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A robotic perturbation trainer for transverse-plane gait perturbations in pediatric cerebral palsy
Amna R Khawaja1, Daulet Sagidoldin2,3, Dilnoza Karibzhanova2,3
1Department of Physical Therapy, Athletic Training and Rehabilitation Science, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, USA.
Insights
This study introduces a robotic system for children with cerebral palsy (CP) to improve walking through controlled balance challenges. The novel approach uses a robotic trainer to deliver safe, progressive perturbations, enhancing functional mobility.
Area of Science:
- Robotics in Rehabilitation
- Neurorehabilitation Engineering
- Pediatric Physical Therapy
Background:
- Cerebral palsy (CP) significantly impacts motor function, affecting gait and balance in children.
- Current rehabilitation strategies often lack objective measures for assessing and training dynamic balance control.
- Robotic-assisted therapy offers potential for precise, repeatable, and adaptable interventions.
Purpose of the Study:
- To develop and implement a robotic perturbation-based training methodology for adolescents with CP.
- To assess the feasibility and preliminary effects of this novel training approach on functional mobility and muscle activation.
- To integrate robotic training with multimodal outcome assessments.
Main Methods:
- Development of a Robotic Perturbation Trainer (RPT) using a cable-driven parallel manipulator for controlled waist-pull perturbations.
- Implementation of a 5-week training protocol with progressive perturbation parameters and body-weight support during treadmill walking.
- Multimodal assessment including standardized functional mobility tests (6MWT, 10MWT, TUG, BBS, GMFM) and surface electromyography (sEMG) of hip abductor muscles.
Main Results:
- The RPT system successfully delivered controlled, multidirectional perturbations in the transverse plane during treadmill walking.
- Preliminary implementation in two adolescents with CP demonstrated feasibility of the 5-week protocol.
- Functional mobility and muscle activation patterns were evaluated using a comprehensive assessment framework.
Conclusions:
- The developed robotic perturbation methodology provides a novel, controlled approach for gait and balance training in children with CP.
- This system enables progressive, safe, and repeatable application of external disturbances, potentially improving motor control.
- Integration with multimodal assessments allows for objective evaluation of training effects on functional outcomes and neuromuscular activity.
Abstract:
This study describes the development and implementation of a robotic perturbation-based training methodology for children with cerebral palsy (CP). A Robotic Perturbation Trainer (RPT) was engineered to deliver controlled multidirectional waist-pull perturbations during treadmill walking. The system integrates a cable-driven parallel manipulator with a treadmill and body-weight support to enable safe and repeatable application of external disturbances in the transverse plane. The methodology was implemented in two adolescents with CP (ages 16-17; spastic diplegic and spastic dyskinetic subtypes) using a 5-week protocol consisting of ten treadmill-based sessions. Training parameters, including perturbation magnitude (65-85 N) and treadmill speed (0.2-0.5 km/h), were progressively adjusted according to predefined ranges. A multimodal assessment framework was applied at baseline, mid-, and post-implementation stages. Functional mobility and balance were evaluated using standardized outcome measures (6-Minute Walk Test, 10-Meter Walk Test, Timed Up and Go Test, Berg Balance Scale, and Gross Motor Function Measure), and surface electromyography was used to quantify activation of the gluteus maximus and medius muscles. The proposed methodology: Delivers controlled transverse-plane perturbations during treadmill walking using a cable-driven robotic system Applies a structured, progressive perturbation training protocol under body-weight support conditions Integrates clinical assessment tools with EMG-based muscle activity analysis for multimodal evaluation.
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