Deep learning empowered sensor fusion boosts infant movement classification

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: Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-024-00701-w
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https://doi.org/10.1038/s43856-024-00701-w

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