The space-time skeleton method for analyzing EEG data

Anastasiya E. Runnova; E. Sitnikova; M. Zhuravlev

doi:10.1117/12.2564432

9 April 2020 The space-time skeleton method for analyzing EEG data

Anastasiya E. Runnova, E. Sitnikova, M. Zhuravlev

Proceedings Volume 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 114590E (2020) https://doi.org/10.1117/12.2564432
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation

Abstract

A new method of spatial-temporal analysis based on using of the concept of continuous wavelet transform is proposed. This technique allows time to detect the dominant frequency in each of the EEG recording channels and visualize the results. The results of applying the developed method to EEG signals of rat brain activity are demonstrated. Various structural features of the vibrational activity of the brain during behavioral sleep in rats with abscess epilepsy and conditionally healthy ones have been shown.

Citation Download Citation

Anastasiya E. Runnova, E. Sitnikova, and M. Zhuravlev "The space-time skeleton method for analyzing EEG data", Proc. SPIE 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 114590E (9 April 2020); https://doi.org/10.1117/12.2564432

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