Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy
Author:
Funder
National Center for Medical Rehabilitation Research
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Rehabilitation
Link
http://link.springer.com/content/pdf/10.1186/s12984-018-0456-x.pdf
Reference42 articles.
1. Winter S, Autry A, Boyle C, Yeargin-Allsopp M. Trends in the prevalence of cerebral palsy in a population-based study. Pediatrics. 2002;110:1220–5.
2. Damiano DL. Activity, activity, activity: rethinking our physical therapy approach to cerebral palsy. Phys Ther. 2006;86:1534–40.
3. Verschuren O, Darrah J, Novak I, Ketelaar M, Wiart L. Health-enhancing physical activity in children with cerebral palsy: more of the same is not enough. Phys Ther. 2014;94:297–305.
4. Verschuren O, Peterson MD, Balemans ACJ, Hurvitz EA. Exercise and physical activity recommendations for people with cerebral palsy. Dev Med Child Neurol. 2016;58:798–808.
5. Bjornson KF, Belza B, Kartin D, Logsdon R, McLaughlin JF, Thompson E. The relationship of physical activity to health status and quality of life in cerebral palsy. Pediatr Am Phys Ther Assoc. 2008;20:247–53.
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