Literature DB >> 22275696

Integrating proprioceptive assessment with proprioceptive training of stroke patients.

Valentina Squeri1, Jacopo Zenzeri, Pietro Morasso, Angelo Basteris.   

Abstract

Although proprioceptive impairment is likely to affect in a significant manner the capacity of stroke patients to recover functionality of the upper limb, clinical assessment methods in current use are rather crude, with a low level of reliability and a limited capacity to discriminate the relevant features of the deficits. In this paper we describe a new technique based on robot technology, with the goal of providing a reliable, accurate, quantitative evaluation of the position sense in peri-personal space. The proposed technique uses a bimanual, planar robot manipuladum (BdF device), whose handles are grasped by the blindfolded patient: the paretic hand is passively placed in one of 17 positions and the subject is asked to actively match the paretic hand position in space with the other hand. The position sense of the paretic arm and the corresponding deficit of space representation are characterized by means of 7 indicators: 1) positional error; 2) holding force; 3) medio/lateral shift; 4) antero/posterior shift; 5) medio/lateral skew; 6) antero/posterior skew; 7) shrink coefficient. We also show how the same experimental setup can be used for "proprioceptive training", i.e. for providing robot assistance to the paretic arm that may improve the position sense of the patient. A preliminary, feasibility test has been carried out with one patient and three controls.
© 2011 IEEE

Entities:  

Mesh:

Year:  2011        PMID: 22275696     DOI: 10.1109/ICORR.2011.5975500

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  20 in total

1.  The Present and Future of Robotic Technology in Rehabilitation.

Authors:  Jeffrey Laut; Maurizio Porfiri; Preeti Raghavan
Journal:  Curr Phys Med Rehabil Rep       Date:  2016-11-19

2.  Wrist Position Sense in Two Dimensions: Between-Hand Symmetry and Anisotropic Accuracy Across the Space.

Authors:  Giulia A Albanese; Michael W R Holmes; Francesca Marini; Pietro Morasso; Jacopo Zenzeri
Journal:  Front Hum Neurosci       Date:  2021-04-22       Impact factor: 3.169

3.  Proprioceptive bimanual test in intrinsic and extrinsic coordinates.

Authors:  Riccardo Iandolo; Valentina Squeri; Dalia De Santis; Psiche Giannoni; Pietro Morasso; Maura Casadio
Journal:  Front Hum Neurosci       Date:  2015-02-18       Impact factor: 3.169

4.  Robot-aided assessment of wrist proprioception.

Authors:  Leonardo Cappello; Naveen Elangovan; Sara Contu; Sanaz Khosravani; Jürgen Konczak; Lorenzo Masia
Journal:  Front Hum Neurosci       Date:  2015-04-14       Impact factor: 3.169

5.  Robot-assisted training of the kinesthetic sense: enhancing proprioception after stroke.

Authors:  Dalia De Santis; Jacopo Zenzeri; Maura Casadio; Lorenzo Masia; Assunta Riva; Pietro Morasso; Valentina Squeri
Journal:  Front Hum Neurosci       Date:  2015-01-05       Impact factor: 3.169

6.  Robot-Aided Mapping of Wrist Proprioceptive Acuity across a 3D Workspace.

Authors:  Francesca Marini; Valentina Squeri; Pietro Morasso; Jürgen Konczak; Lorenzo Masia
Journal:  PLoS One       Date:  2016-08-18       Impact factor: 3.240

7.  The independence of deficits in position sense and visually guided reaching following stroke.

Authors:  Sean P Dukelow; Troy M Herter; Stephen D Bagg; Stephen H Scott
Journal:  J Neuroeng Rehabil       Date:  2012-10-04       Impact factor: 4.262

8.  A robotic object hitting task to quantify sensorimotor impairments in participants with stroke.

Authors:  Kathrin Tyryshkin; Angela M Coderre; Janice I Glasgow; Troy M Herter; Stephen D Bagg; Sean P Dukelow; Stephen H Scott
Journal:  J Neuroeng Rehabil       Date:  2014-04-02       Impact factor: 4.262

9.  A robotic test of proprioception within the hemiparetic arm post-stroke.

Authors:  Lucia Simo; Lior Botzer; Claude Ghez; Robert A Scheidt
Journal:  J Neuroeng Rehabil       Date:  2014-04-30       Impact factor: 4.262

Review 10.  Assessment of movement quality in robot- assisted upper limb rehabilitation after stroke: a review.

Authors:  Nurdiana Nordin; Sheng Quan Xie; Burkhard Wünsche
Journal:  J Neuroeng Rehabil       Date:  2014-09-12       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.