Published July 1, 2017 | Version v1
Conference paper Open

The combined action of a passive exoskeleton and an EMG-controlled neuroprosthesis for upper limb stroke rehabilitation: First results of the RETRAINER project.

  • 1. Politecnico di Milano
  • 2. Ottobock Health Products GmbH
  • 3. Ab. Acus, Milan
  • 4. Technische Universität Berlin
  • 5. Technische Universität Wien
  • 6. Hasomed GmbH
  • 7. Asklepios Neurologische Klinik Falkenstein
  • 8. Villa Beretta Rehabilitation Center

Description

The combined use of Functional Electrical Stimulation (FES) and robotic technologies is advocated to improve rehabilitation outcomes after stroke. This work describes an arm rehabilitation system developed within the European project RETRAINER. The system consists of a passive 4-degrees-of-freedom exoskeleton equipped with springs to provide gravity compensation and electromagnetic brakes to hold target positions. FES is integrated in the system to provide additional support to the most impaired muscles. FES is triggered based on the volitional EMG signal of the same stimulated muscle; in order to encourage the active involvement of the patient the volitional EMG is also monitored throughout the task execution and based on it a happy or sad emoji is visualized at the end of each task. The control interface control of the system provides a GUI and multiple software tools to organize rehabilitation exercises and monitor rehabilitation progress. The functionality and the usability of the system was evaluated on four stroke patients. All patients were able to use the system and judged positively its wearability and the provided support. They were able to trigger the stimulation based on their residual muscle activity and provided different levels of active involvement in the exercise, in agreement with their level of impairment. A randomized controlled trial aimed at evaluating the effectiveness of the RETRAINER system to improve arm function after stroke is currently ongoing.

Files

Retrainer_ICORR2017_finale2.pdf

Files (2.0 MB)

Name Size Download all
md5:33accd725f61876b78da5f3739e44935
2.0 MB Preview Download

Additional details

Funding

RETRAINER – REaching and grasping Training based on Robotic hybrid AssIstance for Neurological patients: End users Real life evaluation 644721
European Commission