Haptic recognition of dystonia and spasticity in simulated multi-joint hypertonia

D. Piovesan*, A. Melendez-Calderon, F. A. Mussa-Ivaldi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper investigates the capability of naïve individuals to recognize dystonic- or spastic- like conditions through physical manipulation of a virtual arm. Subjects physically interact with a two-joint, six-muscle hypertonic arm model, rendered on a two degrees-of-freedom robotic manipulandum. This paradigm aims to identify the limitation of manual manipulation during diagnosis of hypertonia. Our results indicate that there are difficulties to discriminate between the two conditions at low to medium level of severity. We found that the sample entropy of the executed motion and the force experienced during physical manipulation, tended to be higher during incorrectly identified trials than in those correctly assessed.

Original languageEnglish (US)
Title of host publication2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013
DOIs
StatePublished - 2013
Event2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013 - Seattle, WA, United States
Duration: Jun 24 2013Jun 26 2013

Publication series

NameIEEE International Conference on Rehabilitation Robotics
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Other

Other2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013
CountryUnited States
CitySeattle, WA
Period6/24/136/26/13

Keywords

  • assessment
  • dystonia
  • haptic discrimination
  • hypertonia
  • rigidity
  • spasticity

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Rehabilitation
  • Electrical and Electronic Engineering

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  • Cite this

    Piovesan, D., Melendez-Calderon, A., & Mussa-Ivaldi, F. A. (2013). Haptic recognition of dystonia and spasticity in simulated multi-joint hypertonia. In 2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013 [6650449] (IEEE International Conference on Rehabilitation Robotics). https://doi.org/10.1109/ICORR.2013.6650449