Classification of sEMG Biomedical Signals for Upper-Limb Rehabilitation Using the Random Forest Method

Research article (2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET), 2022) · cited 14× · AI/ML
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Classification of sEMG Biomedical Signals for Upper-Limb Rehabilitation Using the Random Forest Method

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Classification of sEMG Biomedical Signals for Upper-Limb Rehabilitation Using the Random Forest Method is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Classification of sEMG Biomedical Signals for Upper-Limb Rehabilitation Using the Random Forest Method. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-semg-biomedical-signals-for-upper-limb-rehabilitation-using-the-random-forest-method
MLA “Classification of sEMG Biomedical Signals for Upper-Limb Rehabilitation Using the Random Forest Method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-semg-biomedical-signals-for-upper-limb-rehabilitation-using-the-random-forest-method.
BibTeX @misc{4ortxyz_classification-of-semg-biomedical-signals-for-upper-limb-rehabilitation-using-the-random-forest-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of sEMG Biomedical Signals for Upper-Limb Rehabilitation Using the Random Forest Method}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-semg-biomedical-signals-for-upper-limb-rehabilitation-using-the-random-forest-method}, note = {Accessed: 2026-05-24}}
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