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
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;
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
DOI :
10.1109/BMEI.2009.5305592
