Space-time ICA and EM brain signals

Davies, Mike E., James, Christopher C. and Wang, Suogang (2007) Space-time ICA and EM brain signals. In, Davies, Mike E., James, Christopher C., Abdallah, Samer A. and Plumbley, Mark D. (eds.) Independent Component Analysis and Signal Separation: 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings. 7th International Conference on Independent Component Analysis and Signal Separation (ICA) Berlin, Germany, Springer, 577-584. (Lecture Notes in Computer Science 4666). (doi:10.1007/978-3-540-74494-8_72).


Full text not available from this repository.


Recently Single Channel ICA has been proposed where it can be shown that the algorithms learn temporal filters for separating the different components. Here we consider the natural extension to learning a set of space-time separating filters. We argue that these are capable of separation above and beyond that possible using only spatial or temporal methods alone. We then consider the potential of these ideas when applied to Ictal Electroencephalographic (EEG) data and Brain Computer Interaction (BCI).

Item Type: Book Section
Digital Object Identifier (DOI): doi:10.1007/978-3-540-74494-8_72
ISBNs: 3540744932 (paperback)
9783540744931 (paperback)
Related URLs:
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions : University Structure - Pre August 2011 > Institute of Sound and Vibration Research > Signal Processing and Control
ePrint ID: 50456
Accepted Date and Publication Date:
Date Deposited: 26 Feb 2008
Last Modified: 31 Mar 2016 12:28

Actions (login required)

View Item View Item