Literature DB >> 12633769

Predicting peak kinematic and kinetic parameters from gait speed.

Jennifer L Lelas1, Gregory J Merriman, Patrick O Riley, D Casey Kerrigan.   

Abstract

OBJECTIVE: The aim of this study is to assess the predictability of the relationships between gait speed and common peak sagittal plane parameters in order to provide a set of reference parameter values.
DESIGN: Lower extremity biomechanical data were collected in 64 healthy adults while walking barefoot at his/her comfortable walking speed, then at self-selected fast, slow and very slow speeds. Twenty seven peak joint parameter values were plotted and regressed as a function of gait speed. DISCUSSION: While most parameters change with increasing gait speed, in general, the kinetic parameters had better predictability than the kinematic parameters. Most of the power parameters were found to have a quadratic relationship with gait speed. Of the moment parameters, four had a linear relationship with gait speed, while four had a quadratic one. These relationships shown in the tables and graphs here can be used as a reference for 'normal' gait parameter values.

Mesh:

Year:  2003        PMID: 12633769     DOI: 10.1016/s0966-6362(02)00060-7

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


  76 in total

1.  Comparison of 3D joint moments using local and global inverse dynamics approaches among three different age groups.

Authors:  Jian Liu; Thurmon E Lockhart
Journal:  Gait Posture       Date:  2005-08-19       Impact factor: 2.840

2.  The independent effects of speed and propulsive force on joint power generation in walking.

Authors:  Michael G Browne; Jason R Franz
Journal:  J Biomech       Date:  2017-02-21       Impact factor: 2.712

3.  The effect of walking speed on muscle function and mechanical energetics.

Authors:  Richard R Neptune; Kotaro Sasaki; Steven A Kautz
Journal:  Gait Posture       Date:  2007-12-26       Impact factor: 2.840

4.  Changes of gait parameters and lower limb dynamics in recreational runners with achilles tendinopathy.

Authors:  SungJoong Kim; JaeHo Yu
Journal:  J Sports Sci Med       Date:  2015-05-08       Impact factor: 2.988

5.  Biomechanical effects of augmented ankle power output during human walking.

Authors:  Sarah N Fickey; Michael G Browne; Jason R Franz
Journal:  J Exp Biol       Date:  2018-11-16       Impact factor: 3.312

6.  Effect of type 2 diabetes on energy cost and preferred speed of walking.

Authors:  Nathan Caron; Nicolas Peyrot; Teddy Caderby; Chantal Verkindt; Georges Dalleau
Journal:  Eur J Appl Physiol       Date:  2018-08-07       Impact factor: 3.078

7.  The effects of an articulated ankle-foot orthosis with resistance-adjustable joints on lower limb joint kinematics and kinetics during gait in individuals post-stroke.

Authors:  Toshiki Kobayashi; Michael S Orendurff; Grace Hunt; Fan Gao; Nicholas LeCursi; Lucas S Lincoln; K Bo Foreman
Journal:  Clin Biomech (Bristol, Avon)       Date:  2018-08-10       Impact factor: 2.063

8.  Differences in gait parameters between healthy subjects and persons with moderate and severe knee osteoarthritis: a result of altered walking speed?

Authors:  Joseph A Zeni; Jill S Higginson
Journal:  Clin Biomech (Bristol, Avon)       Date:  2009-03-13       Impact factor: 2.063

9.  New fluoroscopic imaging technique for investigation of 6DOF knee kinematics during treadmill gait.

Authors:  Guoan Li; Michal Kozanek; Ali Hosseini; Fang Liu; Samuel K Van de Velde; Harry E Rubash
Journal:  J Orthop Surg Res       Date:  2009-03-13       Impact factor: 2.359

10.  Contoured, prefabricated foot orthoses demonstrate comparable mechanical properties to contoured, customised foot orthoses: a plantar pressure study.

Authors:  Anthony C Redmond; Karl B Landorf; Anne-Maree Keenan
Journal:  J Foot Ankle Res       Date:  2009-06-16       Impact factor: 2.303

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