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A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms.

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Title: A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms.
Authors: Haba, Rotem1, rotemhaba2910@gmail.com, Singer, Gonen1, Gonen.Singer@biu.ac.il, Naftali, Sara2, saran@afeka.ac.il, Kramer, Mordechai R.3, kramerm@clalit.org.il, Ratnovsky, Anat1,2, ratnovskya@afeka.ac.il
Source: Expert Systems with Applications; Aug2023, Vol. 223, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 163147487
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms.
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  Data: <searchLink fieldCode="JN" term="%22Expert+Systems+with+Applications%22">Expert Systems with Applications</searchLink>; Aug2023, Vol. 223, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163147487
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.eswa.2023.119799
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      – Code: eng
        Text: English
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      – TitleFull: A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms.
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            NameFull: Haba, Rotem
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            NameFull: Singer, Gonen
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            NameFull: Naftali, Sara
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            NameFull: Kramer, Mordechai R.
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            NameFull: Ratnovsky, Anat
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            – D: 01
              M: 08
              Text: Aug2023
              Type: published
              Y: 2023
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              Value: 223
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