Literature DB >> 25356558

Preliminary evaluation of variable compliance joystick for people with multiple sclerosis.

Harshal P Mahajan1, Donald M Spaeth, Brad E Dicianno, Karl Brown, Rory A Cooper.   

Abstract

Upper-limb fatigue is a common problem that may restrict people with multiple sclerosis (MS) from using their electric powered wheelchair effectively and for a long period of time. The objective of this research is to evaluate whether participants with MS can drive better using a variable compliance joystick (VCJ) and customizable algorithms than with a conventional wheelchair joystick. Eleven participants were randomly assigned to one of two groups. The groups used either the VCJ in compliant or noncompliant isometric mode and a standard algorithm, personally fitted algorithm, or personally fitted algorithm with fatigue adaptation running in the background in order to complete virtual wheelchair driving tasks. Participants with MS showed better driving performance metrics while using the customized algorithms than while using the standard algorithm with the VCJ. Fatigue adaptation algorithms are especially beneficial in improving overall task performance while using the VCJ in isometric mode. The VCJ, along with the personally fitted algorithms and fatigue adaptation algorithms, has the potential to be an effective input interface for wheelchairs.

Entities:  

Keywords:  MS; fatigue; joystick; multiple sclerosis; outcome measures; tremor filter; variable compliance joystick; virtual reality; wheelchair; wheelchair driving

Mesh:

Year:  2014        PMID: 25356558     DOI: 10.1682/JRRD.2013.01.0023

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  2 in total

1.  Advanced Joystick Algorithms for Computer Access Tasks.

Authors:  Brad E Dicianno; Harshal Mahajan; Rory A Cooper
Journal:  PM R       Date:  2015-01-13       Impact factor: 2.298

2.  Effects of virtual reality rehabilitation training on gait and balance in patients with Parkinson's disease: A systematic review.

Authors:  Cheng Lei; Kejimu Sunzi; Fengling Dai; Xiaoqin Liu; Yanfen Wang; Baolu Zhang; Lin He; Mei Ju
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

  2 in total

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