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Precise Rehabilitation Strategies for Functional Impairment in Children with Cerebral Palsy

Yaojin Sun1, Nan Jiang1,*, Min Zhu1, Hao Hua2

1 Department of Rehabilitation Medicine, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
2 SKEMA Business School, Lille, 59777, France

* Corresponding Author: Nan Jiang. Email:

Intelligent Automation & Soft Computing 2023, 36(3), 3191-3202.


This paper explores the effect of precise rehabilitation strategies under the international classification of functioning, disability and health for children and youth (ICF-CY) on the motor function of children with cerebral palsy. Under the framework of ICF-CY, the observation team is designed and evaluated from physical functions, activities and participation, environmental factors, and develops individualized rehabilitation strategies that are tailored to individual characteristics. The control group was assessed by traditional methods and treatment plans and measures were formulated and guided. The course of treatment was 12 months. The scores of GMFM-88, Peabody Motor Development Scale-2concluding fine motor quotient (PDMS-FM), WeeFIM and the ability of daily living (ADL) scale (Barthel index, BI) score were compared before and after treatment. The research shows that precise rehabilitation strategy mode for children with cerebral palsy under the ICF-CY framework can effectively improve the motor function and the ability of daily living (ADL) in children with cerebral palsy. Rehabilitation evaluation and treatment mode of children with cerebral palsy under ICF-CY framework can effectively improve the gross motor function of children with cerebral palsy. Individualized evaluation and analysis and guidance of comprehensive rehabilitation treatment have certain advantages. The overall treatment effect is better than that of traditional rehabilitation evaluation.


Cite This Article

Y. Sun, N. Jiang, M. Zhu and H. Hua, "Precise rehabilitation strategies for functional impairment in children with cerebral palsy," Intelligent Automation & Soft Computing, vol. 36, no.3, pp. 3191–3202, 2023.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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