1 resultado para Disease Management
em Instituto Politécnico de Bragança
Filtro por publicador
- Repository Napier (4)
- Aberdeen University (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- Aquatic Commons (17)
- Aston University Research Archive (24)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (22)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Bioline International (6)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (110)
- Boston University Digital Common (1)
- Brock University, Canada (1)
- CentAUR: Central Archive University of Reading - UK (27)
- Centro Hospitalar do Porto (3)
- Cochin University of Science & Technology (CUSAT), India (4)
- CORA - Cork Open Research Archive - University College Cork - Ireland (5)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (3)
- Deakin Research Online - Australia (171)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (6)
- Digital Repository at Iowa State University (2)
- DigitalCommons@The Texas Medical Center (17)
- DigitalCommons@University of Nebraska - Lincoln (7)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (12)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (62)
- FUNDAJ - Fundação Joaquim Nabuco (2)
- Glasgow Theses Service (4)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (8)
- Hospitais da Universidade de Coimbra (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (2)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico de Viseu (1)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (67)
- Queensland University of Technology - ePrints Archive (121)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- RDBU - Repositório Digital da Biblioteca da Unisinos (2)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Escola Superior de Enfermagem de Coimbra (1)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (3)
- Repositorio Institucional da UFLA (RIUFLA) (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (34)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- Scielo España (1)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (10)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universidade Técnica de Lisboa (1)
- Universita di Parma (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (17)
- Université de Montréal, Canada (4)
- University of Connecticut - USA (3)
- University of Michigan (13)
- University of Queensland eSpace - Australia (46)
- Worcester Research and Publications - Worcester Research and Publications - UK (3)
Resumo:
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).