. 秦皇岛：燕山大学，2010．
［8］胡巧莉．基于相位同步分析方法的抑郁症脑电信号的研究 ［J］. 中国医疗器械杂志，2010,34(4)：246-249．
［9］Davidson RJ．Anterior electrophysiological asymmetries, emotion, and depression: Conceptual and methodological conundrums ［J］. Psychophysiology, 1998, 35(5)：607-614．
［10］Pollock V, Schneider L．Quantitative, waking EEG research on depression ［J］. Biol Psychiatry, 1990, 27(7)：757-780．
［11］Henriques JB, Dividson RJ. Regional brain electrical asymmetries discriminate between previously depressed and healthy control subjects ［J］. J Abnorm Psychol 1990,99(1)：22-31．
［12］Ahmadlou M, Adeli H, Adeli A．Fractality analysis of frontal brain in major depressive disorder ［J］. Int J Psychophysiol, 2012, 85(2)：206-211．
［13］李颖洁，邱意弘，朱贻盛．脑电信号分析方法及其应用 ［M］. 北京:科学出版社，2009：111-117．
［14］梁晓花．基于脑电心电数据融合的睡眠分期 ［D］. 南京：江苏大学，2008．
［15］Watters PA, Martin F. A method for establishing longrange power law correlations from the electroencephalogram［J］. Biol Psychiatry, 2004,66:79-89．
［16］Nikulin VV, Brismar T. Longrange temporal correlations in electroencephalographic oscillations: relation to topography, frequency band, age and gender［J］. Neuroscience, 2005,130:549-58．
［17］Watters PA, Martin F．A method for estimating longrange power law correlations from the electroencephalogram ［J］. Biol Psychiatry, 2004,66(1)：79-89.
［18］Nikulin VV, Brismar T．Longrange temporal correlations in electroencephalographic oscillations: relation to topography, frequency band, age and gender ［J］. Neuroscience, 2005,130(2)：549-558．
［19］Lee JM, Kim DJ, Kim IY, et al．Nonlinearanalysis of human sleep EEG using detrended fluctuation analysis ［J］. Med Eng Phys, 2004,26(9)：773-776．
［20］Gifani P, Rabiee HR, Hashemi MH, et al．Optimal fractalscaling analysis of human EEG dynamic for depth of anesthesia quantification ［J］. J Franklin Inst, 2007,344：212-229．
［21］Lee JS, Yang BH, Lee JH， et al. Detrended fluctuation analysis of resting EEG in depressed outpatients and healthy controls ［J］. Clinical Neurophysiology, 2007,118:2489-2496．
［22］Parish LM, Worrell GA, Cranstoun SD, et al．Longrange temporal correlations in epileptogenic and nonepileptogenic human hippocampus ［J］. Neuroscience, 2004,125(4)：1069-1076．
［23］Bak P, Tang C, Wiesenfeld K．Selforganized criticality: an explanation of the 1/ f noise ［J］. Phys Rev Lett,1987，59(4)：381-384． |
|
|
|
