Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Contr...
Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study
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Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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Noninvasive brain stimulation (NIBS) can boost motor recovery after a stroke. Certain movement phases are more responsive to NIBS, so a system that auto-detects these phases would optimize stimulation timing. This study assessed the effectiveness of various machine learning models in identifying movement phases in hemiparetic individuals undergoing...
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Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study
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TN_cdi_doaj_primary_oai_doaj_org_article_9b85f059b6c74780b1297c29afc9434d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9b85f059b6c74780b1297c29afc9434d
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ISSN
2076-3425
E-ISSN
2076-3425
DOI
10.3390/brainsci15010028
