Related Experiment Video
Updated: May 20, 2026

08:24
Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
Published on: August 30, 2016
Validation of a multi-segment spinal model for kinematic analysis and a comparison of different data processing
R Needham1, N Chockalingam, R Naemi
1Staffordshire University, Stoke on Trent, UK. r.needham@staffs.ac.uk
Studies in Health Technology and Informatics
|June 30, 2012
Summary
This study validates a new multi-segment spinal model for accurate spine motion analysis. Optoelectronic motion capture and a validated model ensure reliable quantitative dynamic assessment of spinal pathology.
Area of Science:
- Biomechanics
- Medical Imaging
- Orthopedics
Background:
- Optoelectronic motion capture technology offers valuable quantitative dynamic assessment of the spine.
- Accurate spinal measurements are crucial for understanding musculoskeletal pathology and ensuring data comparability across studies.
Purpose of the Study:
- To introduce and validate a novel multi-segment spinal model for range of motion assessment.
- To establish reliable kinematic data for clinical investigations of spinal conditions.
Main Methods:
- Development of a mechanical multi-segment spinal model (upper thoracic, lower thoracic, lumbar).
- Integration of electrogoniometer and torsiometer for control measurements.
- Static trials conducted on the upper thoracic segment from 2-45° using optoelectronic motion capture.
Main Results:
- Software-computed angles demonstrated strong correlation with control measurements.
- The study confirmed the model's accuracy for range of motion assessment.
- Variations in angle estimation across different software platforms were noted.
Conclusions:
- The validated multi-segment spinal model provides accurate kinematic data for spine assessment.
- Clear description and understanding of the kinematic model are essential for consistent and comparable results.
- This technology aids in the quantitative dynamic assessment of spinal musculoskeletal pathology.