Surface Electromyographic Features for Severity Classification in Facial Palsy: Insights from a German Cohort and Implications for Future Biofeedback Use

dc.contributor.author	Manzoor, Ibrahim
dc.contributor.author	Popescu, Aryana
dc.contributor.author	Stark, Alexia
dc.contributor.author	Gorbachuk, Mykola
dc.contributor.author	Spolaore, Aldo
dc.contributor.author	Tatagiba, Marcos
dc.contributor.author	Naros, Georgios
dc.contributor.author	Machetanz, Kathrin
dc.date.accessioned	2025-10-14T08:55:32Z
dc.date.available	2025-10-14T08:55:32Z
dc.date.issued	2025
dc.identifier.issn	1424-8220
dc.identifier.uri	http://hdl.handle.net/10900/171032
dc.language.iso	en	de_DE
dc.publisher	Basel : Mdpi	de_DE
dc.relation.uri	http://dx.doi.org/10.3390/s25092949	de_DE
dc.subject.ddc	540	de_DE
dc.subject.ddc	600	de_DE
dc.title	Surface Electromyographic Features for Severity Classification in Facial Palsy: Insights from a German Cohort and Implications for Future Biofeedback Use	de_DE
dc.type	Article	de_DE
utue.quellen.id	20250630000000_00559
utue.personen.roh	Manzoor, Ibrahim
utue.personen.roh	Popescu, Aryana
utue.personen.roh	Stark, Alexia
utue.personen.roh	Gorbachuk, Mykola
utue.personen.roh	Spolaore, Aldo
utue.personen.roh	Tatagiba, Marcos
utue.personen.roh	Naros, Georgios
utue.personen.roh	Machetanz, Kathrin
dcterms.isPartOf.ZSTitelID	Sensors	de_DE
dcterms.isPartOf.ZS-Issue	Article 2949	de_DE
dcterms.isPartOf.ZS-Volume	25 (9)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE

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