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Detection of Alzheimer’s Disease Electroencephalogram Temporal Events

Author

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  • Pedro Miguel Rodrigues

    (University of Porto, Porto, Portugal)

  • Diamantino Rui Freitas

    (University of Porto, Porto, Portugal)

  • João Paulo Teixeira

    (Polythecnic Institute of Bragança, Bragança, Portugal)

Abstract

Alzheimer’s Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder. The aging population has been increasing significantly in recent decades. Therefore, AD will continue to increase because the disease affects mainly the elderly. Its diagnostic accuracy is relatively low, and there is not a biomarker able to detect AD without invasive tests. The electroencephalogram (EEG) test is a widely available technology in clinical settings. It may help diagnosis of brain disorders, once it can be used in patients who have cognitive impairment involving a general decrease in overall brain function or in patients with a located deficit. This study is a new approach to detect EEG temporal events in order to improve the AD diagnosis. For that, K-means and Self-Organized Maps were used, and the results suggested that there are sequences of EEG energy variation that appear more frequently in AD patients than in healthy subjects.

Suggested Citation

  • Pedro Miguel Rodrigues & Diamantino Rui Freitas & João Paulo Teixeira, 2013. "Detection of Alzheimer’s Disease Electroencephalogram Temporal Events," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 2(3), pages 44-61, July.
    • Handle: RePEc:igg:jrqeh0:v:2:y:2013:i:3:p:44-61
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