Deep learning empowered sensor fusion boosts infant movement classification
Abstract Background To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments in early infancy. GMA has been increasingly augmented through machine learning approaches intending...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
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| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-024-00701-w |
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