Effects of WALKBOT-G Robot-assisted Gait Training on Anticipatory Posture Adjustment Function and Balance With Cerebral Palsy

Sahmyook University22 enrolled

Overview

In children with cerebral palsy, the quality of walking decreases due to a decrease in the ability to control limbs, including walking, and coordination among various activities of daily living due to a decrease in functional independence and quality of life. Gait disorder is one of the important therapeutic goals of children with cerebral palsy, and recently robot-assisted gait training (RAGT) induces changes in brain plasticity, so it will help improve gross motor control and coordination control.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

SINGLE

Enrollment

Conditions

Cerebral Palsy Spastic Hemiplegic Cerebral Palsy Bilateral Spastic Cerebral Palsy Gait Disorders, Neurologic

robot-assisted gait trainingDEVICE

RAGT, WALKBOT-G, is a walking training equipment that can reproduce natural motions by adjusting the leg length and adjusting the motion with the actuator of the ankle joint.

conventional locomotion therapyBEHAVIORAL

locomotion exercise, postural control training, balance training, electrotherapy

Eligibility

Sex: ALLMin age: 6 YearsMax age: 12 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Patients aged 6-12 years or younger who have not received botulinum toxin or surgery within 3 months before the study * Patients diagnosed with Bilateral Spastic Cerebral Palsy * Patients diagnosed with Spastic Hemiplegic Cerebral Palsy Exclusion Criteria: * Children who cannot understand and follow orders * Children with stiffness in the lower limbs corresponding to the Modified Ashworth Scale (MAS)\> 3 * Patients who wear a robot and walk without affecting contractures, deformities, or skin problems * Infants with cardiovascular instability and mild scoliosis with a cobb's angle of 30 degrees or more

Outcomes

Primary Outcomes

muscle activation

Measure muscle activity of Sternocleidomastoid, C4 Cervical Paraspinals, L5 Paraspinals, Rectus Femoris, Medial Hamstring, and Soleus during functional reach test. Surface electromyograph(EMG)(Mini Wave Infinity Waterproof, Cometa Systems, Italy, 2017) was used to measure muscle activity, and analysis software(Myoresearch XP Master 1.07, Noraxon, USA, 2011) was used for EMG analysis. The sampling rate was set to 2000 Hz. The EMG raw data was quantified as 150 ms after applying full wave rectification, and filtering was performed in the range of 20 to 450 Hz using a digital band-pass filter (Lancosh FIR). do

Time frame: Change from baseline muscle activation at 4 weeks