Electroencephalogram Cepstral Distances in Alzheimer's Disease Diagnosis

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Rodrigues, PM (Autor) Outra; Freitas, D (Autor) Outra; Teixeira, JP (Autor) Outra

Ata de Conferência Internacional

Título: CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015

Páginas: 879-884

Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist)

Vilamoura, PORTUGAL, OCT 07-09, 2015

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00K-D43

DOI: 10.1016/j.procs.2015.08.600

Abstract (EN): Alzheimer's disease (AD) represents one of the greatest public health challenges worldwide nowadays, because it affects millions of people all over 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 order to achieve a better differentiation between 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/spectrum methodologies in previous studies. The most important significance figures were found in cepstral distances between cepstrums of theta and alpha bands (p=0.00006<0.05). (C) 2015 The Authors. Published by Elsevier B.V.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6