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NLR, MLP, SVM, and LDA: a comparative analysis on EMG data from people with trans-radial amputation
BACKGROUND: Currently, the typically adopted hand prosthesis surface electromyography (sEMG) control strategies do not provide the users with a natural control feeling and do not exploit all the potential of commercially available multi-fingered hand prostheses. Pattern recognition and machine learn...
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| 出版年: | J Neuroeng Rehabil |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5557564/ https://ncbi.nlm.nih.gov/pubmed/28807038 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12984-017-0290-6 |
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