Machine learning to quantify habitual physical activity in children with cerebral palsy-Reference-Cited by-同舟云学术

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Machine learning to quantify habitual physical activity in children with cerebral palsy

Published:2020-05-18 Issue:9 Volume:62 Page:1054-1060
ISSN:0012-1622
Container-title:Developmental Medicine & Child Neurology
language:en
Short-container-title:Dev Med Child Neurol

Author:

Goodlich Benjamin I¹^ORCID,Armstrong Ellen L¹²^ORCID,Horan Sean A¹^ORCID,Baque Emmah¹,Carty Christopher P¹²,Ahmadi Matthew N³,Trost Stewart G²³

Affiliation:

1. School of Allied Health Sciences Griffith University Gold Coast Queensland Australia

2. Centre for Children's Health Research Brisbane Queensland Australia

3. Institute of Health and Biomedical Innovation Queensland University of Technology Brisbane Queensland Australia

Publisher

Wiley

Subject

Clinical Neurology,Developmental Neuroscience,Pediatrics, Perinatology, and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/dmcn.14560

Reference30 articles.

1. Differences in habitual physical activity levels of young people with cerebral palsy and their typically developing peers: a systematic review

2. Physical and sedentary activity in adolescents with cerebral palsy

3. Exercise and physical activity recommendations for people with cerebral palsy

4. Stability and decline in gross motor function among children and youth with cerebral palsy aged 2 to 21 years

5. Health-Enhancing Physical Activity in Children With Cerebral Palsy: More of the Same Is Not Enough

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1. Subjective measurement of physical activity and sedentary behaviour in children and adolescents with cerebral palsy: a scoping review;Disability and Rehabilitation;2024-09-12

2. Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study;Human Behavior and Emerging Technologies;2024-05-28

3. Measuring Physical Activity in Children Who Do Not Walk and With Cerebral Palsy: An Exploratory Case Series;Pediatric Physical Therapy;2024-05-16

4. Emerging methods for measuring physical activity using accelerometry in children and adolescents with neuromotor disorders: a narrative review;Journal of NeuroEngineering and Rehabilitation;2024-02-29

5. Accuracy of Sensor-Based Measurement of Clinically Relevant Motor Activities in Daily Life of Children With Mobility Impairments;Archives of Physical Medicine and Rehabilitation;2024-01

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