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. |
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| 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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| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s26082386 |
