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Updated: May 30, 2026

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Lower Limb Biomechanical Analysis of Healthy Participants
Published on: April 15, 2020
Muscular timing and inter-muscular coordination in healthy females while walking
Cora Huber1, Corina Nüesch, Beat Göpfert
1Laboratory of Biomechanics & Biocalorimetry, University of Basel, c/o Biozentrum/Pharmazentrum, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland. cora.huber@unibas.ch
Journal of Neuroscience Methods
|July 26, 2011
Summary
This study analyzed thigh muscle activation during walking using electromyographic (EMG) signals. Results show synchronized muscle activation, revealing insights into the neural control of gait.
Area of Science:
- Biomechanics
- Neuroscience
- Human Movement Science
Background:
- Gait requires complex neuromuscular control involving muscles, the central nervous system, and external factors.
- Electromyographic (EMG) signals provide insights into neuromuscular strategies during dynamic activities like walking.
- Previous research indicated precise pacing and muscle control in running and maximal contractions.
Purpose of the Study:
- To investigate muscle activation patterns during walking.
- To analyze the timing and synchronization of thigh muscle activity relative to heel strike.
- To understand the neural control mechanisms underlying gait stabilization.
Main Methods:
- Electromyographic (EMG) signals were recorded from thigh muscles during walking.
- Wavelet transform (92-395Hz) was used to extract EMG power.
- Analysis focused on a 500ms window around heel strike (250ms before and after).
Main Results:
- Wavelet-based EMG analysis detected synchronized activation of thigh muscles during walking.
- Muscle activation, on average, is controlled by neuromuscular activity paced at approximately 40ms, despite signal jitter.
- Temporal dependencies in muscle activation intensity peaks were resolved, offering insights into neural control.
Conclusions:
- The study demonstrates synchronized thigh muscle activation during walking, indicative of controlled neuromuscular activity.
- The findings provide a deeper understanding of the neural control of locomotion and gait stabilization.
- This methodology can potentially differentiate between normal and impaired neuromuscular gait control.

