DocumentCode
3064695
Title
An analysis of EEG when acupuncture with wavelet entropy
Author
Li, Nuo ; Wang, Jiang ; Bin Deng ; Dong, Feng
Author_Institution
School of electronic engineering and automation, Tianjin University, CO 300072 China
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
1108
Lastpage
1111
Abstract
Wavelet energy entropy derived from wavelet multi-revolution decomposition, reconstruction and Shannon entropy can signify the complexity of unsteady EEG signals in both time domain and frequency domain. Firstly, the paper gives an introduction of the methods about wavelet energy entropy. Then the EEG signals when acupuncture is analyzed and some conclusions are addressed by using wavelet energy entropy, relative wavelet energy entropy and the time evolution of them.
Keywords
Cutoff frequency; Discrete wavelet transforms; Electroencephalography; Entropy; Fourier transforms; Microscopy; Sampling methods; Signal analysis; Signal processing; Wavelet analysis; Acupuncture Therapy; Algorithms; Brain; Computer Simulation; Electroencephalography; Humans; Models, Neurological;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649354
Filename
4649354
Link To Document