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Estimation and location tracking of the P300 subcomponents from single-trial EEG

Spyrou, L, Sanei, Saeid and Took, CC (2007) Estimation and location tracking of the P300 subcomponents from single-trial EEG In: 32nd IEEE International Conference on Acoustics, Speech and Signal Processing, 2007-04-15 - 2007-04-20, Honolulu, HI.

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Estimating the P300 subcomponents of Event Related Potentials (ERPs) is very important in the fields of psychiatry and neurology. The characteristics of these brain signals, such as latency, location, strength, and variation, can give useful insights of the person's condition. In particular, the signals' characteristics can aid in the diagnosis and monitoring of some specific psychiatric diseases such as schizophrenia of various stages, and can be a useful factor for their treatment. In this paper we employ a new filtering algorithm, incorporating prior knowledge of the shape of such components. Then we employ a novel localization algorithm to track the location of the P300 components trial by trial. © 2007 IEEE.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Surrey research (other units)
Authors :
Spyrou, L
Date : 1 January 2007
DOI : 10.1109/ICASSP.2007.366444
Copyright Disclaimer : © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Contributors :
Uncontrolled Keywords : Science & Technology, Technology, Acoustics, Computer Science, Artificial Intelligence, Computer Science, Software Engineering, Engineering, Electrical & Electronic, Imaging Science & Photographic Technology, Computer Science, Engineering, EEG, P300, source tracking, source localisation, single-trial, INVERSE PROBLEM
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 04 Jul 2017 11:01
Last Modified : 23 Jan 2020 12:56

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