A new framework for classification of multi-category hand grasps using EMG signals

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Miften, FS ORCID: 0000-0002-3557-2194, Diykh, M, Abdullah, S, Siuly, Siuly ORCID: 0000-0003-2491-0546, Green, JH and Deo, Ravinesh C (2021) A new framework for classification of multi-category hand grasps using EMG signals. Artificial Intelligence in Medicine, 112. ISSN 0933-3657

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/42980
DOI https://doi.org/10.1016/j.artmed.2020.102005
Official URL https://www.sciencedirect.com/science/article/pii/...
Subjects Current > FOR (2020) Classification > 4003 Biomedical engineering
Current > FOR (2020) Classification > 4201 Allied health and rehabilitation science
Current > FOR (2020) Classification > 4602 Artificial intelligence
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords electromyogram; rehabilitation device; prosthetic hand; logarithmic spectrogram-based graph signal; AdaBoost k-means; feature selection
Citations in Scopus 10 - View on Scopus
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