Publication
Electroencephalogram cepstral distances in alzheimer’s disease diagnosis
| dc.contributor.author | Rodrigues, Pedro Miguel | |
| dc.contributor.author | Freitas, Diamantino Silva | |
| dc.contributor.author | Teixeira, João Paulo | |
| dc.date.accessioned | 2016-09-07T08:45:23Z | |
| dc.date.available | 2016-09-07T08:45:23Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Alzheimer's disease (AD) represents one ofthe greatest public health challenges worldwide nowadays, because it affects millions of people ali o ver the world and it is expected that the disease will increase considerably in the near future. This study is the first application attempt of cepstral analysis on Electroencephalogram (EEG) signals to find new parameters in arder to achieve a better differentiation belween EEGs of AD patients and Control subjects. The results show that the methodology that uses a combined Wavelet (WT) Biorthogonal (Bior) 3.5 and cepstrum analysis was able to describe the EEG dynamics with a higher discriminative power than the other WTs/spectmm methodologies m previous studies. The most important significance figures were found in cepstral distances between cepstrums oftheta and alpha bands (p=0. 00006<0. 05). | pt_PT |
| dc.identifier.citation | Rodrigues, P. M.; Freitas, D. R.; Teixeira, João Paulo (2015). Electroencephalogram cepstral distances in alzheimer’s disease diagnosis. In ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS 2015. 64, p. 879 – 884. | pt_PT |
| dc.identifier.doi | 10.1016/j.procs.2015.08.600 | |
| dc.identifier.uri | http://hdl.handle.net/10198/13196 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Alzheimer’s disease | pt_PT |
| dc.subject | Cepstrum | pt_PT |
| dc.subject | Wavelet transform | pt_PT |
| dc.subject | Electroencephalogram signals | pt_PT |
| dc.subject | Cesptral distances | pt_PT |
| dc.title | Electroencephalogram cepstral distances in alzheimer’s disease diagnosis | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 884 | pt_PT |
| oaire.citation.startPage | 879 | pt_PT |
| oaire.citation.title | ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS 2015 | pt_PT |
| oaire.citation.volume | 64 | pt_PT |
| person.familyName | Teixeira | |
| person.givenName | João Paulo | |
| person.identifier | 663194 | |
| person.identifier.ciencia-id | 4F15-B322-59B4 | |
| person.identifier.orcid | 0000-0002-6679-5702 | |
| person.identifier.rid | N-6576-2013 | |
| person.identifier.scopus-author-id | 57069567500 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 33f4af65-7ddf-46f0-8b44-a7470a8ba2bf | |
| relation.isAuthorOfPublication.latestForDiscovery | 33f4af65-7ddf-46f0-8b44-a7470a8ba2bf |
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