Machine learning based classification of intraoperative EMG signals recorded during brain tumor surgeries: a pooled data approach for large-scale analysis and real-time applications.

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Title: Machine learning based classification of intraoperative EMG signals recorded during brain tumor surgeries: a pooled data approach for large-scale analysis and real-time applications.
Authors: Çil, Ahmet1 (AUTHOR) ahmetcil@ktu.edu.tr, Aydın, Enes Halit1 (AUTHOR), Aydemir, Önder1 (AUTHOR)
Source: Computer Methods in Biomechanics & Biomedical Engineering. May2026, p1-11. 11p. 7 Illustrations.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Computer+Methods+in+Biomechanics+%26+Biomedical+Engineering%22">Computer Methods in Biomechanics & Biomedical Engineering</searchLink>. May2026, p1-11. 11p. 7 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193676768
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10255842.2026.2670517
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1
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      – TitleFull: Machine learning based classification of intraoperative EMG signals recorded during brain tumor surgeries: a pooled data approach for large-scale analysis and real-time applications.
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            NameFull: Aydın, Enes Halit
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            – D: 08
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              Text: May2026
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              Y: 2026
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