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Human walking along a curved path. II. Gait features and EMG patterns
Grégoire Courtine1, Marco Schieppati
1INSERM Motricité and Plasticité, University of Burgundy, Dijon, France.
The European Journal of Neuroscience
|July 16, 2003
Summary
Walking on curves uses the same rhythm for both legs, despite differences in stride length and timing. Muscle activity changes minimally, suggesting the nervous system efficiently controls turning movements.
Area of Science:
- Biomechanics
- Neuroscience
- Human locomotion
Background:
- Understanding the neural control of human locomotion is crucial for rehabilitation and assistive technologies.
- Gait control during curved walking presents unique challenges due to asymmetric leg movements.
Purpose of the Study:
- To investigate the nervous mechanisms controlling asymmetric leg movements during curved walking.
- To analyze gait features and leg muscle activity patterns during continuous body progression along a curved path.
Main Methods:
- Recorded basic gait features and associated leg muscle activity during curved walking.
- Analyzed stride length, phase lag, swing velocity, and stance phase duration.
- Measured muscle activity (soleus, tibialis anterior, peroneus longus) and trunk inclination.
Main Results:
- A consistent rhythm was maintained between legs, despite differing stride lengths and a 7% phase lag in limb displacement.
- Outer foot swing velocity was greater, and stance duration decreased in the outer leg and increased in the inner leg.
- Muscle activity showed minor alterations; soleus amplitude varied, tibialis anterior increased during swing, and peroneus longus decreased.
- Trunk leaning towards the inside of the curve accompanied stance phase changes.
- Gait patterns and muscle activity remained unaffected by closing the eyes during turning.
Conclusions:
- Curved walking may utilize the spinal locomotor generator's fundamental mechanisms, minimizing the neural computational load for turning.
- The nervous system efficiently adapts basic locomotor patterns for curved trajectories.