Adaptive wavelet-based recognition of oscillatory patterns on electroencephalograms

被引：0

作者：

Nazimov, Alexey I. ^{[1
]}

Pavlov, Alexey N. ^{[1
,2
]}

Hramov, Alexander E. ^{[2
,3
]}

Grubov, Vadim V. ^{[2
,3
]}

Koronovskii, Alexey A. ^{[2
,3
]}

Sitnikova, Evgenija Yu ^{[4
]}

机构：

[1] Saratov NG Chernyshevskii State Univ, Dept Phys, Astrakhanskaya Str 83, Saratov 410026, Russia

[2] Saratov State Tech Univ, REC Nonlinear Dynam Complex Syst, Saratov 410056, Russia

[3] Saratov NG Chernyshevskii State Univ, Fac Nonlinear Proc, Saratov 410026, Russia

[4] Russian Acad Sci, Inst Higher Nervous Activ & Neurophysiol, Moscow 117485, Russia

来源：

DYNAMICS AND FLUCTUATIONS IN BIOMEDICAL PHOTONICS IX | 2013年 / 8580卷

关键词：

Recognition; wavelet analysis; electroencephalogram; oscillatory patterns; BRAIN-COMPUTER INTERFACES; COMMUNICATION;

D O I：

10.1117/12.2001888

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The problem of automatic recognition of specific oscillatory patterns on electroencephalograms (EEG) is addressed using the continuous wavelet-transform (CWT). A possibility of improving the quality of recognition by optimizing the choice of CWT parameters is discussed. An adaptive approach is proposed to identify sleep spindles (SS) and spike wave discharges (SWD) that assumes automatic selection of CWT-parameters reflecting the most informative features of the analyzed time-frequency structures. Advantages of the proposed technique over the standard wavelet-based approaches are considered.

引用

页数：8

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