Paper
9 April 2020 New methods for processing spatial human electroencephalography based on modified wavelet analysis
M. Zhuravlev, A. Runnova, O. Posnenkova
Author Affiliations +
Proceedings Volume 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 114590G (2020) https://doi.org/10.1117/12.2564376
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation
Abstract
In the present paper we describe a modification of the method of time-frequency analysis of EEG data based on continuous wavelet transform. A distinctive feature of the proposed technique is that it allows simultaneous spatial-temporal analysis of all EEG recording channels in different frequency ranges.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Zhuravlev, A. Runnova, and O. Posnenkova "New methods for processing spatial human electroencephalography based on modified wavelet analysis", Proc. SPIE 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 114590G (9 April 2020); https://doi.org/10.1117/12.2564376
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Electroencephalography

Wavelets

Continuous wavelet transforms

Brain

Signal processing

Analytical research

Visualization

RELATED CONTENT

Emotion recognition based on visual evoked EEG
Proceedings of SPIE (October 24 2022)
Artifact removal for physiological signals via wavelets
Proceedings of SPIE (August 29 2016)
Use of parallel computing for analyzing big data in EEG...
Proceedings of SPIE (February 13 2018)
The space-time skeleton method for analyzing EEG data
Proceedings of SPIE (April 09 2020)
Research on time-frequency analyzing theory and system
Proceedings of SPIE (May 22 2002)

Back to Top