Multiple characteristics analysis of Alzheimer's electroencephalogram by power spectral density and Lempel-Ziv complexity

被引:39
作者
Liu, Xiaokun [1 ]
Zhang, Chunlai [1 ]
Ji, Zheng [1 ]
Ma, Yi [1 ]
Shang, Xiaoming [1 ]
Zhang, Qi [1 ]
Zheng, Wencheng [1 ]
Li, Xia [1 ]
Gao, Jun [1 ]
Wang, Ruofan [2 ]
Wang, Jiang [2 ]
Yu, Haitao [2 ]
机构
[1] Hebei Med Univ, Tangshan Gongren Hosp, Dept Cardiol, Tangshan 063000, Hebei, Peoples R China
[2] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
关键词
Electroencephalogram; Alzheimer's disease; Power spectrum density; Lempel-Ziv complexity; Multiscale Lempel-Ziv complexity; EEG BACKGROUND ACTIVITY; NONLINEAR DYNAMICAL ANALYSIS; MILD COGNITIVE IMPAIRMENT; DISEASE PATIENTS; QUANTITATIVE EEG; DIAGNOSTIC-VALUE; PARKINSONS-DISEASE; ALPHA-RHYTHMS; SEVERITY; SYNCHRONIZATION;
D O I
10.1007/s11571-015-9367-8
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
To investigate the electroencephalograph (EEG) background activity in patients with Alzheimer's disease (AD), power spectrum density (PSD) and Lempel-Ziv (LZ) complexity analysis are proposed to extract multiple effective features of EEG signals from AD patients and further applied to distinguish AD patients from the normal controls. Spectral analysis based on autoregressive Burg method is first used to quantify the power distribution of EEG series in the frequency domain. Compared with the control group, the relative PSD of AD group is significantly higher in the theta frequency band while lower in the alpha frequency bands. In order to explore the nonlinear information, Lempel-Ziv complexity (LZC) and multi-scale LZC is further applied to all electrodes for the four frequency bands. Analysis results demonstrate that the group difference is significant in the alpha frequency band by LZC and multi-scale LZC analysis. However, the group difference of multi-scale LZC is much more remarkable, manifesting as more channels undergo notable changes, particularly in electrodes O1 and O2 in the occipital area. Moreover, the multi-scale LZC value provided a better classification between the two groups with an accuracy of 85.7 %. In addition, we combine both features of the relative PSD and multi-scale LZC to discriminate AD patients from the normal controls by applying a support vector machine model in the alpha frequency band. It is indicated that the two groups can be clearly classified by the combined feature. Importantly, the accuracy of the classification is higher than that of any one feature, reaching 91.4 %. The obtained results show that analysis of PSD and multi-scale LZC can be taken as a potential comprehensive measure to distinguish AD patients from the normal controls, which may benefit our understanding of the disease.
引用
收藏
页码:121 / 133
页数:13
相关论文
共 55 条
[1]   Analysis of EEG background activity in Alzheimer's disease patients with Lempel-Ziv complexity and central tendency measure [J].
Abásolo, D ;
Hornero, R ;
Gómez, C ;
García, M ;
López, M .
MEDICAL ENGINEERING & PHYSICS, 2006, 28 (04) :315-322
[2]   Entropy analysis of the EEG background activity in Alzheimer's disease patients [J].
Abásolo, D ;
Hornero, R ;
Espino, P ;
Alvarez, D ;
Poza, J .
PHYSIOLOGICAL MEASUREMENT, 2006, 27 (03) :241-253
[3]   Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy [J].
Abásolo, D ;
Hornero, R ;
Espino, P ;
Poza, J ;
Sánchez, CI ;
de la Rosa, R .
CLINICAL NEUROPHYSIOLOGY, 2005, 116 (08) :1826-1834
[4]   A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy [J].
Adeli, Hojjat ;
Ghosh-Dastidar, Samanwoy ;
Dadmehr, Nahid .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (02) :205-211
[5]   New diagnostic EEG markers of the Alzheimer's disease using visibility graph [J].
Ahmadlou, Mehran ;
Adeli, Hojjat ;
Adeli, Anahita .
JOURNAL OF NEURAL TRANSMISSION, 2010, 117 (09) :1099-1109
[6]   Application of periodogram and AR spectral analysis to EEG signals [J].
Akin M. ;
Kiymik M.K. .
Journal of Medical Systems, 2000, 24 (4) :247-256
[7]   Pre- and poststimulus alpha rhythms are related to conscious visual perception: A high-resolution EEG study [J].
Babiloni, Claudio ;
Vecchio, Fabrizio ;
Bultrini, Alessandro ;
Romani, Gian Luca ;
Rossini, Paolo Maria .
CEREBRAL CORTEX, 2006, 16 (12) :1690-1700
[8]   Diagnostic value of quantitative EEG in Alzheimer's disease [J].
Bennys, K ;
Rondouin, G ;
Vergnes, C ;
Touchon, J .
NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY, 2001, 31 (03) :153-160
[9]   Discrimination of Alzheimer's disease and normal aging by EEG data [J].
Besthorn, C ;
Zerfass, R ;
GeigerKabisch, C ;
Sattel, H ;
Daniel, S ;
SchreiterGasser, U ;
Forstl, H .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1997, 103 (02) :241-248
[10]   The diagnostic value of electroencephalography in mild senile Alzheimer' s disease [J].
Claus, JJ ;
Strijers, RLM ;
Jonkman, EJ ;
de Visser, BWO ;
Jonker, C ;
Walstra, GJM ;
Scheltens, P ;
van Gool, WA .
CLINICAL NEUROPHYSIOLOGY, 1999, 110 (05) :825-832