Alzheimer electroencephalogram temporal events detection by K-means

Pedro Miguel Rodrigues; Diamantino Freitas; João Paulo Teixeira

doi:10.1016/j.protcy.2012.09.095

Alzheimer electroencephalogram temporal events detection by K-means

Pedro Miguel Rodrigues
, Diamantino Freitas
, João Paulo Teixeira^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

Alzheimer Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder. Its diagnostic accuracy is relatively low and there is not a biomarker able to detect AD without invasive tests. This study is a new approach to obtained electroencephalogram (EEG) temporal events in order to improve the AD diagnosis. For that, K-means were used and the results suggested that there are sequences of EEG energy variation that appear more frequently in AD patients than in Health subject.

Original language	English
Pages (from-to)	859-864
Number of pages	6
Journal	Procedia Technology
Volume	5
DOIs	https://doi.org/10.1016/j.protcy.2012.09.095
Publication status	Published - 2012
Externally published	Yes
Event	4th Conference on ENTERprise Information Systems/Int Conference on Health and Social Care Information Systems and Technologies - , Portugal Duration: 3 Oct 2012 → 5 Oct 2012

Keywords

Alzheimer disease
Electroencephalogram
Temporal events
Sequences
K-means

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10.1016/j.protcy.2012.09.095Licence: CC BY-NC-ND

Cite this

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title = "Alzheimer electroencephalogram temporal events detection by K-means",

abstract = "Alzheimer Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder. Its diagnostic accuracy is relatively low and there is not a biomarker able to detect AD without invasive tests. This study is a new approach to obtained electroencephalogram (EEG) temporal events in order to improve the AD diagnosis. For that, K-means were used and the results suggested that there are sequences of EEG energy variation that appear more frequently in AD patients than in Health subject. ",

keywords = "Alzheimer disease, Electroencephalogram, Temporal events, Sequences, K-means",

author = "Rodrigues, \{Pedro Miguel\} and Diamantino Freitas and Teixeira, \{Jo{\~a}o Paulo\}",

year = "2012",

doi = "10.1016/j.protcy.2012.09.095",

language = "English",

volume = "5",

pages = "859--864",

journal = "Procedia Technology",

publisher = "Elsevier",

note = "4th Conference on ENTERprise Information Systems/Int Conference on Health and Social Care Information Systems and Technologies ; Conference date: 03-10-2012 Through 05-10-2012",

}

TY - JOUR

T1 - Alzheimer electroencephalogram temporal events detection by K-means

AU - Rodrigues, Pedro Miguel

AU - Freitas, Diamantino

AU - Teixeira, João Paulo

PY - 2012

Y1 - 2012

N2 - Alzheimer Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder. Its diagnostic accuracy is relatively low and there is not a biomarker able to detect AD without invasive tests. This study is a new approach to obtained electroencephalogram (EEG) temporal events in order to improve the AD diagnosis. For that, K-means were used and the results suggested that there are sequences of EEG energy variation that appear more frequently in AD patients than in Health subject.

AB - Alzheimer Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder. Its diagnostic accuracy is relatively low and there is not a biomarker able to detect AD without invasive tests. This study is a new approach to obtained electroencephalogram (EEG) temporal events in order to improve the AD diagnosis. For that, K-means were used and the results suggested that there are sequences of EEG energy variation that appear more frequently in AD patients than in Health subject.

KW - Alzheimer disease

KW - Electroencephalogram

KW - Temporal events

KW - Sequences

KW - K-means

U2 - 10.1016/j.protcy.2012.09.095

DO - 10.1016/j.protcy.2012.09.095

M3 - Conference article

VL - 5

SP - 859

EP - 864

JO - Procedia Technology

JF - Procedia Technology

T2 - 4th Conference on ENTERprise Information Systems/Int Conference on Health and Social Care Information Systems and Technologies

Y2 - 3 October 2012 through 5 October 2012

ER -

Alzheimer electroencephalogram temporal events detection by K-means

Abstract

Keywords

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