Effects of arm training with the robotic device ARMin I in chronic stroke: three single cases

Neurodegener Dis. 2009;6(5-6):240-51. doi: 10.1159/000262444. Epub 2009 Nov 26.

Abstract

Background: Several clinical studies on chronic stroke conducted with end-effector-based robots showed improvement of the motor function in the affected arm. Compared to end-effector-based robots, exoskeleton robots provide improved guidance of the human limb and are better suited to train task-oriented movements with a large range of motions.

Objective: To test whether intensive arm training with the arm exoskeleton ARMin I is feasible with chronic-stroke patients and whether it improves motor function in the paretic arm.

Methods: Three single cases with chronic hemiparesis resulting from unilateral stroke (at least 14 months after stroke). A-B design with 2 weeks of multiple baseline measurements (A), 8 weeks of training (B) with repetitive measurements and a follow-up measurement 8 weeks after training. The training included shoulder and elbow movements with the robotic rehabilitation device ARMin I. Two subjects had three 1-hour sessions per week and 1 subject received five 1-hour sessions per week. The main outcome measurement was the upper-limb part of the Fugl-Meyer Assessment (FMA).

Results: The ARMin training was well tolerated by the patients, and the FMA showed moderate, but significant improvements for all 3 subjects (p < 0.05). Most improvements were maintained 8 weeks after discharge.

Conclusions: This study indicates that intensive training with an arm exoskeleton is feasible with chronic-stroke patients. Moderate improvements were found in all 3 subjects, thus further clinical investigations are justified.

Publication types

  • Case Reports

MeSH terms

  • Aged
  • Arm / physiopathology*
  • Chronic Disease
  • Disability Evaluation
  • Exercise Therapy / instrumentation*
  • Exercise Therapy / methods*
  • Female
  • Follow-Up Studies
  • Functional Laterality / physiology
  • Humans
  • Male
  • Middle Aged
  • Regression Analysis
  • Robotics*
  • Stroke / physiopathology*
  • Stroke Rehabilitation*