International Conference on Recent Trends in Information Technology and Computer Science 2012 |
Foundation of Computer Science USA |
ICRTITCS2012 - Number 3 |
February 2013 |
Authors: Khan Arjumand Masood, Nagori Meghana Brijlal |
b3d6ef9c-1c4e-416f-b915-5f6d23fb1a0a |
Khan Arjumand Masood, Nagori Meghana Brijlal . Automated Characterization of Brain Tasks using FastICA Feature Extraction Algorithm. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 3 (February 2013), 5-8.
Among the available imaging modalities, functional magnetic resonance imaging (fMRI) can provide the function of the brain based on the changes of local magnetic properties associated with the level of oxygenation and cerebral blood flow/volume. Independent component analysis (ICA) is a popular blind source separation (BSS) technique for the analysis of functional magnetic resonance imaging (fMRI) data and can be proved to work promisingly FastICA algorithm for feature extraction provide reliable results.