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Spectral Distance for ARMA Models Applied to Electroencephalogram for Early Detection of Hypoxia.
Löfgren, N.
Lindecrantz, Kaj
University of Borås, School of Engineering.
ORCID iD:
0000-0003-4853-7731
Flisberg, A.
Bågenholm, R.
Kjellmer, I.
Thordstein, M.
Show others and affiliations
2006 (English)
In:
Journal of Neural Engineering, ISSN 1741-2560, E-ISSN 1741-2552, Vol. 3, no 3, p. 227-234
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2006. Vol. 3, no 3, p. 227-234
Keywords [en]
signal processing, spectral estimation, identification, EEG, hypoxia, Medicinteknik
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN:
urn:nbn:se:hb:diva-2357
Local ID: 2320/3135
OAI: oai:DiVA.org:hb-2357
DiVA, id:
diva2:870448
Available from:
2015-11-13
Created:
2015-11-13
Last updated:
2017-11-11
Bibliographically approved
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Lindecrantz, Kaj
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apa
ieee
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vancouver
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harvard-cite-them-right
apa
ieee
modern-language-association-8th-edition
vancouver
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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en-GB
en-US
fi-FI
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text
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