Classification of Alzheimer's disease from quadratic sample entropy of electroencephalogram
- Submitting institution
-
The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9014960_1
- Type
- D - Journal article
- DOI
-
10.1049/htl.2014.0106
- Title of journal
- Healthcare Technology Letters
- Article number
- -
- First page
- 70
- Volume
- 2
- Issue
- 3
- ISSN
- 2053-3713
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper represents the first time this advanced signal processing technique has been used to analyse brain changes in Alzheimer's disease. The paper won the prestigious IET William James Award for best paper published by a PhD student: https://communities.theiet.org/groups/blogpost/view/58/148/1911
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -