Literature DB >> 16491406

Adaptations of walking pattern on a compliant surface to regulate dynamic stability.

Michael J MacLellan1, Aftab E Patla.   

Abstract

Dynamic stability can be threatened by various travel surface changes that humans encounter on a daily basis. The central nervous system (CNS) must acquire appropriate information about upcoming surface changes and provide necessary proactive and reactive changes to maintain stability. The purpose of this study was to examine stability control by characterizing adaptations in step patterns, center of mass (COM) trajectory, and lower limb muscle activity when stepping onto and walking on a compliant surface. Eight young adults walked under two conditions: baseline ground walking and while walking on a large foam mat (compliant surface). Optotrak system was used to collect 3D-full body kinematics and electromyography was collected for the rectus femoris, biceps femoris, tibialis anterior, medial gastrocnemius, and soleus bilaterally. Vertical COM decreased on the compliant surface while medio-lateral COM was not affected. This lowering of the vertical COM peak would provide a more stable posture when walking on the surface. Toe trajectory during the swing phase was elevated to avoid tripping on the deformable compliant surface. Step width and length increased on the compliant surface which would increase base of support and provide better control of COM. Increases in gastrocnemius and soleus activity during push-off accounted for increases in step length seen on the compliant surface. Dynamic stability margin in the anterior-posterior direction demonstrated a constant overcompensation and subsequent correction in COM control. These proactive and reactive changes in motor patterns show how the CNS actively coordinates all body segments while traveling on a compliant surface in order to maximize stability.

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Year:  2006        PMID: 16491406     DOI: 10.1007/s00221-006-0399-5

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


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