Details of Grant 

EPSRC Reference:	GR/S13132/01
Title:	Advancing the state-of-the-art in early seizure onset analysis in the EEG
Principal Investigator:	James, Professor C
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department:	Inst of Sound and Vibration Research
Organisation:	University of Southampton
Scheme:	First Grant Scheme Pre-FEC
Starts:	08 December 2003	Ends:	07 December 2005	Value (£):	103,407
EPSRC Research Topic Classifications:	Image & Vision Computing Med.Instrument.Device& Equip.
EPSRC Industrial Sector Classifications:	Healthcare
Related Grants:
Panel History:
Summary on Grant Application Form
This project intends to explore and develop advanced signal and pattern processing techniques for the analysis of the electromagnetic signals measured from the human brain. Specifically, these techniques will be applied to the analysis of early seizure onset in the EEG. This is a challenging problem-domain as most signal analysis is currently best performed using direct human inspection and interpretation. Component analysis techniques based on advanced information processing methodologies have been identified as powerful methods for the unsupervised extraction of meaningful information from such signals, extensions of independent component analysis techniques will be explored to this end. Furthermore, the development of a spatiotemporal dynamical embedding framework will be explored, leading to a methodology which can be used to increase performance when extracting small neurophysiologically meaningful signals buried in ongoing multichannel EEG. The combination of the component analysis techniques within the dynamical embedding framework, coupled with the use of prior information (spatiotemporal contextual cues) from the data domain, should result in more robust analysis techniques capable of extracting relevant seizure onset information underlying ongoing brain activity and in the presence of artifacts. The project is ultimately aimed at benefitting epilepsy sufferers, and whilst it will extend the understanding of electromagnetic brain signals, the methods derived will also benefit the wider biomedical and signal processing community.
Key Findings
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Potential use in non-academic contexts
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Further Information:
Organisation Website:	http://www.soton.ac.uk