# Evaluation of Static Balance in Children with Cerebral Palsy Using an Innovative Image Processing Software

## TL;DR

A new image processing software was developed to assess balance in children with cerebral palsy, offering a low-cost alternative to traditional methods.

## Contribution

The study introduces a novel, portable image-based software for evaluating static balance in children with CP.

## Key findings

- The software showed moderate to strong correlations with force platform measurements in most conditions.
- It is a valid, low-cost alternative for static balance assessment in children with CP.
- Correlations were weaker in more challenging balance scenarios but still significant.

## Abstract

Background: Impaired balance is one of the most common and functionally limiting problems in children with cerebral palsy (CP), significantly affecting their motor abilities and quality of life. Although force platforms are considered the gold standard for evaluating postural stability, they are often costly, non-portable, and require specialized laboratory environments, limiting their accessibility in routine clinical settings. Objective: This study aimed to develop a novel software program based on image processing techniques to assess static balance in children with CP and to evaluate its validity against traditional force platform measurements. Methods: A total of 83 children aged 5–15 years (63 with CP, GMFCS levels I–II; 20 healthy controls) participated. Static balance was assessed under four different standing conditions using both a force platform and a newly developed video-based software tool. The software utilized the frame difference method to detect center of mass movements, and parameters such as velocity and total displacement were calculated. Correlation analyses were conducted between the image processing and force platform data. Results: The software demonstrated moderate to strong positive correlations with force platform parameters in the majority of test conditions, particularly when participants stood with eyes open. In more challenging balance scenarios (e.g., eyes closed, feet together), correlations were weaker but still significant. Conclusions: The findings suggest that this image-based software is a valid, low-cost, and portable alternative for static balance assessment in children with CP. It has the potential for use in diverse clinical or home settings, supporting individualized rehabilitation strategies.