Robot-Assisted Gait Training With Self-Observation in Stroke Rehabilitation

Launched by SAHMYOOK UNIVERSITY · Jun 21, 2024

Keywords

ClinConnect Summary

This clinical trial is looking at how effective robot-assisted walking training combined with self-observation can improve balance, walking, and thinking skills in people who have had a stroke. The main question the study seeks to answer is whether this combination helps improve balance more than just robot-assisted walking training alone. Participants will be divided into two groups: one group will do the combined training five times a week for four weeks, while the other group will only do the robot-assisted walking training for the same amount of time.

To be part of this study, you need to have had a stroke more than six months ago but less than a year, be able to walk 10 meters (about the length of a basketball court) either independently or with some help, and be eligible to use the robot called ANGEL LEGS M20. However, if you have certain medical conditions, like severe cognitive difficulties, skin issues that prevent you from wearing the robot, or specific neurological disorders, you may not be able to participate. All sessions will last for 30 minutes, and the trial is not yet recruiting participants.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Participants who have had a stroke for more than 6 months but less than 1 year
• • Functional Ambulation Category (FAC) ≥ 2
• • Able to walk 10 meters independently with or without an assistive device
• • Participants eligible for application of the robot (ANGEL LEGS M20, Anger Robotics)
• Exclusion Criteria:
• • Inability to wear the robot due to open wounds or skin conditions
• • Severe cognitive impairment (MMSE-K \< 10) or significant difficulty in communication due to language disorders
• • Spasticity of the paralyzed limb with a Modified Ashworth Scale (MAS) ≥ 2
• • High risk of fractures, such as osteoporosis
• • Severe cardiovascular or pulmonary diseases
• • Neurological disorders affecting gait function, such as Parkinson's disease or multiple sclerosis