Literature DB >> 23986470

Foot clearance strategy for step-over-step stair climbing in transfemoral amputees.

Hiroaki Hobara1, Yoshiyuki Kobayashi2, Takashi Nakamura3, Nobuya Yamasaki3, Toru Ogata4.   

Abstract

BACKGROUND AND AIM: Stair ascent is a particularly challenging task for transfemoral amputees. The aim of this clinical note was to describe the kinematic features of foot clearance in transfemoral amputee who can ascend stairs using a step-over-step strategy. TECHNIQUE: The marker trajectories of the first metatarsophalangeal joint (Mt1) and clearance height were measured in two transfemoral amputees who could (TF1) and could not (TF2) climb stairs using a step-over-step strategy. DISCUSSION: The Mt1 marker trajectories of the TF1 moved backward in the early swing phase, and the trajectory followed an off-centered parabolic arc to achieve a similar clearance height as able-bodied subjects. TF2 could not climb the stairs without tripping in each step. An effective compensatory strategy to avoid tripping during stair climbing may be to use the hip joint for a backward extension and rapid flexion of the prosthetic leg during the early swing phase. CLINICAL RELEVANCE: The foot clearance strategy in transfemoral amputees who can climb stairs using a step-over-step strategy will help us better understand adaptive prosthetic control and thus develop more effective gait rehabilitation programs. © The International Society for Prosthetics and Orthotics 2013.

Entities:  

Keywords:  Rehabilitation; above knee; reciprocal gait; stair ascent

Mesh:

Year:  2013        PMID: 23986470     DOI: 10.1177/0309364613497049

Source DB:  PubMed          Journal:  Prosthet Orthot Int        ISSN: 0309-3646            Impact factor:   1.895


  2 in total

1.  Powered Knee and Ankle Prosthesis with Adaptive Control Enables Climbing Stairs with Different Stair Heights, Cadences, and Gait Patterns.

Authors:  Sarah Hood; Lukas Gabert; Tommaso Lenzi
Journal:  IEEE Trans Robot       Date:  2022-03-22       Impact factor: 6.835

2.  Real-Time Adaptation of an Artificial Neural Network for Transfemoral Amputees Using a Powered Prosthesis.

Authors:  Richard Woodward; Ann Simon; Emily Seyforth; Levi Hargrove
Journal:  IEEE Trans Biomed Eng       Date:  2022-02-18       Impact factor: 4.538

  2 in total

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