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The Effect of Robot-assisted Gait Training on Quadriceps Muscle Thickness, Balance and Gait Parameters in Chronic Stroke Patients
The aim of our study was to investigate the effect of robot-assisted gait training on quadriceps muscle thickness, balance and gait parameters in individuals with chronic stroke. For these purposes:-Improving gait and balance functions of patients with chronic stroke,-Increasing functional independence in daily life with walking trainings-Increase lower extremity muscle thickness with walking training, To investigate the effects of robot-assisted gait training on quadriceps muscle thickness, balance and gait parameters in individuals with chronic stroke.-It is aimed to contribute to the literature in this field by transforming the results to be obtained as a result of the study into a scientific publication
The aim of this study was to investigate the effect of robot-assisted gait training on quadriceps muscle thickness, balance and gait parameters in individuals with chronic stroke. Stroke refers to a neurological disorder caused by cerebrovascular damage. It is defined as a sudden brain attack that causes partial or complete brain dysfunction due to blockage or rupture of blood vessels of the brain. The primary symptom of stroke is hemiparesis. In addition, stroke negatively affects senses, motor function, perception, cognition and language, depending on location, etiology and infarct volume. One study reported that 85% of stroke patients had hemiparesis and more than 69% had upper limb dysfunction. Balance and gait disturbances are closely related in chronic stroke patients; balance is an İmportant determinant of walking ability and motor function. Impairments in the strength and standing balance of the paretic lower limb are consistently associated with gait performance. Changes in segmental transverse range of motion and coordination are associated with poor gait and balance abilities \[5\]. Research has shown a continuous relationship between quadriceps muscle thickness and gait parameters in chronic stroke patients. Sánchez-Sánchez (2019) found that reduced quadriceps muscle thickness was associated with a lower ability to produce maximal force and postural instability, especially in those with limited mobility in the community. It was showed that fewer muscle modules, which may be indicative of reduced muscle thickness, were associated with poorer gait quality. A study found that decreased quadriceps muscle thickness and increased intramuscular fat were associated with decreased gait independence.These findings suggest that maintaining or improving quadriceps muscle thickness may be important in improving gait performance in chronic stroke patients. Robot-assisted gait training has been frequently used in research in recent years and positive improvements in gait speed and stride length have been obtained. In some studies, it has been shown that there is no significant difference in gait compared to traditional treatment, only improving clinical scales more . In contrast, Aprile (2017) found that both robotic and traditional gait training improved clinical scales, but only the robotic group showed higher percentage changes in certain scales.However, no significant difference was found in gait analysis. Ronchi (2015) also showed no additional gains in gait rehabilitation with robotic therapy compared to conventional treatment.Therefore, although robotic gait training offers some benefits, more research is needed to determine the different or similar effects on balance, gait and lower extremity muscle thickness compared to traditional methods. The aim of our study was to investigate the effect of robot-assisted gait training on quadriceps muscle thickness, balance and gait parameters in individuals with chronic stroke. The following hypotheses will be examined in the study. H0: Robot-assisted gait training has no effect on quadriceps muscle thickness, balance and gait parameters in individuals with chronic stroke. H1: Robot-assisted gait training has an effect on quadriceps muscle thickness, balance and gait parameters in individuals with chronic stroke
Age
40 - 75 years
Sex
ALL
Healthy Volunteers
No
Güzin Kaya Aytutuldu
Istanbul, Zeytinburnu, Turkey (Türkiye)
Start Date
December 1, 2024
Primary Completion Date
January 15, 2025
Completion Date
December 15, 2025
Last Updated
September 17, 2025
30
ESTIMATED participants
Conventional Gait Training
OTHER
Robotic Gait Training
OTHER
Lead Sponsor
Biruni University
NCT06057584
NCT07236216
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View ClinicalTrials.gov Terms and ConditionsNCT06696885