New methods for processing spatial human electroencephalography based on modified wavelet analysis

被引：0

作者：

Zhuravlev, M. ^{[1
]}

Runnova, A. ^{[2
]}

Posnenkova, O. ^{[2
]}

机构：

[1] Saratov NG Chernyshevskii State Univ, Saratov, Russia

[2] Saratov State Med Univ, Saratov, Russia

来源：

SARATOV FALL MEETING 2019: COMPUTATIONS AND DATA ANALYSIS: FROM NANOSCALE TOOLS TO BRAIN FUNCTIONS | 2020年 / 11459卷

关键词：

Electroencephalogram; neurophysiological experiment; wavelet analysis; pattern recognition; EEG SIGNALS; CLASSIFICATION; DYNAMICS;

D O I：

10.1117/12.2564376

中图分类号：

R445 [影像诊断学];

学科分类号：

100207 ;

摘要：

In the present paper we describe a modification of the method of time-frequency analysis of EEG data based on continuous wavelet transform. A distinctive feature of the proposed technique is that it allows simultaneous spatial-temporal analysis of all EEG recording channels in different frequency ranges.

引用

页数：5

共 14 条

[1] Classification of EEG signals to identify variations in attention during motor task execution [J].

Aliakbaryhosseinabadi, Susan ;

Karnavuako, Ernest Nlandu ;

Jiang, Ning ;

Farina, Dario ;

Mrachacz-Kersting, Natalie .

JOURNAL OF NEUROSCIENCE METHODS, 2017, 284 :27-34

[2] Human brain dynamics:: the analysis of EEG signals with Tsallis information measure [J].

Capurro, A ;

Diambra, L ;

Lorenzo, D ;

Macadar, O ;

Martin, MT ;

Mostaccio, C ;

Plastino, A ;

Pérez, J ;

Rofman, E ;

Torres, ME ;

Velluti, J .

PHYSICA A, 1999, 265 (1-2) :235-254

[3] Quantitative EEG indices of sub-acute ischaemic stroke correlate with clinical outcomes [J].

Finnigan, Simon P. ;

Walsh, Michael ;

Rose, Stephen E. ;

Chalk, Jonathan B. .

CLINICAL NEUROPHYSIOLOGY, 2007, 118 (11) :2525-2532

[4]

Guger C., 2017, Neurology, V88, pP5

[5] Detection of Movement Related Cortical Potentials from EEG Using Constrained ICA for Brain-Computer Interface Applications [J].

Karimi, Fatemeh ;

Kofman, Jonathan ;

Mrachacz-Kersting, Natalie ;

Farina, Dario ;

Jiang, Ning .

FRONTIERS IN NEUROSCIENCE, 2017, 11

[6] Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC [J].

Ke, Hengjin ;

Chen, Dan ;

Li, Xiaoli ;

Tang, Yunbo ;

Shahs, Tejal ;

Ranjan, Rajiv .

IEEE ACCESS, 2018, 6 :14722-14733

[7] Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity [J].

Maksimenko, Vladimir A. ;

Kurkin, Semen A. ;

Pitsik, Elena N. ;

Musatov, Vyacheslav Yu ;

Runnova, Anastasia E. ;

Efremova, Tatyana Yu ;

Hramov, Alexander E. ;

Pisarchik, Alexander N. .

COMPLEXITY, 2018,

[8]

McFarland D., 2017, CURR OPIN BIOMED ENG

[9] A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance [J].

Meng, Jianjun ;

Edelman, Bradley J. ;

Olsoe, Jaron ;

Jacobs, Gabriel ;

Zhang, Shuying ;

Beyko, Angeliki ;

He, Bin .

FRONTIERS IN NEUROSCIENCE, 2018, 12

[10] Wavelet analysis in neurodynamics [J].

Pavlov, A. N. ;

Hramov, A. E. ;

Koronovskii, A. A. ;

Sitnikova, E. Yu ;

Makarov, V. A. ;

Ovchinnikov, A. A. .

PHYSICS-USPEKHI, 2012, 55 (09) :845-875

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