Publication: Epileptic seizure detection in EEG recordings using phase congruency
| dc.contributor.author | Yodchanan Wongsawat | en_US |
| dc.contributor.other | Mahidol University | en_US |
| dc.date.accessioned | 2018-07-12T02:24:47Z | |
| dc.date.available | 2018-07-12T02:24:47Z | |
| dc.date.issued | 2008-01-01 | en_US |
| dc.description.abstract | This paper presents the use of phase congruency to robustly detect the epileptic seizure. Phase congruency is calculated from log Gabor wavelets. Numbers of spikes detected from the phase congruency of two classes of EEG data (epilepsy and seizure free) are used as the features of interest. By using only one dimensional features, the detection accuracies of the proposed method are comparable with the existing magnitudebased methods. © 2008 IEEE. | en_US |
| dc.identifier.citation | Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". (2008), 927-930 | en_US |
| dc.identifier.other | 2-s2.0-61849168857 | en_US |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/19146 | |
| dc.rights | Mahidol University | en_US |
| dc.rights.holder | SCOPUS | en_US |
| dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=61849168857&origin=inward | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Engineering | en_US |
| dc.subject | Medicine | en_US |
| dc.title | Epileptic seizure detection in EEG recordings using phase congruency | en_US |
| dc.type | Conference Paper | en_US |
| dspace.entity.type | Publication | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=61849168857&origin=inward | en_US |