Comparison of Upper Limb Motor Therapy Outcomes in Post-Stroke Patients: A Randomized Controlled Trial of Therapist-Led Versus Robot-Assisted Rehabilitation

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Authors: Denis Moskiewicz, Małgorzata Kołodziej, Michał Mikulski, Anna Poświata, Iwona Marta Sarzyńska-Długosz
Cited by: 0
References: 56

Abstract

Abstract High-dose, task-specific upper limb training is essential for post-stroke motor recovery. EMG-triggered robot-assisted therapy enables intention-driven, high-repetition practice; however, evidence from randomized trials directly comparing this approach with dose-matched conventional rehabilitation remains limited. This single-blind randomized controlled trial compared short-term outcomes of EMG-triggered robot-assisted upper limb training using the Luna EMG system with standardized therapist-led therapy in patients after stroke. Fifty-eight patients in the early post-stroke phase were randomly assigned to robot-assisted therapy (n = 29) or therapist-assisted therapy (n = 29). Both groups received identical upper limb training with respect to duration, intensity, frequency, and number of repetitions over six weeks within the same inpatient rehabilitation program. Outcomes were assessed at baseline, weeks three and six, and at three-week follow-up using the Fugl–Meyer Assessment for Upper Extremity, Box and Block Test, Modified Ashworth Scale, Numerical Rating Scale, and EQ-5D-5L. Both groups showed significant within-group improvements in motor function, pain, and quality of life over time. When therapy dose is strictly controlled, no statistically significant between-group differences were observed. A single between-group difference was observed in the EQ-5D-5L domain of usual activities at follow-up, favoring the robot-assisted group. Trial registration: ClinicalTrials.gov, NCT07002463. Registered May 30, 2025 (retrospectively registered)

Fields of Study & Subjects

Stroke Rehabilitation and Recovery Transcranial Magnetic Stimulation Studies Prosthetics and Rehabilitation Robotics

Publication details

Journal / source
Research Square
Publication date
27 February 2026
Language
EN
Document type
Preprint