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
2013 Journal of communications technology & electronics  
The problem concerning the automatic recognition of characteristic oscillatory patterns in mul ticomponent 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 con tinuous wavelet transform (CWT) parameters to obtain characteristics describing the most important infor mation on analyzed patterns. The adaptive CWT based method for identifying the
more » ... racteristic types of EEG rhythmic activity is proposed.
doi:10.1134/s1064226913070115 fatcat:xejnf2kgnzde3kqzkiwkgievbm