Literature DB >> 26252368

Kinematic and Kinetic Indicators of Sit-to-Stand.

Catherine A Stevermer1, Jason C Gillette.   

Abstract

Variation in the timing indicators separating sit-to-stand (STS) into movement phases complicates both research comparisons and clinical applications. The purpose of this study was to use kinetic reference standards to identify accurate kinematic and kinetic indicators for STS movement analysis such that consistent indicators might be used for STS from varied initial postures. Healthy adults performed STS using 4 foot placements: foot-neutral, foot-back, right-staggered, and left-staggered. Kinetic and kinematic data were collected from force platforms and an 8-camera video system. Initiation, seat-off, vertical posture, and termination were detected with 5% start and 7.5% end thresholds for changes in kinetic and kinematic STS indicators. Timing differences between kinetic and kinematic indicator time points and the reference vertical seated reaction force end point (seat-off) were determined. Kinematic indicators were compared with selected kinetic indicators using timing differences, statistical similarity, and internal consistency measures. Our results suggest that a single force platform system measuring vertical GRF or a simple camera system to evaluate the shoulder marker position and velocity can accurately and consistently detect STS initiation, seat-off, and vertical posture. In addition, these suggested STS indicators for initiation, seat-off, and vertical posture were not dependent upon foot placement.

Entities:  

Mesh:

Year:  2015        PMID: 26252368     DOI: 10.1123/jab.2014-0189

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  3 in total

1.  Kinematic analysis of the human body during sit-to-stand in healthy young adults.

Authors:  Jin Li; Qiang Xue; Shuo Yang; Xiaolong Han; Shouwei Zhang; Min Li; Jingchen Guo
Journal:  Medicine (Baltimore)       Date:  2021-06-04       Impact factor: 1.817

2.  Novel application of a force sensor during sit-to-stands to measure dynamic cerebral autoregulation onset.

Authors:  Alicen A Whitaker; Eric D Vidoni; Stacey E Aaron; Adam G Rouse; Sandra A Billinger
Journal:  Physiol Rep       Date:  2022-04

3.  Validity of an iPhone App to Detect Prefrailty and Sarcopenia Syndromes in Community-Dwelling Older Adults: The Protocol for a Diagnostic Accuracy Study.

Authors:  Alessio Montemurro; Juan D Ruiz-Cárdenas; María Del Mar Martínez-García; Juan J Rodríguez-Juan
Journal:  Sensors (Basel)       Date:  2022-08-11       Impact factor: 3.847

  3 in total

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