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Measurement of Maximum Isometric Force Generated by Permeabilized Skeletal Muscle Fibers
Published on: June 16, 2015
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Prediction of three dimensional maximum isometric neck strength.
Jason B Fice1, Gunter P Siegmund, Jean-Sébastien Blouin
1School of Kinesiology, University of British Columbia, Vancouver, BC, Canada.
Annals of Biomedical Engineering
|June 5, 2014
Summary
Neck strength in three dimensions can be predicted using principal axes strength measurements. This simplifies biomechanical model validation for neck strength across various directions.
Area of Science:
- Biomechanics
- Human Movement Science
- Orthopedics
Background:
- Neck strength is crucial for injury prevention and rehabilitation.
- Accurate biomechanical models are essential for understanding neck function and injury mechanisms.
- Current methods for measuring neck strength can be complex and time-consuming.
Purpose of the Study:
- To determine if three-dimensional (3D) neck strength can be predicted from principal axes strength measurements.
- To simplify the validation process for biomechanical neck models.
- To provide a more efficient method for assessing maximum isometric neck strength.
Main Methods:
- Measured maximum isometric neck moments in 9 male volunteers across 17 different directions.
- Normalized 3D moments by principal axis moments to compare strength across directions.
- Used principal axis moments to predict resultant moments in off-axis directions.
Main Results:
- Maximum moments varied by direction, with extension being the strongest (51±11 Nm) and axial rotation the weakest (13±5 Nm).
- Normalized 3D moments were generally close to unity, indicating predictability.
- Predicted resultant moments showed a strong correlation with measured values (r²=0.88).
Conclusions:
- Maximum 3D neck strength can be reliably predicted using principal axes strength measurements.
- This finding simplifies biomechanical model validation and neck strength assessment.
- The study provides a practical method for researchers and clinicians to evaluate neck strength efficiently.
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