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Proceedings Paper

Adaptive wavelet-based recognition of oscillatory patterns on electroencephalograms
Author(s): Alexey I. Nazimov; Alexey N. Pavlov; Alexander E. Hramov; Vadim V. Grubov; Alexey A. Koronovskii; Evgenija Yu. Sitnikova
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Paper Abstract

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.

Paper Details

Date Published: 1 March 2013
PDF: 8 pages
Proc. SPIE 8580, Dynamics and Fluctuations in Biomedical Photonics X, 85801D (1 March 2013); doi: 10.1117/12.2001888
Show Author Affiliations
Alexey I. Nazimov, N.G. Chernyshevsky Saratov State Univ. (Russian Federation)
Alexey N. Pavlov, N.G. Chernyshevsky Saratov State Univ. (Russian Federation)
Saratov State Technical Univ. (Russian Federation)
Alexander E. Hramov, N.G. Chernyshevsky Saratov State Univ. (Russian Federation)
Vadim V. Grubov, Saratov State Technical Univ. (Russian Federation)
N.G. Chernyshevsky Saratov State Univ. (Russian Federation)
Alexey A. Koronovskii, Saratov State Technical Univ. (Russian Federation)
N.G. Chernyshevsky Saratov State Univ. (Russian Federation)
Evgenija Yu. Sitnikova, Institute for Higher Nervous Activity and Neurophysiology (Russian Federation)


Published in SPIE Proceedings Vol. 8580:
Dynamics and Fluctuations in Biomedical Photonics X
Valery V. Tuchin; Donald D. Duncan; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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