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Output details

11 - Computer Science and Informatics

University of Bedfordshire

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Output 26 of 109 in the submission
Article title

Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms

Type
D - Journal article
Title of journal
Computational and Mathematical Methods in Medicine
Article number
-
Volume number
2012
Issue number
-
First page of article
1
ISSN of journal
1748-6718
Year of publication
2012
URL
-
Number of additional authors
2
Additional information

<13> This paper reports how the information recorded from sleeping newborns at risk of pathological brain development can be optimally used. Typical recording systems require a number of electrodes placed on the scalp and body of a newborn, which affect the newborn's sleep and being moved produce artefacts. The paper presents the experimental evidences that the information was optimised using the proposed method developed as part of a Leverhulme-funded project. As part a PhD thesis available via http://uobrep.openrepository.com/uobrep/handle/10547/293806, the work was short-listed for an award at the SET for Britain 2012, held at the House of Commons.

Interdisciplinary
-
Cross-referral requested
-
Research group
T - Centre for Research in Distributed Technologies
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-