Personalized Exercise Program Using Data-Driven Methods to Improve Walking in People Aged 45 to 75 With Stroke

What this Trial Is About

Researchers are evaluating whether a personalized exercise program using a data-driven approach can improve walking patterns in people who have had a stroke. The study aims to see if these tailored exercises can enhance motor recovery, walking speed, balance, and community involvement in individuals with chronic stroke. It also seeks to reduce the need for frequent patient consultations with clinicians. Participants will take part in 12 supervised exercise sessions lasting 60 minutes each, twice a week for six weeks. They will be randomly assigned to receive either a personalized exercise plan based on detailed gait and muscle activity analyses or a standard exercise program that includes five common lower-limb exercises. Exercises may use equipment like TheraBand, gym machines, or free weights, and a body harness will ensure safety during training. Throughout the study, participants will be assessed at the start, after six sessions, after all 12 sessions, and again three months later. Evaluations include walking movement analysis, muscle activity during walking, motor function tests, balance scales, and physical performance tests. These assessments help measure improvements in gait, muscle control, balance, and the ability to perform daily activities after the training program.

Individualized Exercise Prescription With a Data-driven Approach in Individuals With Stroke