Literature DB >> 15886132

Sequencing sit-to-stand and upright posture for mobility limitation assessment: determination of the timing of the task phases from force platform data.

Claudia Mazzà1, Mounir Zok, Ugo Della Croce.   

Abstract

The identification of quantitative tools to assess an individual's mobility limitation is a complex and challenging task. Several motor tasks have been designated as potential indicators of mobility limitation. In this study, a multiple motor task obtained by sequencing sit-to-stand and upright posture was used. Algorithms based on data obtained exclusively from a single force platform were developed to detect the timing of the motor task phases (sit-to-stand, preparation to the upright posture and upright posture). To test these algorithms, an experimental protocol inducing predictable changes in the acquired signals was designed. Twenty-two young, able-bodied subjects performed the task in four different conditions: self-selected natural and high speed with feet kept together, and self-selected natural and high speed with feet pelvis-width apart. The proposed algorithms effectively detected the timing of the task phases, the duration of which was sensitive to the four different experimental conditions. As expected, the duration of the sit-to-stand was sensitive to the speed of the task and not to the foot position, while the duration of the preparation to the upright posture was sensitive to foot position but not to speed. In addition to providing a simple and effective description of the execution of the motor task, the correct timing of the studied multiple task could facilitate the accurate determination of variables descriptive of the single isolated phases, allowing for a more thorough description of the motor task and therefore could contribute to the development of effective quantitative functional evaluation tests.

Mesh:

Year:  2005        PMID: 15886132     DOI: 10.1016/j.gaitpost.2004.05.006

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  8 in total

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Journal:  Med Biol Eng Comput       Date:  2018-01-12       Impact factor: 2.602

2.  Development of an automated method to detect sitting pivot transfer phases using biomechanical variables: toward a standardized method.

Authors:  Guillaume Desroches; Martin Vermette; Philippe Gourdou; Dany Gagnon
Journal:  J Neuroeng Rehabil       Date:  2012-02-03       Impact factor: 4.262

3.  Quantification of the sit-to-stand movement for monitoring age-related motor deterioration using the Nintendo Wii Balance Board.

Authors:  Go Yamako; Etsuo Chosa; Koji Totoribe; Yuu Fukao; Gang Deng
Journal:  PLoS One       Date:  2017-11-14       Impact factor: 3.240

4.  Unilateral Discomfort Increases the Use of Contralateral Side during Sit-to-Stand Transfer.

Authors:  Simisola O Oludare; Charlie C Ma; Alexander S Aruin
Journal:  Rehabil Res Pract       Date:  2017-04-26

5.  Dynamic Balance Measurement and Quantitative Assessment Using Wearable Plantar-Pressure Insoles in a Pose-Sensed Virtual Environment.

Authors:  Cunguang Lou; Chenyao Pang; Congrui Jing; Shuo Wang; Xufeng He; Xiaoguang Liu; Lei Huang; Feng Lin; Xiuling Liu; Hongrui Wang
Journal:  Sensors (Basel)       Date:  2018-11-30       Impact factor: 3.576

6.  Postural transitions detection and characterization in healthy and patient populations using a single waist sensor.

Authors:  Arash Atrsaei; Farzin Dadashi; Clint Hansen; Elke Warmerdam; Benoît Mariani; Walter Maetzler; Kamiar Aminian
Journal:  J Neuroeng Rehabil       Date:  2020-06-03       Impact factor: 4.262

7.  Electromyographic responses during time get up and go test in water (wTUG).

Authors:  Antonio I Cuesta-Vargas; Carlos Cano-Herrera; Danielle Formosa; Brendan Burkett
Journal:  Springerplus       Date:  2013-05-10

8.  Muscular Activity and Fatigue in Lower-Limb and Trunk Muscles during Different Sit-To-Stand Tests.

Authors:  Cristina Roldán-Jiménez; Paul Bennett; Antonio I Cuesta-Vargas
Journal:  PLoS One       Date:  2015-10-27       Impact factor: 3.240

  8 in total

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