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Updated: May 9, 2026

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Method to Measure Tone of Axial and Proximal Muscle
Published on: December 14, 2011
Interpretation and parameterization of dynamic trunk isoinertial movements using an ensemble-averaging technique.
T S Keller1, M Szpalski, D M Spengler
1Department of Mechanical Engineering, University of Vermont, Burlington, VT, USA.
Clinical Biomechanics (Bristol, Avon)
|August 7, 2013
Summary
A new method accurately averages trunk movement data, simplifying analysis of kinematic patterns. This technique is ideal for storing and analyzing movement data, especially for low back pain patients.
Area of Science:
- Biomechanics
- Movement analysis
- Rehabilitation science
Background:
- Trunk movement analysis is crucial for understanding biomechanical function and diagnosing conditions like low back pain.
- Existing methods for analyzing trunk dynamometric data can be complex and data-intensive.
- There is a need for efficient and accurate techniques to parameterize kinematic movement patterns.
Purpose of the Study:
- To describe a novel procedure for averaging trunk dynamometric data (positions, velocities, torques).
- To demonstrate how this procedure enables the identification and parameterization of kinematic movement patterns.
- To illustrate the application of this technique in analyzing low back pain patient movement.
Main Methods:
- Averaging procedure applied to trunk dynamometric data.
- Identification and parameterization of kinematic movement patterns.
- Case study analysis of flexion-extension movement in two low back pain patients.
Main Results:
- The described procedure accurately averages trunk dynamometric data.
- The technique provides a compact data representation, facilitating storage and analysis.
- Kinematic movement patterns were successfully identified and parameterized.
Conclusions:
- The developed averaging technique is accurate and efficient for movement analysis.
- This method offers a valuable tool for the storage and analysis of complex biomechanical data.
- The procedure has practical applications in the assessment of movement disorders, such as in low back pain patients.
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