Adaptive Wavelet Transform-Based Method for Recognizing Characteristic Oscillatory Patterns

A. I. NazimoV; A. N. Pavlov; A. E. Hramov; V. V. Grubov; E. Yu. Sitnikova; A. A. Koronovskii

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Adaptive Wavelet Transform-Based Method for Recognizing Characteristic Oscillatory Patterns

机译：基于自适应小波变换的特征振荡模式识别方法

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The problem concerning the automatic recognition of characteristic oscillatory patterns in multicomponent signals is investigated using the brain's electric activity records, electroencephalograms (EEGs), as an example. It has been ascertained that recognition errors can be decreased by optimally selecting continuous wavelet transform (CWT) parameters to obtain characteristics describing the most important information on analyzed patterns. The adaptive CWT-based method for identifying the characteristic types of EEG rhythmic activity is proposed.

机译：以大脑的电活动记录（脑电图（EEG））为例，研究了有关自动识别多分量信号中特征振荡模式的问题。已经确定，可以通过最佳选择连续小波变换（CWT）参数以获得描述描述的模式上最重要信息的特征来减少识别错误。提出了一种基于自适应CWT的脑电节律活动特征类型识别方法。

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《Journal of Communications Technology and Electronics》 |2013年第8期|790-795|共6页
作者
A. I. NazimoV; A. N. Pavlov; A. E. Hramov; V. V. Grubov; E. Yu. Sitnikova; A. A. Koronovskii;
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Chernyshevsky Saratov State University, ul. Astrakhanskaya 83, Saratov, 410012 Russia;

Chernyshevsky Saratov State University, ul. Astrakhanskaya 83, Saratov, 410012 Russia;

Chernyshevsky Saratov State University, ul. Astrakhanskaya 83, Saratov, 410012 Russia,Gagarin Saratov State Technical University, ul. Politekhnicheskaya 77, Saratov, 410054 Russia;

Chernyshevsky Saratov State University, ul. Astrakhanskaya 83, Saratov, 410012 Russia,Gagarin Saratov State Technical University, ul. Politekhnicheskaya 77, Saratov, 410054 Russia;

Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences,ul. Butlerova 5A, Moscow, 117485 Russia;

Chernyshevsky Saratov State University, ul. Astrakhanskaya 83, Saratov, 410012 Russia,Gagarin Saratov State Technical University, ul. Politekhnicheskaya 77, Saratov, 410054 Russia;

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Adaptive Wavelet Transform-Based Method for Recognizing Characteristic Oscillatory Patterns

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