| Spontaneous movements as a prognostic tool of neurodevelopmental outcomes in preterm infants: a narrative review |
Hyun Iee Shin1 
, Myung Woo Park1
, Woo Hyung Lee2
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1Department of Rehabilitation Medicine, Chung-Ang University Hospital, Seoul, Korea
2Department of Rehabilitation Medicine Seoul National University Children’s Hospital, Seoul National University College of Medicine, Seoul, Korea |
Correspondence:
Woo Hyung Lee, Email: whlee909@snu.ac.kr
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Received: 9 October 2022 • Revised: 24 April 2023 • Accepted: 5 May 2023 |
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| Abstract |
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An estimated 15 million infants are born each year prematurely. Although the survival rate of preterm infants has increased with advances in perinatal and neonatal care, many of them still suffer from various complications. Since improving neurodevelopmental outcomes of preterm births are a crucial topic of interest, accurate evaluations should be preceded for the detection of high-risk infants for cerebral palsy. General movements are spontaneous movements involving the whole body as the expression of neural activity and can be an excellent biomarker of neural dysfunction caused by brain impairment in preterm infants. The predictive value of general movements with respect to cerebral palsy increases with continuous observation. Automated approaches for general movements based on machine learning can help to overcome the limited utilization of assessment tools due to their qualitative or semi-quantitative nature and high dependency on the skills and experience of the assessors. This review will cover each of these topics, from the summarization of normal and abnormal general movements to the recent advance of automatic approaches based on infantile spontaneous movements.
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| Key Words:
Cerebral palsy, General movements, Neurodevelopmental Disorders, Premature Birth |
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