Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490044
Title: Computational Intelligence Approaches to Handling Uncertainty in the Analysis of Brain Signals.
Author: Herman, Pawel
Awarding Body: Ulster
Current Institution: Ulster University
Date of Award: 2008
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Abstract:
Electrophysiological brain activity offers an abundance of information about cognitive brain functionality, heavily exploited in clinical practice and scientific studies. A reliable automated analysis of brain signals has become an urgent need in the context of brain imaging and monitoring. One of the key challenges in this regard is to robustly account for uncertain information inherent to biological data sources. The uncertainty arises mainly out of the complexity and nondeterministic variability of the brain dynamics, and signal acquisition related factors with stochastic characteristics.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.490044  DOI: Not available
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