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Updated: Jun 27, 2026
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Muscle Function Obtained with Motion Mode Ultrasound and Surface Electromyography during Core Endurance Exercise
Published on: August 25, 2022
Electromyographic assessment of trunk muscle activation amplitudes during a simulated lifting task using pattern
Heather L Butler1, Cheryl L Hubley-Kozey, John W Kozey
1Department of Industrial Engineering, Dalhousie University, Halifax, NS, Canada.
Summary
This study analyzed trunk muscle activity during lifting. Muscle recruitment strategies changed with task demands, showing balanced bracing for lighter loads and distinct back muscle activation for heavier loads.
Area of Science:
- Biomechanics
- Neuromuscular physiology
- Human movement analysis
Background:
- Understanding trunk muscle activation is crucial for preventing injuries.
- Previous research has focused on limited muscle sites or simplified tasks.
- Complex tasks require nuanced analysis of multi-site muscle coordination.
Purpose of the Study:
- To investigate neuromuscular response patterns across 24 trunk muscle sites during a symmetrical lift and replace task.
- To identify how muscle activation patterns vary with different physical demands and movement phases.
- To explore the utility of pattern recognition techniques in analyzing complex muscle recruitment strategies.
Main Methods:
- Recorded surface electromyograms (EMG) and kinematic data from 29 healthy subjects.
- Utilized pattern recognition techniques to analyze activation amplitude patterns.
- Applied Analysis of Variance (ANOVA) to identify significant differences in muscle recruitment patterns.
Main Results:
- Minimal trunk and pelvis motion was observed during the task.
- Three principal patterns explained 95% of the variance in muscle activation.
- Significant differences in principal pattern scores indicated changes in muscle recruitment strategies.
- Balanced abdominal and back muscle activation (bracing) occurred during lighter demands.
- Differential recruitment among back extensor sites was prominent in more demanding conditions.
Conclusions:
- Pattern recognition provides a novel approach to studying multi-muscle relationships.
- Muscle recruitment strategies adapt to varying stability and biomechanical demands during lifting.
- Findings offer insights into the neuromuscular control of the trunk during occupational tasks.
