Electroencephalogram background activity characterization with approximate entropy and auto mutual information in Alzheimer's disease patients

Daniel Abasolo*, Roberto Hornero, Pedro Espino, Javier Escudero, Carlos Gomez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The aim of this study was to analyze the electroencephalogram (EEG) background activity in Alzheimer's disease (AD) with two non-linear methods: Approximate Entropy (ApEn) and Auto Mutual Information (AMI). ApEn quantifies the regularity in data, while AMI detects linear and non-linear dependencies in time series. EEGs were recorded from the 19 scalp loci of the international 10-20 system in 11 AD patients and 11 age-matched controls. ApEn was significantly lower in AD patients at electrodes 01, 02, P3 and P4 (p <0.01). The AMI of the AD patients decreased significantly more slowly with time delays than the AMI of normal controls at electrodes T5, T6, 01, 02, P3 and P4 (p <0.01). Furthermore, we observed a strong correlation between the results obtained with both non-linear methods, suggesting that the AMI rate of decrease can be used to estimate the regularity in time series. The decreased irregularity found in AD patients suggests that EEG analysis with ApEn and AMI could help to increase our insight into brain dysfunction in AD.

Original languageEnglish
Title of host publication2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages6192-6195
Number of pages4
ISBN (Print)978-1-4244-0787-3
Publication statusPublished - 2007
Event29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Lyon, France
Duration: 22 Aug 200726 Aug 2007

Publication series

NamePROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
PublisherIEEE
ISSN (Print)1094-687X

Conference

Conference29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/TerritoryFrance
CityLyon
Period22/08/0726/08/07

Keywords / Materials (for Non-textual outputs)

  • TIME-SERIES
  • EEG
  • REGULARITY
  • ANESTHESIA

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