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Remote sensing of physiological signs using a machine vision system.

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Bibliographic Details
Title: Remote sensing of physiological signs using a machine vision system.
Authors: Al-Naji, Ali1,2, ali_abdulelah_noori.al-naji@mymail.unisa.edu.au, Gibson, Kim3, Chahl, Javaan1,4
Source: Journal of Medical Engineering & Technology; Jul2017, Vol. 41 Issue 5, p396-405, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 123603443
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/03091902.2017.1313326
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 396
    Titles:
      – TitleFull: Remote sensing of physiological signs using a machine vision system.
        Type: main
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            NameFull: Al-Naji, Ali
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            NameFull: Gibson, Kim
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            NameFull: Chahl, Javaan
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          Dates:
            – D: 01
              M: 07
              Text: Jul2017
              Type: published
              Y: 2017
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              Value: 41
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            – TitleFull: Journal of Medical Engineering & Technology
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