Assessing Touch Sensibility with a Robotic System for Sensory Rehabilitation

Villar Ortega, Eduardo; Aksöz, E. Anil; Buetler, Karin A.; Marchal-Crespo, Laura (23 August 2021). Assessing Touch Sensibility with a Robotic System for Sensory Rehabilitation. In: 2021 IEEE World Haptics Conference (WHC) (p. 336). Montreal, QC, Canada: IEEE 10.1109/WHC49131.2021.9517218

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Sensory loss in patients with neurological injuries is associated with poor neurorehabilitation training outcomes. However, in robotic neurorehabilitation, sensory interventions receive systematically less attention than motor training. To boost the potential of robotic rehabilitation, we are evaluating the feasibility of employing a haptic robotic device for the assessment and training of touch sensibility. Here, we present preliminary results on the test-retest reliability from 20 healthy participants. Participants performed a sensory discrimination task, where different surfaces were rendered by the haptic device, while they were passively moved by the robot and when they actively explored the surfaces. Participants' performance from two consecutive days was compared and no significant differences were found, neither for active nor passive exploration. However, the active condition had poor reliability, while the passive condition had moderate reliability, suggesting that sensory assessment may benefit from robotic guidance to achieve a more repeatable tactile evaluation.

Item Type:

Conference or Workshop Item (Abstract)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Motor Learning and Neurorehabilitation
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Gerontechnology and Rehabilitation

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Villar Ortega, Eduardo Enrique, Aksöz, Efe Anil, Bütler, Karin, Marchal Crespo, Laura

Subjects:

600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISBN:

978-1-6654-1871-3

Publisher:

IEEE

Funders:

[UNSPECIFIED] IFARHU and SENCYT ; [UNSPECIFIED] University of Bern

Language:

English

Submitter:

Eduardo Enrique Villar Ortega

Date Deposited:

24 Jan 2022 09:32

Last Modified:

05 Dec 2022 15:57

Publisher DOI:

10.1109/WHC49131.2021.9517218

BORIS DOI:

10.48350/162605

URI:

https://boris.unibe.ch/id/eprint/162605

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