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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649354
