https://scholars.lib.ntu.edu.tw/handle/123456789/639803
標題: | Application of Artificial Intelligence in Infant Movement Classification: A Reliability and Validity Study in Infants Who Were Full-Term and Preterm | 作者: | Lin, Shiang-Chin Chandra, Erick PO-NIEN TSAO Liao, Wei-Chih WEI J. CHEN TING-AN YEN Hsu, Jane Yung-Jen SUH-FANG JENG |
關鍵字: | Artificial Intelligence; Assessment; Machine Learning; Motor Development | 公開日期: | 1-二月-2024 | 卷: | 104 | 期: | 2 | 來源出版物: | Physical therapy | 摘要: | 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 skeleton-based action recognition model for adult movement classification are applicable and accurate for infant motor assessment. Therefore, this study aimed to develop and validate an artificial intelligence (AI) model framework for movement recognition in full-term and preterm infants. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/639803 | ISSN: | 00319023 | DOI: | 10.1093/ptj/pzad176 |
顯示於: | 物理治療學系所 |
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