An analysis of EEG when acupuncture with wavelet entropy

Nuo Li; Jiang Wang; Bin Deng; Feng Dong

doi:10.1109/IEMBS.2008.4649354

An analysis of EEG when acupuncture with wavelet entropy

Annu Int Conf IEEE Eng Med Biol Soc. 2008:2008:1108-11. doi: 10.1109/IEMBS.2008.4649354.

Authors

Nuo Li¹, Jiang Wang, Bin Deng, Feng Dong

Affiliation

¹ School of electronic engineering and automation, Tianjin University, CO 300072, China. nuoli@tju.edu.cn

PMID: 19162857
DOI: 10.1109/IEMBS.2008.4649354

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Acupuncture Therapy / methods*
Algorithms*
Brain / physiology*
Computer Simulation
Electroencephalography / methods*
Humans
Models, Neurological*