Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16071
Title: Analysis of EEG signals during acupuncture using spectral analysis techniques
Authors: Li, N
Wong, YK
Chan, WL 
Tsang, KM 
Keywords: EEG
Nonparametric One-Way ANOVA
Acupuncture
Spectral analysis
Issue Date: 2010
Publisher: IEEE
Source: 2010 IEEE International Conference on Automation and Logistics (ICAL), 16-20 August 2010, Hong Kong and Macau, p. 391-395 How to cite?
Abstract: Power spectral analysis is a traditional method used for EEG analysing. In this paper, Welch method was used to process the signals obtained from a carefully designed acupuncture experiment. The main objective of this work is to find the effect of acupuncture on brain. A protocol composed of three different manipulations has been designed to acquire the EEG signals using 22 biosensors. Totally 9 healthy volunteers with an age group of 23-27 years old have been used in this acupuncture experiment and ANOVA test was adopt to reveal the differences among several acupuncture stages. At last, an apparent phenomenon was found in the study.
URI: http://hdl.handle.net/10397/16071
ISBN: 978-1-4244-8375-4
978-1-4244-8374-7 (E-ISBN)
DOI: 10.1109/ICAL.2010.5585313
Appears in Collections:Conference Paper

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