Literature DB >> 15150716

Transverse rotation and longitudinal translation during prosthetic gait--a literature review.

Martin Twiste1, Shyam Rithalia.   

Abstract

Improved technology allows for more accurate gait analysis to increase awareness of nonoptimized prosthetic gait patterns and for the manufacture of sophisticated prosthetic components to improve nonoptimized gait patterns. However, prescriptions are often based on intuition rather than rigorous research findings for evidence-based practice. The number of studies found in the literature that are based on prosthetic research regarding transverse rotation and longitudinal translation is small when compared to topics regarding other types of movements. Some design criteria for prosthetic components described in those studies that permit transverse rotation and longitudinal translation can be found in current designs. However, little research has been conducted to establish their effectiveness on the gait parameters and residual limb. This literature review is an investigation into these motions between the socket and the prosthetic foot, with particular reference to gait characteristics and prosthetic design criteria.

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Year:  2003        PMID: 15150716     DOI: 10.1682/jrrd.2003.01.0009

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


  3 in total

1.  Controlled Reduction with Unactuated Cyclic Variables: Application to 3D Bipedal Walking with Passive Yaw Rotation.

Authors:  Robert D Gregg; Ludovic Righetti
Journal:  IEEE Trans Automat Contr       Date:  2013-10       Impact factor: 5.792

2.  Using mechanical testing to assess texturing of prosthetic sockets to improve suspension in the transverse plane and reduce rotation.

Authors:  Julia Quinlan; Vasanth Subramanian; Jessica Yohay; Brad Poziembo; Stefania Fatone
Journal:  PLoS One       Date:  2020-06-11       Impact factor: 3.240

3.  A Prosthetic Shank With Adaptable Torsion Stiffness and Foot Alignment.

Authors:  Jochen Schuy; Nadine Stech; Graham Harris; Philipp Beckerle; Saeed Zahedi; Stephan Rinderknecht
Journal:  Front Neurorobot       Date:  2020-05-08       Impact factor: 2.650

  3 in total

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