DocumentCode :
1877610
Title :
An Analysis of Brain Waves Characteristic with Acupuncture Feedback Using MFCC
Author :
Kwon, Tae-Gu ; Shin, Jeong-Hoon
Author_Institution :
Dept. of Comput. Inf. & Commun. Eng., Catholic Univ. of Daegu, Gyeongsan, South Korea
fYear :
2009
fDate :
27-29 May 2009
Firstpage :
385
Lastpage :
390
Abstract :
Over the centuries, research about oriental medicine has been used widely to heal many patients had diseases, but has the limitations point such as it is difficult to understand a scientific basis for the effects precisely. Recently, in oriental medicine research parts have been actively to establish the scientific basis for the research centers and the demand for medical has increase more and more. Among these researches, one of oriental medicine therapy treatment, the acupuncture does not have side effect limelight by western medicine´s surgery and medication. Therefore, in this paper, to solve those problems, we propose an analysis of brain waves MFCC with acupuncture feedback of meridian point. It was quantitative brain wave analysis utilized the BCI technology that it designed for the brain disease care system and analyze brain waves MFCC by acupuncture feedback of meridian point using spectrogram. The quantitative brain wave characteristic analysis utilized BCI technology can show scientific basis for oriental medicine. The brain disease care system using tactile feedback enables to select effective meridian point.
Keywords :
brain-computer interfaces; electroencephalography; medical signal processing; BCI technology; acupuncture feedback; brain disease care system; brain waves MFCC; brain waves characteristic analysis; brain-computer interface; oriental medicine therapy treatment; Artificial intelligence; Blood flow; Diseases; Distributed computing; Intelligent networks; Laser feedback; Medical treatment; Mel frequency cepstral coefficient; Software engineering; Spectrogram; EEG; Korea medical;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, 2009. SNPD '09. 10th ACIS International Conference on
Conference_Location :
Daegu
Print_ISBN :
978-0-7695-3642-2
Type :
conf
DOI :
10.1109/SNPD.2009.81
Filename :
5286636
Link To Document :
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