Title :
Wavelet analysis of EEG signals
Author :
Lin, En-Bing ; Shen, Xiaoping
Author_Institution :
Dept. of Math., Central Michigan Univ., Mount Pleasant, MI, USA
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;
Conference_Titel :
Aerospace and Electronics Conference (NAECON), Proceedings of the 2011 IEEE National
Conference_Location :
Dayton, OH
Print_ISBN :
978-1-4577-1040-7
DOI :
10.1109/NAECON.2011.6183086
