DocumentCode :
2464170
Title :
Specific local sites in activity of the brain during listening to music
Author :
Sumiwaka, Haruki ; Izutsu, Masaki ; Hatakeyama, Shoshiro
Author_Institution :
Dept. of Robot. & Mechatron., Tokyo Denki Univ., Tokyo, Japan
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
289
Lastpage :
294
Abstract :
In recent years, brain function information is obtained a simplified with the development of bio-signals acquisition technology, information of brain function has been a significant contribution in the medical field. This paper proposes a method to determine notable measurement points in order to observe effectively the brain function information. The method that determine of notable measurement channels use principal component analysis. Principal component analysis is used to calculate the comprehensive change in brain activity. In addtion, this method define feature quantity as influential magnitude in brain by using the basis vector of principal component. Notable channel calculate as amount of activity using defined feature quantity. The Feature quantity is magnitude of brain variation in difference of measurement surround. By using feature quantity, this paper determine notable channel.
Keywords :
brain; feature extraction; medical signal processing; music; principal component analysis; bio-signals acquisition technology development; brain activity; brain function information; brain variation; feature quantity; music listening; notable channel; notable measurement channels; notable measurement points; principal component analysis; specific local sites; Blood; Brain; Electrodes; Humans; Principal component analysis; Semiconductor device measurement; Time measurement; Brain; Cerebral blood flow (total hemoglobin); Feature quantity; Principal component analysis; amount of activity music;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6377716
Filename :
6377716
Link To Document :
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