DocumentCode
2195955
Title
A Study of Effect of Music Pitch Variation in EEG Using Factor Analysis and Neural Networks
Author
Sreedevi, M. ; Ajesh, A. ; Ajithnath, R. ; Binu, L.S.
Author_Institution
Dept. of Electron. Eng., Coll. of Eng. Trivandrum, Trivandrum, India
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
3
Abstract
The aim of this study is to confirm the variation in evoked potential of electroencephalogram (EEG) when music at different pitches is given as stimulus. In this study we used factor analysis to discover the EEG responses of subjects with different musical signal stimuli. It is expected that some features can be demonstrated to reflect the different musical stimuli. After extracting the characteristic data of EEG using factor analysis, neural network was used to estimate the extracted characteristic data of EEG. It was observed that EEG varied with variation in music pitch. Finally in order to show the effectiveness of the above method, alpha-wave power of the EEG was examined.
Keywords
auditory evoked potentials; bioacoustics; electroencephalography; neural nets; EEG; alpha-wave power; evoked potential; factor analysis; music pitch variation; neural networks; Data mining; Educational institutions; Electroencephalography; Embedded software; Head; Independent component analysis; Information analysis; Neural networks; Signal analysis; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4132-7
Electronic_ISBN
978-1-4244-4134-1
Type
conf
DOI
10.1109/BMEI.2009.5305592
Filename
5305592
Link To Document