Literature DB >> 24187309

Assessment of upper limb motor function in patients with multiple sclerosis using the Virtual Peg Insertion Test: a pilot study.

Olivier Lambercy, Marie-Christine Fluet, Ilse Lamers, Lore Kerkhofs, Peter Feys, Roger Gassert.   

Abstract

Quantifying and tracking upper limb impairment is of key importance to the understanding of disease progress, establishing patient-tailored therapy protocols and for optimal care provision. This paper presents the results of a pilot study on the assessment of upper limb motor function in patients with multiple sclerosis (MS) with the Virtual Peg Insertion Test (VPIT). The test consists in a goal-directed reaching task using a commercial haptic display combined with an instrumented handle and virtual environment, and allows for the extraction of objective kinematic and dynamic parameters. Ten MS patients and eight age-matched healthy subjects performed five repetitions of the VPIT with their dominant and non-dominant hand. Upper limb movements were found to be significantly slower, less smooth and less straight compared to healthy controls, and the time to complete the VPIT was well correlated with the conventional Nine Hole Peg Test (r=0.658, p<0.01). Tremor in the range of 3-5 Hz could be detected and quantified using a frequency analysis in patients featuring intention tremor. These preliminary results illustrate the feasibility of using the VPIT with MS patients, and underline the potential of this test to evaluate upper limb motor function and discriminate characteristic MS related impairments.

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Year:  2013        PMID: 24187309     DOI: 10.1109/ICORR.2013.6650494

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


  12 in total

1.  A low-dimensional representation of arm movements and hand grip forces in post-stroke individuals.

Authors:  Christoph M Kanzler; Giuseppe Averta; Olivier Lambercy; Matteo Bianchi; Anne Schwarz; Jeremia P O Held; Roger Gassert; Antonio Bicchi; Marco Santello
Journal:  Sci Rep       Date:  2022-05-09       Impact factor: 4.996

Review 2.  On the assessment of coordination between upper extremities: towards a common language between rehabilitation engineers, clinicians and neuroscientists.

Authors:  Camila Shirota; Jelka Jansa; Javier Diaz; Sivakumar Balasubramanian; Stefano Mazzoleni; N Alberto Borghese; Alejandro Melendez-Calderon
Journal:  J Neuroeng Rehabil       Date:  2016-09-08       Impact factor: 4.262

3.  The BRAIN test: a keyboard-tapping test to assess disability and clinical features of multiple sclerosis.

Authors:  Samuel Shribman; Hasan Hasan; Shahrzad Hadavi; Gavin Giovannoni; Alastair J Noyce
Journal:  J Neurol       Date:  2017-12-04       Impact factor: 4.849

4.  The Nine-Hole Peg Test as a manual dexterity performance measure for multiple sclerosis.

Authors:  Peter Feys; Ilse Lamers; Gordon Francis; Ralph Benedict; Glenn Phillips; Nicholas LaRocca; Lynn D Hudson; Richard Rudick
Journal:  Mult Scler       Date:  2017-02-16       Impact factor: 6.312

5.  A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments.

Authors:  Christoph M Kanzler; Mike D Rinderknecht; Anne Schwarz; Ilse Lamers; Cynthia Gagnon; Jeremia P O Held; Peter Feys; Andreas R Luft; Roger Gassert; Olivier Lambercy
Journal:  NPJ Digit Med       Date:  2020-05-29

6.  Investigation of isometric strength and control of the upper extremities in multiple sclerosis.

Authors:  Asif Hussain; Sivakumar Balasubramanian; Ilse Lamers; Sarah Guy; Peter Feys; Etienne Burdet
Journal:  J Rehabil Assist Technol Eng       Date:  2016-08-26

7.  Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning.

Authors:  Christoph M Kanzler; Ilse Lamers; Peter Feys; Roger Gassert; Olivier Lambercy
Journal:  Med Biol Eng Comput       Date:  2021-11-25       Impact factor: 2.602

8.  Upper Extremity Functional Evaluation by Fugl-Meyer Assessment Scoring Using Depth-Sensing Camera in Hemiplegic Stroke Patients.

Authors:  Won-Seok Kim; Sungmin Cho; Dongyoub Baek; Hyunwoo Bang; Nam-Jong Paik
Journal:  PLoS One       Date:  2016-07-01       Impact factor: 3.240

9.  Concurrent validity and test-retest reliability of the Virtual Peg Insertion Test to quantify upper limb function in patients with chronic stroke.

Authors:  Bernadette C Tobler-Ammann; Eling D de Bruin; Marie-Christine Fluet; Olivier Lambercy; Rob A de Bie; Ruud H Knols
Journal:  J Neuroeng Rehabil       Date:  2016-01-22       Impact factor: 4.262

10.  The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review.

Authors:  Martin Marziniak; Giampaolo Brichetto; Peter Feys; Uta Meyding-Lamadé; Karen Vernon; Sven G Meuth
Journal:  JMIR Rehabil Assist Technol       Date:  2018-04-24
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