Opportunities and challenges of supervised machine learning for the classification of motor evoked p...
Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
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England: BioMed Central Ltd
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Language
English
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England: BioMed Central Ltd
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Even for an experienced neurophysiologist, it is challenging to look at a single graph of an unlabeled motor evoked potential (MEP) and identify the corresponding muscle. We demonstrate that supervised machine learning (ML) can successfully perform this task.
Intraoperative MEP data from supratentorial surgery on 36 patients was included for the...
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Full title
Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
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TN_cdi_doaj_primary_oai_doaj_org_article_f175fe0f8de94b0785ea80314a8bcb1d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f175fe0f8de94b0785ea80314a8bcb1d
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ISSN
1472-6947
E-ISSN
1472-6947
DOI
10.1186/s12911-023-02276-3
