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Supervised learning applied to electrocardiogram statistical features for the detection of premature ventricular contraction.

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Title: Supervised learning applied to electrocardiogram statistical features for the detection of premature ventricular contraction.
Authors: Issa, Khouloud1 (AUTHOR), Rammal, Abbas2,3 (AUTHOR), Assaf, Rabih4 (AUTHOR) rabihassaf@usek.edu.lb, Ghandour, Ahmad5 (AUTHOR)
Source: Research on Biomedical Engineering. Mar2025, Vol. 41 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: Supervised learning applied to electrocardiogram statistical features for the detection of premature ventricular contraction.
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  Data: <searchLink fieldCode="JN" term="%22Research+on+Biomedical+Engineering%22">Research on Biomedical Engineering</searchLink>. Mar2025, Vol. 41 Issue 1, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182207803
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s42600-024-00399-8
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      – Code: eng
        Text: English
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      – TitleFull: Supervised learning applied to electrocardiogram statistical features for the detection of premature ventricular contraction.
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            NameFull: Issa, Khouloud
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            NameFull: Rammal, Abbas
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            NameFull: Assaf, Rabih
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              Text: Mar2025
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              Y: 2025
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              Value: 41
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