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Output details

15 - General Engineering

University of Surrey

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Output 128 of 211 in the submission

Article title

Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease

Type

D - Journal article

DOI

10.1098/rsta.2008.0197

Title of journal

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Article number

Volume number

367

Issue number

1887

First page of article

317

ISSN of journal

1471-2962

Year of publication

2009

URL

Number of additional authors

Additional information

This invited paper is one contribution of 13 to a Theme Issue on ‘Signal processing in vital rhythms and signs’. It shows that non-linear analysis methods successfully characterise the subtle changes in the electroencephalograms and magnetoencephalograms in patients with Alzheimer’s disease (AD). Our ongoing work suggests that non-linear analysis techniques could be useful tools in the complex diagnosis of AD. Due to the ageing of the population in the UK and the high prevalence of AD, this research could have a huge societal impact.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract