Permutation entropy improves fetal behavioural state classification based on heart rate analysis from biomagnetic recordings in near term fetuses.

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Title: Permutation entropy improves fetal behavioural state classification based on heart rate analysis from biomagnetic recordings in near term fetuses.
Authors: Frank, B.1, birgit.frank@mti.uni-jena.de, Pompe, B.2, Schneider, U.3, Hoyer, D.1
Source: Medical & Biological Engineering & Computing; Mar2006, Vol. 44 Issue 3, p179-187, 9p, 1 Diagram, 4 Charts, 3 Graphs
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 21909083
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Mar2006, Vol. 44 Issue 3, p179-187, 9p, 1 Diagram, 4 Charts, 3 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=21909083
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      – Type: doi
        Value: 10.1007/s11517-005-0015-z
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      – Code: eng
        Text: English
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        StartPage: 179
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      – TitleFull: Permutation entropy improves fetal behavioural state classification based on heart rate analysis from biomagnetic recordings in near term fetuses.
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            NameFull: Frank, B.
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            NameFull: Pompe, B.
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            NameFull: Schneider, U.
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              Text: Mar2006
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              Y: 2006
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              Value: 44
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