Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS Approach

Research article (IEEE Access, 2021) · cited 19× · AI/ML
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Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS Approach

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Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS Approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-classification-accuracy-of-transhumeral-prosthesis-a-hybrid-semg-and-fnirs-approach
MLA “Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-classification-accuracy-of-transhumeral-prosthesis-a-hybrid-semg-and-fnirs-approach.
BibTeX @misc{4ortxyz_enhancing-classification-accuracy-of-transhumeral-prosthesis-a-hybrid-semg-and-fnirs-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS Approach}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-classification-accuracy-of-transhumeral-prosthesis-a-hybrid-semg-and-fnirs-approach}, note = {Accessed: 2026-05-24}}
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