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Assessing the Resilience of sEMG Classifiers to Sensor Malfunction and Signal Saturation.

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Title: Assessing the Resilience of sEMG Classifiers to Sensor Malfunction and Signal Saturation.
Authors: Zhang C; School of Computing, Mathematics and Physics, University of Portsmouth, Portsmouth PO1 3HE, UK., Zhou D; School of Computing, Mathematics and Physics, University of Portsmouth, Portsmouth PO1 3HE, UK., Fang Y; School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310005, China., Gao D; School of Computing, Mathematics and Physics, University of Portsmouth, Portsmouth PO1 3HE, UK., Ju Z; School of Computing, Mathematics and Physics, University of Portsmouth, Portsmouth PO1 3HE, UK.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Apr 13; Vol. 26 (8). Date of Electronic Publication: 2026 Apr 13.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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