Alzheimer’s early prediction with electroencephalogram

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Pedro Miguel
Data de Publicação: 2016
Outros Autores: Teixeira, João Paulo, Garrett, Carolina, Alves, Dílio, Freitas, Diamantino Silva
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/16949
Resumo: Alzheimer's disease (AD) is currently an incurable illness that causes dementia and patienfs condition is progressively worse and it represents one ofthe greatest public health challenges worldwide. The main objective ofthis work was to develop a classificatiwmethodology for EEG signals to improve discrimination amongst patients at varying stages ofthe illness, Mitd Cognitive Impairment (MCI) patients and non-patients either in order to obtain a more reliable methodology to identify AD in early stages.
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spelling Alzheimer’s early prediction with electroencephalogramAlzheimer diaseaseEarly stagesElectroencephalogram signalSurrogate decision tree classifierAlzheimer's disease (AD) is currently an incurable illness that causes dementia and patienfs condition is progressively worse and it represents one ofthe greatest public health challenges worldwide. The main objective ofthis work was to develop a classificatiwmethodology for EEG signals to improve discrimination amongst patients at varying stages ofthe illness, Mitd Cognitive Impairment (MCI) patients and non-patients either in order to obtain a more reliable methodology to identify AD in early stages.Biblioteca Digital do IPBRodrigues, Pedro MiguelTeixeira, João PauloGarrett, CarolinaAlves, DílioFreitas, Diamantino Silva2018-04-10T14:46:10Z20162016-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/16949engRodrigues, Pedro Miguel; Teixeira, João Paulo; Garrett, Carolina; Alves, Dílio; Freitas, Diamantino (2016). Alzheimer's Early Prediction with Electroencephalogram. In International Conference on Enterprise Information Systems/International Conference on Project Management/International Conference on Health and Social Care Information Systems and Technologies, Centeris/Projman - HCIST 2016. Portoinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:06:51Zoai:bibliotecadigital.ipb.pt:10198/16949Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:33:30.629193Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Alzheimer’s early prediction with electroencephalogram
title Alzheimer’s early prediction with electroencephalogram
spellingShingle Alzheimer’s early prediction with electroencephalogram
Rodrigues, Pedro Miguel
Alzheimer diasease
Early stages
Electroencephalogram signal
Surrogate decision tree classifier
title_short Alzheimer’s early prediction with electroencephalogram
title_full Alzheimer’s early prediction with electroencephalogram
title_fullStr Alzheimer’s early prediction with electroencephalogram
title_full_unstemmed Alzheimer’s early prediction with electroencephalogram
title_sort Alzheimer’s early prediction with electroencephalogram
author Rodrigues, Pedro Miguel
author_facet Rodrigues, Pedro Miguel
Teixeira, João Paulo
Garrett, Carolina
Alves, Dílio
Freitas, Diamantino Silva
author_role author
author2 Teixeira, João Paulo
Garrett, Carolina
Alves, Dílio
Freitas, Diamantino Silva
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Rodrigues, Pedro Miguel
Teixeira, João Paulo
Garrett, Carolina
Alves, Dílio
Freitas, Diamantino Silva
dc.subject.por.fl_str_mv Alzheimer diasease
Early stages
Electroencephalogram signal
Surrogate decision tree classifier
topic Alzheimer diasease
Early stages
Electroencephalogram signal
Surrogate decision tree classifier
description Alzheimer's disease (AD) is currently an incurable illness that causes dementia and patienfs condition is progressively worse and it represents one ofthe greatest public health challenges worldwide. The main objective ofthis work was to develop a classificatiwmethodology for EEG signals to improve discrimination amongst patients at varying stages ofthe illness, Mitd Cognitive Impairment (MCI) patients and non-patients either in order to obtain a more reliable methodology to identify AD in early stages.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2018-04-10T14:46:10Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/16949
url http://hdl.handle.net/10198/16949
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Rodrigues, Pedro Miguel; Teixeira, João Paulo; Garrett, Carolina; Alves, Dílio; Freitas, Diamantino (2016). Alzheimer's Early Prediction with Electroencephalogram. In International Conference on Enterprise Information Systems/International Conference on Project Management/International Conference on Health and Social Care Information Systems and Technologies, Centeris/Projman - HCIST 2016. Porto
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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