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  "author": "R. N. Khushaba",
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  "author": "R. N. Khushaba",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1912.04218",
            
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  "doi": "10.57702/h6flq400",
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  "doi": "10.57702/h6flq400",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "S. Kodagoda",
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      "extra_author": "S. Kodagoda",
            
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    },
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      "extra_author": "D. Liu",
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      "extra_author": "D. Liu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "G. Dissanayake",
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      "extra_author": "G. Dissanayake",
            
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      "orcid": ""
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    }
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      "name": "electromyography",
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      "name": "electromyography",
            
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      "title": "Electromyography"
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      "title": "Electromyography"
            
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    {
            
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      "description": "",
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      "description": "",
            
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      "name": "feature-extraction",
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      "name": "feature-extraction",
            
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      "title": "Feature Extraction"
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      "title": "Feature Extraction"
            
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  "metadata_modified": "2024-12-16T19:46:52.169585",
            
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  "name": "emg-feature-reduction-dataset",
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  "name": "emg-feature-reduction-dataset",
            
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  "notes": "The dataset used in the EMG feature reduction experiment. 
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  "notes": "The dataset used in the EMG feature reduction experiment. 
            
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The dataset contains EMG signals from 8 subjects performing 12 classes 
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The dataset contains EMG signals from 8 subjects performing 12 classes 
            
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of \ufb01nger pressures and 2 classes of \ufb01nger pointing.",
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of \ufb01nger pressures and 2 classes of \ufb01nger pointing.",
            
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      "hash": "",
            
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      "name": "Electromyography",
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      "name": "Feature Extraction",
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    }
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  ],
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  "title": "EMG Feature Reduction Dataset",
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  "title": "EMG Feature Reduction Dataset",
            
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}