Automated movement recognition to predict motor impairment in high‐risk infants: a systematic review of diagnostic test accuracy and meta‐analysis-Reference-Cited by-同舟云学术

Automated movement recognition to predict motor impairment in high‐risk infants: a systematic review of diagnostic test accuracy and meta‐analysis

Published:2021-01-09 Issue:6 Volume:63 Page:637-648
ISSN:0012-1622
Container-title:Developmental Medicine & Child Neurology
language:en
Short-container-title:Dev Med Child Neurol

Author:

Raghuram Kamini¹^ORCID,Orlandi Silvia²,Church Paige³,Chau Tom²,Uleryk Elizabeth⁴,Pechlivanoglou Petros⁵,Shah Vibhuti⁶

Affiliation:

1. Department of Neonatal‐Perinatal Medicine University of Toronto Toronto ONCanada

2. Bloorview Research Institute Holland Bloorview Kids Rehabilitation Hospital Toronto ONCanada

3. Department of Newborn and Developmental Paediatrics, Women and Babies’ Program Sunnybrook Health Sciences Centre Toronto ONCanada

4. The Hospital for Sick Children University of Toronto Libraries Toronto ONCanada

5. Child Health Evaluative Sciences The Hospital for Sick Children Research Institute The Hospital for Sick Children Toronto ONCanada

6. Department of Pediatrics Mount Sinai Hospital Toronto ON Canada

Funder

Health Canada

Publisher

Wiley

Subject

Neurology (clinical),Developmental Neuroscience,Pediatrics, Perinatology and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/dmcn.14800

Reference68 articles.

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3. Cerebral Palsy after Neonatal Encephalopathy: How Much Is Preventable?

4. Early identification and intervention in cerebral palsy

5. Effectiveness of motor interventions in infants with cerebral palsy: a systematic review

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