Translator Disclaimer
Paper
9 April 2020 The space-time skeleton method for analyzing EEG data
Author Affiliations +
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.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
4 PAGES


SHARE
Advertisement
Advertisement
Back to Top