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Stroke, one of the central nervous system (CNS) disorders, is a global public health problem due to its high mortality rate and level of physical and mental disability. It is the leading cause of death after heart disease and cancer and one of the most important causes of disability worldwide. After a stroke, motor and sensory disorders, activity and participation limitations and various complications related to these are observed in the lower extremities. As a result of these losses, balance, mobility and gait abnormalities lead to a decrease in quality of life and fall problems.
In recent years, the use of robot-assisted rehabilitation in physiotherapy has increased significantly with the support of engineering studies. Robotic and technology-supported trainings enable rehabilitation to be carried out at high intensity and repetition, treatment to be adapted according to the needs of the patient, patient exercise performance to be objectively monitored continuously, customized treatment protocols to be implemented and patients to be motivated with virtual reality technology.
Platform-based end effector robots used for ankle rehabilitation in the lower extremity after stroke allow active and passive joint range of motion training to be performed. In addition to such motor trainings, adding sensory (vibrotactile) localization and cognitive trainings to the treatment improves sensory-motor-cognitive integration.
In this context, with the proposed robot-assisted structured foot-ankle sensorimotor training protocol:
The aim of the project is to investigate the effectiveness of our structured training protocol, which includes sensory, motor and cognitive integration for foot-ankle rehabilitation, which we created with a robot-assisted foot-ankle system, in stroke patients. Our project aims to improve the tone, range of motion, joint position sense, walking performance, static and dynamic balance control, tactile perception levels and quality of life of the ankle movement and muscles (dorsiflexor and plantar flexor muscles) that are impaired after stroke. It is also aimed to bring a robot-assisted structured foot-ankle training protocol to the literature.
Full description
Power analysis using G-Power version 3.1 yielded 90% power, a d=1.135 effect size, and a total sample size of n=30, with each group consisting of 15 observations. Participants will be randomly assigned to either the Robotic-Assisted Foot-Ankle Training Protocol (REG) or the Conventional Foot-Ankle Training Protocol (CEG). One group will receive training with the robotic foot-ankle platform, while the other group will receive conventional training (manual training with a physiotherapist). Exercise programs will last 6 weeks, 3 days a week, for 40-45 minutes. Progression will be provided using the AAN control paradigm on the robot, and by the physiotherapist in the conventional training.
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Inclusion criteria
Age between 40 and 65 years,
Ability to understand and follow study instructions,
Ability to demonstrate coherent speech and spatial-temporal orientation skills, signed informed consent form,
≤ 2 ankle plantar flexor spasticity according to the Modified Ashworth Scale (MAS),
Completion of all conventional physical therapy,
Having had a stroke at least 6 months ago (individuals with chronic stroke),
Ability to walk at least 10 m with or without any assistive device.
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30 participants in 2 patient groups
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Central trial contact
Esra TEKECİ, physiotherapist
Data sourced from clinicaltrials.gov
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