Multi-channel extraction methods for event-related potentials
dc.contributor.author | Lee, Wee Lih | |
dc.contributor.supervisor | Assoc. Prof Tele Tan | |
dc.contributor.supervisor | Dr Yee Hong Leung | |
dc.date.accessioned | 2017-01-30T10:16:39Z | |
dc.date.available | 2017-01-30T10:16:39Z | |
dc.date.created | 2014-12-03T00:03:31Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/2044 | |
dc.description.abstract |
Event-related potentials (ERPs) are neural activities that are generated in response to an event. In recent decades, multi-channel EEG recordings have been increasingly adopted in ERP studies. In this thesis, to extract an ERP-of-interest, single-trial multi-channel extraction methods have been developed. The developed methods are data-driven and thus avoid human intervention during ERP analyses. For this reason, they are also practical for real-time applications such as brain-computer interface (BCI). | |
dc.language | en | |
dc.publisher | Curtin University | |
dc.title | Multi-channel extraction methods for event-related potentials | |
dc.type | Thesis | |
dcterms.educationLevel | PhD | |
curtin.department | Department of Electrical and Computer Engineering | |
curtin.accessStatus | Open access |