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.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:490044 |
| Date | January 2008 |
| Creators | Herman, Pawel |
| Publisher | University of Ulster |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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