| dc.contributor.author | Rabie, Alaleh | |
| dc.contributor.author | Ahmed, Al-An | |
| dc.contributor.author | Van Dun, Bram | |
| dc.contributor.author | Dillon, Harvey | |
| dc.date.accessioned | 2014-08-15T05:43:22Z | |
| dc.date.available | 2014-08-15T05:43:22Z | |
| dc.date.issued | 2013-11 | |
| dc.identifier.citation | Conference on Neural Engineering 6th Annual International IEEE EMBS, San Diego, California, 6-8 November 2013 | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/47 | |
| dc.description | Many researchers have studied alertness because of its impact on our ability to process information. Several alertness state detection methods have been proposed in the literature. These methods can be broadly divided into signal-based and video-based. Methods that fall in the first category use physiological signals such the electroencephalogram (EEG), electronmyogram (EMG). | en_US |
| dc.description.abstract | in this paper, we focus on identifying the alertness state of subjects undergoing the cortical auditory evoked potential (CAEP) hearing test. A supervised classification approach is adopted, where subjects were advised to indicate their alertness states in specified time instances. Two sets of features are considered here to represent the recorded data. The first is based on the wavelet transform of the background, EEG, while the second is obtained from the peaks of the CAEP responses. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Cortical auditory evoked potential | en_US |
| dc.title | Detection of alertness states using electoencephalogram and cortical auditory evoked potential responses | en_US |
| dc.type | Presentation | en_US |
