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Publication . Conference object . 2017

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

Emilia Ambrosini; Simona Ferrante; Johannes Zajc; Maria Bulgheroni; Walter Baccinelli; Enrico D’Amico; Thomas Schauer; +13 Authors
Open Access
English
Published: 01 Jul 2017
Publisher: Zenodo
Country: Italy
Abstract

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.

Subjects by Vocabulary

Microsoft Academic Graph classification: Stroke medicine.disease medicine Functional electrical stimulation Exoskeleton Device Engineering business.industry business Neuroprosthetics Exoskeleton Electromyography medicine.diagnostic_test Simulation Task (project management) Physical medicine and rehabilitation medicine.medical_specialty Rehabilitation medicine.medical_treatment

Subjects

Adult; Equipment Design; Female; Humans; Male; Middle Aged; Pilot Projects; Software; Task Performance and Analysis; Upper Extremity; Electromyography; Exoskeleton Device; Neural Prostheses; Stroke Rehabilitation; Control and Systems Engineering; Electrical and Electronic Engineering; Rehabilitation; Medicine (all)

Funded by
EC| RETRAINER
Project
RETRAINER
REaching and grasping Training based on Robotic hybrid AssIstance for Neurological patients: End users Real life evaluation
  • Funder: European Commission (EC)
  • Project Code: 644721
  • Funding stream: H2020 | IA
Validated by funder
,
EC| RETRAINER
Project
RETRAINER
REaching and grasping Training based on Robotic hybrid AssIstance for Neurological patients: End users Real life evaluation
  • Funder: European Commission (EC)
  • Project Code: 644721
  • Funding stream: H2020 | IA
Validated by funder
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https://zenodo.org/record/1240...
Conference object
License: cc-by
Providers: UnpayWall
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