Literature DB >> 24701634

Measurement characteristics and clinical utility of the 29-item Multiple Sclerosis Impact Scale.

Gail L Widener, Diane D Allen.   

Abstract

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Year:  2014        PMID： 24701634     DOI： 10.1016/j.apmr.2013.07.008

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN： 0003-9993            Impact factor:   3.966


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  3 in total

1.  Machine learning classification of multiple sclerosis patients based on raw data from an instrumented walkway.

Authors:  Wenting Hu; Owen Combden; Xianta Jiang; Syamala Buragadda; Caitlin J Newell; Maria C Williams; Amber L Critch; Michelle Ploughman
Journal:  Biomed Eng Online       Date:  2022-03-30       Impact factor: 2.819

2.  Aerobic reserve capacity in multiple sclerosis-Preliminary evidence.

Authors:  Corey D Feasel; Brian M Sandroff; Robert W Motl
Journal:  Acta Neurol Scand       Date:  2021-04-29       Impact factor: 3.915

3.  Feasibility and initial efficacy of a high-intensity interval training program using adaptive equipment in persons with multiple sclerosis who have walking disability: study protocol for a single-group, feasibility trial.

Authors:  Elizabeth A Hubbard; Robert W Motl; David J Elmer
Journal:  Trials       Date:  2020-11-25       Impact factor: 2.279
  3 in total

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