- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05759182
The Effects of Exoskeletal Robot-Assisted Gait Training on Children With Cerebral Palsy: A Pilot Study
The Effects of Exoskeletal Robot-Assisted Gait Training on Children With Cerebral Palsy: An Open-label, Pre-Post Comparison Pilot Study
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Cerebral Palsy(CP) is a complex disorder caused by brain lesions that affect muscle tone, posture, movement, and gait. It is a neurodevelopmental, non-progressive disease caused by brain injury before the age of 3(1). The damaged brain results in persistent disability throughout childhood and beyond.
Cerebral Palsy is characterized by motor impairment that results in decreased muscle strength in certain muscles, causing muscle weakness, stiffness, contractures, and fatigue(2, 3). These features lead to decreased coordination between the muscles required to perform motor skills, which prevents the heel strike during gait(4), resulting in decreased motor control of body segments, decreased stride length, and increased gait instability, all of which contribute to poor gait quality(5, 6). Gait training, one of the main rehabilitation goals to improve the quality of life for children with Cerebral Palsy, aims to improve standing, walking, running, and hopping motor skills to help them live independently(7, 8).
Various types of robotic gait training devices have been developed to treat children with Cerebral Palsy. They are categorized into two types, exoskeleton and end-effector, depending on their principle of operation. The exoskeleton type moves joints such as hip, knee, and ankle joints to match the gait cycle. On the other hand, the end-effector type moves the foot by moving the footplate on which the body is supported(9).
Robot-assisted gait training (RAGT), an emerging area of rehabilitation, was initially developed for adults using driven gait orthoses (DGOs)(10, 11). Since the 21st century, several studies have reported that robot-assisted gait training improves walking performance in people with stroke or spinal cord injury. One systematic literature review reported that it is effective for the above conditions, but there is insufficient evidence for traumatic brain injury or Parkinson's disease(12, 13).
The robotic gait training device Lokomat (Hocoma, AG, Volketswil, Switzerland) has released a pediatric version of the gait training robot(14-16) to start gait training for children around four years of age. The usability of robotic gait training has been tested in the neurorehabilitation of pediatric diseases over the past several years. It was recently found that robotic gait training is a safe intervention method for children(17, 18). However, there is currently a significant lack of evidence regarding the clinical effectiveness of robotic gait training for various pediatric patient populations.
A recent study conducted at a university hospital reported improvements in gross motor function, gait speed, and endurance with reduced energy expenditure following robotic gait training (Angel-legs, ANGEL ROBOTICS Co., Ltd., Seoul, Korea) for three children with cerebral palsy (ages 9, 13, and 16). Additionally, for two children with ataxic cerebral palsy (ages 11 and 12), combining conventional intensive rehabilitation therapy with robotic gait training led to reported improvements in gross motor function, functional balance, and walking ability(20).
However, there is still a lack of evidence on robotic gait training for various pediatric diseases, and no studies have been conducted to demonstrate its effectiveness through various evaluations. Therefore, we aimed to investigate the effects of exoskeleton robotic gait training on activities of daily living, gross motor function assessment, balance, and walking ability in adolescents with Cerebral Palsy.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Seoul
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Seongdong, Seoul, Korea, Republic of, 04763
- Hanyang University Seoul Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Description
[Inclusion Criteria]
- Patients with spastic cerebral palsy aged between 3 and 18 years.
- Patients with gait disturbances due to lower limb weakness.
[Exclusion Criteria]
- Patients unable to understand and follow instructions.
- Patients with severe lower limb spasticity scoring 3 or higher on the Modified Ashworth Scale.
- Patients with severe gait disorders, scoring at or below Level 1 on the Functional Ambulation Category (FAC).
- Patients with lower limb contractures, deformities, skin issues, neurological comorbidities other than cerebral palsy, or cardiovascular and other medical issues that may affect the ability to wear and walk with a robotic exoskeleton device.
- Patients who refuse to participate in the study.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Device Feasibility
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Bambini Teens Training
Ten participants will complete 30-minute sessions twice a week over six weeks, totalling 12 interventions.
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A trained medical professional will adjust the exoskeleton to fit each participant and tailor the program(sit to stand, stand to sit, standing balance and weight shift, walk in place, walk forward) according to their physical condition and specific needs.
Based on each participant's walking ability, appropriate safety devices (such as crutches, canes, or a harness) will be used during the intervention.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of Participants with Improved Physical Activity
Time Frame: From enrollment to the end of treatment at 6 weeks
|
Estimates energy expenditure by measuring multi-directional physical movement acceleration using the wGT3X-BT accelerometer (ActiGraph LLC, Pensacola, FL, USA).
The count values from the accelerometer are applied to a developed estimation formula to calculate energy expenditure.
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From enrollment to the end of treatment at 6 weeks
|
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Score on Gross Motor Function Measure (GMFM)
Time Frame: From enrollment to the end of treatment at 6 weeks
|
A standardized outcome measure of overall motor function, widely used to assess changes in motor function over time in children with cerebral palsy.
It evaluates five areas (A: lying and rolling; B: sitting; C: crawling and kneeling; D: standing; and E: walking, running, and jumping).
The summed scores for each area are recorded as a percentage, demonstrating proven reliability and validity.
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From enrollment to the end of treatment at 6 weeks
|
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Classification Level on Gross Motor Function Classification System (GMFCS)
Time Frame: From enrollment to the end of treatment at 6 weeks
|
The most widely used tool to assess the levels of movement that children with cerebral palsy can perform in daily life.
It is a 5-level scale, where Level 1 indicates independent and functional movement, while Level 5 requires significant support, assistive devices, and caregiver assistance.
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From enrollment to the end of treatment at 6 weeks
|
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Time to Complete the Timed Up and Go Test (TUG)
Time Frame: From enrollment to the end of treatment at 6 weeks
|
A reliable and practical tool for measuring basic functional mobility.
The TUG test has demonstrated reliability as an assessment method for functional movement.
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From enrollment to the end of treatment at 6 weeks
|
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Distance Covered in the Six-Minute Walk Test (6MWT)
Time Frame: From enrollment to the end of treatment at 6 weeks
|
An objective measure of exercise capacity, assessing the maximum distance an individual can walk on a flat surface in six minutes.
This test is standardized in its procedures and measurements, providing a comprehensive assessment of physical capability.
|
From enrollment to the end of treatment at 6 weeks
|
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Score on Pediatric Evaluation of Disability Inventory (PEDI)
Time Frame: From enrollment to the end of treatment at 6 weeks
|
Developed by Haley et al. in 1992, PEDI assesses the functional status of infants and children aged 6 months to 7.5 years with disabilities.
It is a standardized criterion-referenced tool with established reliability (ICC = 0.96-0.99)
and validity, useful for clinical evaluation, monitoring progress, documenting functional improvements, and supporting clinical decision-making.
|
From enrollment to the end of treatment at 6 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Score on Korean Version of Cerebral Palsy Quality of Life Questionnaire (K-CP-Qol)
Time Frame: From enrollment to the end of treatment at 6 weeks
|
A tool to assess the quality of life specifically for individuals with cerebral palsy, adapted to the Korean population for culturally relevant evaluation.
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From enrollment to the end of treatment at 6 weeks
|
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Assessment on Skin Condition Changes
Time Frame: From enrollment to the end of treatment at 6 weeks
|
Evaluates overall skin condition, checking for bruising, swelling, erythema, and edema to monitor skin health and detect any abnormalities.
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From enrollment to the end of treatment at 6 weeks
|
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Level of Spasticity Assessment
Time Frame: From enrollment to the end of treatment at 6 weeks
|
Employs the Modified Ashworth Scale (MAS) to evaluate the level of muscle spasticity, a common condition in individuals with cerebral palsy.
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From enrollment to the end of treatment at 6 weeks
|
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Risk Analysis - Adverse Event Incidence Rate
Time Frame: From enrollment to the end of treatment at 6 weeks
|
Records instances of falls and malfunctions or errors of robotic walking devices, assessing the associated risks to ensure safety.
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From enrollment to the end of treatment at 6 weeks
|
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Rate of change in pain level
Time Frame: From enrollment to the end of treatment at 6 weeks
|
Uses the Wong-Baker Face Pain Rating Scale (FPRS) to measure and rate pain levels based on facial expressions, providing a reliable method for pain assessment.
|
From enrollment to the end of treatment at 6 weeks
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Kyuhoon Lee, M.D., Department of Rehabilitation Medicine, Hanyang University Seoul Hospital
Publications and helpful links
General Publications
- Colombo G, Joerg M, Schreier R, Dietz V. Treadmill training of paraplegic patients using a robotic orthosis. J Rehabil Res Dev. 2000 Nov-Dec;37(6):693-700.
- Morone G, Paolucci S, Cherubini A, De Angelis D, Venturiero V, Coiro P, Iosa M. Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics. Neuropsychiatr Dis Treat. 2017 May 15;13:1303-1311. doi: 10.2147/NDT.S114102. eCollection 2017.
- Opheim A, Jahnsen R, Olsson E, Stanghelle JK. Walking function, pain, and fatigue in adults with cerebral palsy: a 7-year follow-up study. Dev Med Child Neurol. 2009 May;51(5):381-8. doi: 10.1111/j.1469-8749.2008.03250.x. Epub 2008 Feb 3.
- Sutherland DH, Davids JR. Common gait abnormalities of the knee in cerebral palsy. Clin Orthop Relat Res. 1993 Mar;(288):139-47.
- Tefertiller C, Pharo B, Evans N, Winchester P. Efficacy of rehabilitation robotics for walking training in neurological disorders: a review. J Rehabil Res Dev. 2011;48(4):387-416. doi: 10.1682/jrrd.2010.04.0055.
- Husemann B, Muller F, Krewer C, Heller S, Koenig E. Effects of locomotion training with assistance of a robot-driven gait orthosis in hemiparetic patients after stroke: a randomized controlled pilot study. Stroke. 2007 Feb;38(2):349-54. doi: 10.1161/01.STR.0000254607.48765.cb. Epub 2007 Jan 4.
- Meyer-Heim A, Borggraefe I, Ammann-Reiffer C, Berweck S, Sennhauser FH, Colombo G, Knecht B, Heinen F. Feasibility of robotic-assisted locomotor training in children with central gait impairment. Dev Med Child Neurol. 2007 Dec;49(12):900-6. doi: 10.1111/j.1469-8749.2007.00900.x.
- Pirpiris M, Wilkinson AJ, Rodda J, Nguyen TC, Baker RJ, Nattrass GR, Graham HK. Walking speed in children and young adults with neuromuscular disease: comparison between two assessment methods. J Pediatr Orthop. 2003 May-Jun;23(3):302-7.
- Houlihan CM. Walking function, pain, and fatigue in adults with cerebral palsy. Dev Med Child Neurol. 2009 May;51(5):338-9. doi: 10.1111/j.1469-8749.2008.03253.x. No abstract available.
- Goldstein M, Harper DC. Management of cerebral palsy: equinus gait. Dev Med Child Neurol. 2001 Aug;43(8):563-9. doi: 10.1111/j.1469-8749.2001.tb00762.x. No abstract available.
- Damiano DL. Activity, activity, activity: rethinking our physical therapy approach to cerebral palsy. Phys Ther. 2006 Nov;86(11):1534-40. doi: 10.2522/ptj.20050397.
- Garvey MA, Giannetti ML, Alter KE, Lum PS. Cerebral palsy: new approaches to therapy. Curr Neurol Neurosci Rep. 2007 Mar;7(2):147-55. doi: 10.1007/s11910-007-0010-x.
- Hesse S, Schmidt H, Werner C, Bardeleben A. Upper and lower extremity robotic devices for rehabilitation and for studying motor control. Curr Opin Neurol. 2003 Dec;16(6):705-10. doi: 10.1097/01.wco.0000102630.16692.38.
- Mayr A, Kofler M, Quirbach E, Matzak H, Frohlich K, Saltuari L. Prospective, blinded, randomized crossover study of gait rehabilitation in stroke patients using the Lokomat gait orthosis. Neurorehabil Neural Repair. 2007 Jul-Aug;21(4):307-14. doi: 10.1177/1545968307300697. Epub 2007 May 2.
- Wirz M, Zemon DH, Rupp R, Scheel A, Colombo G, Dietz V, Hornby TG. Effectiveness of automated locomotor training in patients with chronic incomplete spinal cord injury: a multicenter trial. Arch Phys Med Rehabil. 2005 Apr;86(4):672-80. doi: 10.1016/j.apmr.2004.08.004.
- Borggraefe I, Klaiber M, Schuler T, Warken B, Schroeder SA, Heinen F, Meyer-Heim A. Safety of robotic-assisted treadmill therapy in children and adolescents with gait impairment: a bi-centre survey. Dev Neurorehabil. 2010;13(2):114-9. doi: 10.3109/17518420903321767.
- Kim SK, Park D, Yoo B, Shim D, Choi JO, Choi TY, Park ES. Overground Robot-Assisted Gait Training for Pediatric Cerebral Palsy. Sensors (Basel). 2021 Mar 16;21(6):2087. doi: 10.3390/s21062087.
- Yoo M, Ahn JH, Park ES. The Effects of Over-Ground Robot-Assisted Gait Training for Children with Ataxic Cerebral Palsy: A Case Report. Sensors (Basel). 2021 Nov 26;21(23):7875. doi: 10.3390/s21237875.
- Hwang EO, Oh DW, Kim SY. Community ambulation in patients with chronic post-stroke hemiparesis: Comparison of walking variables in five different community situations. Korean Acad Phys Ther Sci. 2009;16(1):31-9.
- Rosenbaum P, Paneth N, Leviton A, Goldstein M, Bax M, Damiano D, Dan B, Jacobsson B. A report: the definition and classification of cerebral palsy April 2006. Dev Med Child Neurol Suppl. 2007 Feb;109:8-14.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- EXO-CIP-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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