Robotics rehabilitation of the elbow based on surface electromyography signals. (February 2018)
- Record Type:
- Journal Article
- Title:
- Robotics rehabilitation of the elbow based on surface electromyography signals. (February 2018)
- Main Title:
- Robotics rehabilitation of the elbow based on surface electromyography signals
- Authors:
- Tiboni, Monica
Borboni, Alberto
Faglia, Rodolfo
Pellegrini, Nicola - Abstract:
- Physical rehabilitation based on robotic systems has the potential to cover the patient's need of improvement of upper extremity functionalities. In this article, the state of the art of resistant and assistive upper limb exoskeleton robots and their control are thoroughly investigated. Afterward, a single-degree-of-freedom exoskeleton matching the elbow–forearm has been advanced to grant a valid rehabilitation therapy for persons with physical disability of upper limb motion. The authors have focused on the control system based on the use of electromyography signals as an input to drive the joint movement and manage the robotics arm. The correlation analysis between surface electromyography signal and the force exerted by the subject was studied in objects' grasping tests with the purpose of validating the methodology. The authors developed an innovative surface electromyography force–based active control that adjusts the force exerted by the device during rehabilitation. The control was validated by an experimental campaign on healthy subjects simulating disease on an arm, with positive results that confirm the proposed solution and that open the way to future researches.
- Is Part Of:
- Advances in mechanical engineering. Volume 10:Number 2(2018)
- Journal:
- Advances in mechanical engineering
- Issue:
- Volume 10:Number 2(2018)
- Issue Display:
- Volume 10, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 10
- Issue:
- 2
- Issue Sort Value:
- 2018-0010-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-02
- Subjects:
- Robotics -- rehabilitation -- force control -- surface electromyography signals -- upper limb motion
Mechanical engineering -- Periodicals
621.05 - Journal URLs:
- http://ade.sagepub.com/content/current ↗
http://www.hindawi.com/journals/ame ↗
http://www.uk.sagepub.com ↗ - DOI:
- 10.1177/1687814018754590 ↗
- Languages:
- English
- ISSNs:
- 1687-8132
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8180.xml