• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Projects
  • Funding
  • Research Data
  • Organizations
  • Researchers
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Towards functional robotic training: motor learning of dynamic tasks is enhanced by haptic rendering but hampered by arm weight support.
 

Towards functional robotic training: motor learning of dynamic tasks is enhanced by haptic rendering but hampered by arm weight support.

Options
  • Details
BORIS DOI
10.48350/165821
Date of Publication
February 13, 2022
Publication Type
Article
Division/Institute

ARTORG Center - Geron...

Contributor
Özen, Özhanorcid-logo
ARTORG Center - Gerontechnology and Rehabilitation
Bütler, Karin
ARTORG Center - Gerontechnology and Rehabilitation
Marchal Crespo, Lauraorcid-logo
ARTORG Center - Gerontechnology and Rehabilitation
Series
Journal of NeuroEngineering and Rehabilitation
ISSN or ISBN (if monograph)
1743-0003
Publisher
BioMed Central
Language
English
Publisher DOI
10.1186/s12984-022-00993-w
PubMed ID
35152897
Uncontrolled Keywords

Arm weight support Ef...

Description
BACKGROUND

Current robot-aided training allows for high-intensity training but might hamper the transfer of learned skills to real daily tasks. Many of these tasks, e.g., carrying a cup of coffee, require manipulating objects with complex dynamics. Thus, the absence of somatosensory information regarding the interaction with virtual objects during robot-aided training might be limiting the potential benefits of robotic training on motor (re)learning. We hypothesize that providing somatosensory information through the haptic rendering of virtual environments might enhance motor learning and skill transfer. Furthermore, the inclusion of haptic rendering might increase the task realism, enhancing participants' agency and motivation. Providing arm weight support during training might also enhance learning by limiting participants' fatigue.

METHODS

We conducted a study with 40 healthy participants to evaluate how haptic rendering and arm weight support affect motor learning and skill transfer of a dynamic task. The task consisted of inverting a virtual pendulum whose dynamics were haptically rendered on an exoskeleton robot designed for upper limb neurorehabilitation. Participants trained with or without haptic rendering and with or without weight support. Participants' task performance, movement strategy, effort, motivation, and agency were evaluated during baseline, short- and long-term retention. We also evaluated if the skills acquired during training transferred to a similar task with a shorter pendulum.

RESULTS

We found that haptic rendering significantly increases participants' movement variability during training and the ability to synchronize their movements with the pendulum, which is correlated with better performance. Weight support also enhances participants' movement variability during training and reduces participants' physical effort. Importantly, we found that training with haptic rendering enhances motor learning and skill transfer, while training with weight support hampers learning compared to training without weight support. We did not observe any significant differences between training modalities regarding agency and motivation during training and retention tests.

CONCLUSION

Haptic rendering is a promising tool to boost robot-aided motor learning and skill transfer to tasks with similar dynamics. However, further work is needed to find how to simultaneously provide robotic assistance and haptic rendering without hampering motor learning, especially in brain-injured patients. Trial registration https://clinicaltrials.gov/show/NCT04759976.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/67686
Show full item
File(s)
FileFile TypeFormatSizeLicensePublisher/Copright statementContent
s12984-022-00993-w.pdftextAdobe PDF2.41 MBpublishedOpen
BORIS Portal
Bern Open Repository and Information System
Build: 960e9e [21.08. 13:49]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo