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Deep learning-based quantitative analyses of spontaneous movements and their association with early neurological development in preterm infants

This study aimed to develop quantitative assessments of spontaneous movements in high-risk preterm infants based on a deep learning algorithm. Video images of spontaneous movements were recorded in very preterm infants at the term-equivalent age. The Hammersmith Infant Neurological Examination (HINE...

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Detalles Bibliográficos
Autores principales:	Shin, Hyun Iee, Shin, Hyung-Ik, Bang, Moon Suk, Kim, Don-Kyu, Shin, Seung Han, Kim, Ee-Kyung, Kim, Yoo-Jin, Lee, Eun Sun, Park, Seul Gi, Ji, Hye Min, Lee, Woo Hyung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873498/ https://www.ncbi.nlm.nih.gov/pubmed/35210507 http://dx.doi.org/10.1038/s41598-022-07139-x

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