Application of Artificial Intelligence in Infant Movement Classification: A Reliability and Validity Study in Infants Who Were Full-Term and Preterm.

Objective Preterm infants are at high risk of neuromotor disorders. Recent advances in digital technology and machine learning algorithms have enabled the tracking and recognition of anatomical key points of the human body. It remains unclear whether the proposed pose estimation model and the skelet...

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Publicado en:	PTJ: Physical Therapy & Rehabilitation Journal Vol. 104; no. 2; pp. 1 - 11
Autores principales:	Lin, Shiang-Chin, Chandra, Erick, Tsao, Po Nien, Liao, Wei-Chih, Chen, Wei-J, Yen, Ting-An, Hsu, Jane Yung-Jen, Jeng, Suh-Fang
Formato:	pictorial research tables/charts Journal Article
Publicado:	Oxford University Press / USA Feb2024
Acceso en línea:	Ver este registro en EBSCOhost