Literature DB >> 16635625

Biomechanic modeling of sit-to-stand to upright posture for mobility assessment of persons with chronic stroke.

Claudia Mazzà1, Steven J Stanhope, Antonio Taviani, Aurelio Cappozzo.   

Abstract

OBJECTIVE: To test the suitability of using biomechanic measures associated with a minimum measured input model (MMIM) approach to assess mobility of people with chronic stroke during the execution of a sit-to-stand (STS) to upright posture motor task.
DESIGN: Single group, observational.
SETTING: Institutional settings in the United States and Italy. PARTICIPANTS: Twenty-nine subjects with chronic unilateral lower-limb impairments and resultant mobility limitations secondary to stroke.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Manual measurement of lower-limb strength; performance-based tests including repeated chair standing, walking speed, and standing balance; and ground reactions measured with a force platform during STS and upright posture. The ground reactions were fed to a telescopic inverted pendulum model of the musculoskeletal system. Parameters representing the model outputs were compared with performance-based and strength measures to assess, respectively, motor ability and impairment-related changes in subjects' motor strategies.
RESULTS: The parameters derived from the model effectively differentiated between motor strategies associated with different performance-based scores, and allowed the identification of relevant difficulties encountered in STS execution. These difficulties could be associated with different strength scores. This was also true for subjects scoring the maximum in both performance-based and strength tests.
CONCLUSIONS: The MMIM is a relatively inexpensive and noninvasive approach that enhances mobility assessment of hemiparetic subjects with different motor ability levels. It provides information that correlates well with performance-based and strength scores and, in addition, it allows for subject-specific motor strategy identification.

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Year:  2006        PMID: 16635625     DOI: 10.1016/j.apmr.2005.12.037

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


  5 in total

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2.  Accelerometry-based prediction of movement dynamics for balance monitoring.

Authors:  Valeria Lucia Fuschillo; Fabio Bagalà; Lorenzo Chiari; Angelo Cappello
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3.  Analysis of vertical ground reaction force variables during a Sit to Stand task in participants recovering from a hip fracture.

Authors:  Jeff Houck; Janet Kneiss; Susan V Bukata; J Edward Puzas
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4.  Demonstration of posturographic parameters of squat-stand activity in hemiparetic patients on a new multi-utility balance assessing and training system.

Authors:  Rong-Rong Lu; Fang Li; Yi Wu; Yong-Shan Hu; Xiu-Lin Xu; Ren-Lin Zou; Xiu-Fang Hu
Journal:  J Neuroeng Rehabil       Date:  2013-04-15       Impact factor: 4.262

5.  Association of seat height and arm position on the five times sit-to-stand test times of stroke survivors.

Authors:  Shamay S M Ng; Susanna Y Cheung; Lauren S W Lai; Ann S L Liu; Selena H I Ieong; Shirley S M Fong
Journal:  Biomed Res Int       Date:  2013-09-11       Impact factor: 3.411

  5 in total

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