Elsevier

Journal of Biomechanics

Volume 41, Issue 15, 14 November 2008, Pages 3243-3252
Journal of Biomechanics

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

https://doi.org/10.1016/j.jbiomech.2008.07.031Get rights and content

Abstract

Muscles actuate walking by providing vertical support and forward progression of the mass center. To quantify muscle contributions to vertical support and forward progression (i.e., vertical and fore-aft accelerations of the mass center) over a range of walking speeds, three-dimensional muscle-actuated simulations of gait were generated and analyzed for eight subjects walking overground at very slow, slow, free, and fast speeds. We found that gluteus maximus, gluteus medius, vasti, hamstrings, gastrocnemius, and soleus were the primary contributors to support and progression at all speeds. With the exception of gluteus medius, contributions from these muscles generally increased with walking speed. During very slow and slow walking speeds, vertical support in early stance was primarily provided by a straighter limb, such that skeletal alignment, rather than muscles, provided resistance to gravity. When walking speed increased from slow to free, contributions to support from vasti and soleus increased dramatically. Greater stance-phase knee flexion during free and fast walking speeds caused increased vasti force, which provided support but also slowed progression, while contralateral soleus simultaneously provided increased propulsion. This study provides reference data for muscle contributions to support and progression over a wide range of walking speeds and highlights the importance of walking speed when evaluating muscle function.

Introduction

Many individuals with neuromuscular impairments walk slowly (Turnbull et al., 1995; Abel and Damiano, 1996; Goldie et al., 1996; Dingwell et al., 2000). Evaluating a patient's gait requires discriminating between deviations caused by pathology and walking speed. Several studies identified how walking speed influences joint kinematics (Murray et al., 1984; Kirtley et al., 1985; Holden et al., 1997; Stansfield et al., 2001b; van der Linden et al., 2002; Nymark et al., 2005; Schwartz et al., 2008), ground reaction forces (Andriacchi et al., 1977; Jansen and Jansen, 1978; Vaughan et al., 1987; Stansfield et al., 2001a; Schwartz et al., 2008), and muscle activity (Murray et al., 1984; Shiavi et al., 1987; Hof et al., 2002; den Otter et al., 2004; Nymark et al., 2005; Cappellini et al., 2006; Schwartz et al., 2008). However, the mechanisms by which muscles modulate the accelerations of the mass center over a range of walking speeds are not well understood.

Several studies have examined how muscles provide support and progression (Pandy, 2001; Neptune et al., 2004; Liu et al., 2006) at a typical walking speed in unimpaired adults. Using a computer simulation of overground walking, Liu et al. (2006) found that gluteus maximus, vasti, and dorsiflexors slowed the body mass center during early stance; gluteus medius, soleus, and gastrocnemius propelled the mass center forward during late stance. The same muscles modulated vertical acceleration of the body mass center. Their findings agreed with those of other researchers (Pandy, 2001; Anderson and Pandy, 2003; Neptune et al., 2004). A drawback to all of these previous simulation studies, however, is that each analyzed only one simulation at one walking speed, making it difficult to generalize the results to the larger population who walk at various speeds.

Neptune et al. (2008) recently analyzed two-dimensional computer simulations of walking at five speeds and found that vertical support of the trunk was provided by gluteus maximus, vasti, soleus, and gastrocnemius, while forward propulsion of the trunk was provided by soleus and rectus femoris. Neptune et al. (2008) were able to precisely control subject walking speed using a treadmill; however, there are differences between overground and treadmill walking (Murray et al., 1985; Lee and Hidler, 2008).

We examined the mechanisms that modulate vertical (support) and fore-aft (progression) accelerations of the body mass center at different overground walking speeds. We quantified how the contributions of individual muscles to mass center accelerations vary with walking speed by creating and analyzing 32 three-dimensional, muscle-actuated simulations of walking, representing eight different subjects walking at four speeds.

Section snippets

Methods

To examine the contributions of muscles to the acceleration of the mass center, we acquired subjects’ gait analysis data at four walking speeds. These data were used to generate subject-specific simulations at each walking speed (Fig. 1). We calculated muscle contributions to support and progression with a perturbation analysis (Liu et al., 2006). A repeated measures analysis of variance identified the effects of walking speed on muscle contributions to mass center accelerations.

We generated

Results

The simulated joint angles for pelvis, hips, knees, and ankles tracked the experimental data with a maximum error of 3° across all 32 simulated walking trials (Fig. 2). The simulated joint moments computed by summing the moments generated by muscle actuators at each joint closely matched the experimental joint moments computed by inverse dynamics (Fig. 3). The experimental EMG data for the subjects were highly variable. The simulated muscle activations captured some of the consistent

Discussion

We identified the muscles primarily responsible for modulating vertical support and forward progression over a range of walking speeds in unimpaired children. In general, muscle contributions to support and progression increased with walking speed, with especially large increases in vasti contributions between slow and free walking. During very slow and slow walking, a straighter limb in early stance—rather than muscles—provided a majority of the support against gravity.

These results illustrate

Conflict of interest statement

None of the authors had any financial or personal conflict of interest with regard to this study.

Acknowledgments

We gratefully thank Allison Arnold, Darryl Thelen, Chand John, Eran Guendelman, Ayman Habib, and Ilse Jonkers for many productive discussions and for their assistance in generating the simulations. This work was supported by the National Institutes of Health through the Roadmap for Medical Research U54 GM072970 and NIH R01 HD046814. We also acknowledge NSF award CNS-0619926 for computer resources.

References (46)

  • C. Kirtley et al.

    Influence of walking speed on gait parameters

    Journal of Biomedical Engineering

    (1985)
  • M.Q. Liu et al.

    Muscles that support the body also modulate forward progression during walking

    Journal of Biomechanics

    (2006)
  • R.R. Neptune et al.

    Muscle force redistributes segmental power for body progression during walking

    Gait and Posture

    (2004)
  • R.R. Neptune et al.

    The effect of walking speed on muscle function and mechanical energetics

    Gait and Posture

    (2008)
  • M.H. Schwartz et al.

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

    Journal of Biomechanics

    (2008)
  • D.G. Thelen et al.

    Generating dynamic simulations of movement using computed muscle control

    Journal of Biomechanics

    (2003)
  • M.F. Abel et al.

    Strategies for increasing walking speed in diplegic cerebral palsy

    Journal of Pediatric Orthopedics

    (1996)
  • G. Cappellini et al.

    Motor patterns in human walking and running

    Journal of Neurophysiology

    (2006)
  • S.H. Collins et al.

    A three-dimensional passive-dynamic walking robot with two legs and knees

    International Journal of Robotics Research

    (2001)
  • S.L. Delp et al.

    An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures

    IEEE Transactions on Biomedical Engineering

    (1990)
  • S.L. Delp et al.

    OpenSim: open-source software to create and analyze dynamic simulations of movement

    IEEE Transactions on Biomedical Engineering

    (2007)
  • V.R. Edgerton et al.

    Muscle fibre type populations of human leg muscles

    Histochemical Journal

    (1975)
  • M. Gunther et al.

    Human leg design: optimal axial alignment under constraints

    Journal of Mathematical Biology

    (2004)
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