DocumentCode
1992475
Title
Time-Frequency Analysis Based on Matching Pursuit and Its Application on Epilepsy
Author
Xiao, Wuyang ; Zheng, Xuyuan ; Wang, Zhen ; Ma, Donghua
Author_Institution
Sch. of Biomed. Eng., Tianjin Med. Univ., Tianjin, China
fYear
2012
fDate
27-30 May 2012
Firstpage
1
Lastpage
4
Abstract
Since the matching pursuit algorithm has good parametric characterization in signal decomposition, this paper considers the application of matching pursuit to describing the EEG´s time-frequency distribution. Compared with other methods such as short time Fourier transform and Wigner-Ville distribution, matching pursuit algorithm can get a better result. It was also found that significant difference exist between normal EEG and epilepsy EEG´s time-frequency distribution.
Keywords
Fourier transforms; diseases; electroencephalography; medical signal processing; time-frequency analysis; EEG time-frequency distribution; Wigner-Ville distribution; epilepsy; matching pursuit algorithm; short time Fourier transforms; signal decomposition; time-frequency analysis; Algorithm design and analysis; Electroencephalography; Epilepsy; Fourier transforms; Matching pursuit algorithms; Signal processing algorithms; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location
Xian
Print_ISBN
978-1-4577-1965-3
Type
conf
DOI
10.1109/SCET.2012.6342123
Filename
6342123
Link To Document