A Novel Model to Generate Heterogeneous and Realistic Time-Series Data for Post-Stroke Rehabilitation Assessment
The application of machine learning-based tele-rehabilitation faces the challenge of limited availability of data. To overcome this challenge, data augmentation techniques are commonly employed to generate synthetic data that reflect the configurations of real data. One such promising data augmentat...
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Main Authors: | , , , , , , , |
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Format: | Book |
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IEEE,
2023-01-01T00:00:00Z.
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A1234.567 |
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