Literature DB >> 17659289

Contributions of muscles to terminal-swing knee motions vary with walking speed.

Allison S Arnold1, Michael H Schwartz, Darryl G Thelen, Scott L Delp.   

Abstract

Many children with cerebral palsy walk with diminished knee extension during terminal swing, at speeds much slower than unimpaired children. Treatment of these gait abnormalities is challenging because the factors that extend the knee during normal walking, over a range of speeds, are not well understood. This study analyzed a series of three-dimensional, muscle-driven dynamic simulations to determine whether the relative contributions of individual muscles and other factors to angular motions of the swing-limb knee vary with walking speed. Simulations were developed that reproduced the measured gait dynamics of seven unimpaired children walking at self-selected, fast, slow, and very slow speeds (7 subjects x 4 speeds=28 simulations). In mid-swing, muscles on the stance limb made the largest net contribution to extension of the swing-limb knee at all speeds examined. The stance-limb hip abductors, in particular, accelerated the pelvis upward, inducing reaction forces at the swing-limb hip that powerfully extended the knee. Velocity-related forces (i.e., Coriolis and centrifugal forces) also contributed to knee extension in mid-swing, though these contributions were diminished at slower speeds. In terminal swing, the hip flexors and other muscles on the swing-limb decelerated knee extension at the subjects' self-selected, slow, and very slow speeds, but had only a minimal net effect on knee motions at the fastest speeds. Muscles on the stance limb helped brake knee extension at the subjects' fastest speeds, but induced a net knee extension acceleration at the slowest speeds. These data--which show that the contributions of muscular and velocity-related forces to terminal-swing knee motions vary systematically with walking speed--emphasize the need for speed-matched control subjects when attempting to determine the causes of a patient's abnormal gait.

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Mesh:

Year:  2007        PMID: 17659289      PMCID: PMC2795577          DOI: 10.1016/j.jbiomech.2007.06.006

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  20 in total

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Authors:  A R den Otter; A C H Geurts; T Mulder; J Duysens
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Journal:  Gait Posture       Date:  2004-08       Impact factor: 2.840

3.  Contributions of muscle forces and toe-off kinematics to peak knee flexion during the swing phase of normal gait: an induced position analysis.

Authors:  Frank C Anderson; Saryn R Goldberg; Marcus G Pandy; Scott L Delp
Journal:  J Biomech       Date:  2004-05       Impact factor: 2.712

4.  A new method for estimating joint parameters from motion data.

Authors:  Michael H Schwartz; Adam Rozumalski
Journal:  J Biomech       Date:  2005-01       Impact factor: 2.712

5.  Muscular contributions to hip and knee extension during the single limb stance phase of normal gait: a framework for investigating the causes of crouch gait.

Authors:  Allison S Arnold; Frank C Anderson; Marcus G Pandy; Scott L Delp
Journal:  J Biomech       Date:  2004-11-23       Impact factor: 2.712

6.  Muscle mechanical work and elastic energy utilization during walking and running near the preferred gait transition speed.

Authors:  Kotaro Sasaki; Richard R Neptune
Journal:  Gait Posture       Date:  2005-07-18       Impact factor: 2.840

7.  Regression analysis of gait parameters with speed in normal children walking at self-selected speeds.

Authors:  B W Stansfield; S J Hillman; M E Hazlewood; J E Robb
Journal:  Gait Posture       Date:  2005-06-22       Impact factor: 2.840

8.  The effect of walking speed on the gait of typically developing children.

Authors:  Michael H Schwartz; Adam Rozumalski; Joyce P Trost
Journal:  J Biomech       Date:  2008-05-07       Impact factor: 2.712

9.  Intramuscular EMG from the hip flexor muscles during human locomotion.

Authors:  E A Andersson; J Nilsson; A Thorstensson
Journal:  Acta Physiol Scand       Date:  1997-11

10.  Kinematic and EMG patterns during slow, free, and fast walking.

Authors:  M P Murray; L A Mollinger; G M Gardner; S B Sepic
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  8 in total

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Authors:  Darryl G Thelen; Amy L Lenz; Carrie Francis; Rachel L Lenhart; Antonio Hernández
Journal:  J Biomech       Date:  2013-03-26       Impact factor: 2.712

5.  Robot-assisted modifications of gait in healthy individuals.

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Journal:  Exp Brain Res       Date:  2010-02-26       Impact factor: 1.972

6.  The effects of muscle damage on walking biomechanics are speed-dependent.

Authors:  Themistoklis Tsatalas; Giannis Giakas; Giannis Spyropoulos; Vassilis Paschalis; Michalis G Nikolaidis; Dimitrios E Tsaopoulos; Anastasios A Theodorou; Athanasios Z Jamurtas; Yiannis Koutedakis
Journal:  Eur J Appl Physiol       Date:  2010-07-29       Impact factor: 3.078

7.  Muscle contributions to support and progression over a range of walking speeds.

Authors:  May Q Liu; Frank C Anderson; Michael H Schwartz; Scott L Delp
Journal:  J Biomech       Date:  2008-09-25       Impact factor: 2.712

8.  The inaccuracy of surface-measured model-derived tibiofemoral kinematics.

Authors:  Kang Li; Liying Zheng; Scott Tashman; Xudong Zhang
Journal:  J Biomech       Date:  2012-09-08       Impact factor: 2.712

  8 in total

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