DocumentCode
1810682
Title
Wavelet analysis of EEG signals
Author
Lin, En-Bing ; Shen, Xiaoping
Author_Institution
Dept. of Math., Central Michigan Univ., Mount Pleasant, MI, USA
fYear
2011
fDate
20-22 July 2011
Firstpage
105
Lastpage
110
Abstract
This paper examines the use of wavelets to analyze EEG signals. Wavelets provide time and frequency analysis simultaneously and offer different approaches for data analysis with a number of properties and flexibility. It is intended to seek similarities and correlations of EEG signals.
Keywords
correlation methods; data analysis; electroencephalography; medical signal processing; time-frequency analysis; wavelet transforms; EEG signal correlation; data analysis; electroencephalogram signals; frequency analysis; time analysis; wavelet analysis; Electroencephalography; Equations; Multiresolution analysis; Time frequency analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference (NAECON), Proceedings of the 2011 IEEE National
Conference_Location
Dayton, OH
ISSN
0547-3578
Print_ISBN
978-1-4577-1040-7
Type
conf
DOI
10.1109/NAECON.2011.6183086
Filename
6183086
Link To Document