Detection of Segmental Spinal Motion in Gait of Subjects Suffering From Back Pain Using Surface Topography

16 Pages Posted: 1 Apr 2022

See all articles by Johanna Kniepert

Johanna Kniepert

Johannes Gutenberg University Mainz

Ulrich Betz

Johannes Gutenberg University Mainz - Institute of Physical Therapy, Prevention and Rehabilitation

Jürgen Konradi

Johannes Gutenberg University Mainz

Janine Huthwelker

Johannes Gutenberg University Mainz

Claudia Wolf

Johannes Gutenberg University Mainz

Ruben Westphal

Johannes Gutenberg University Mainz

Philipp Drees

Johannes Gutenberg University Mainz

Abstract

Summary of Background Data: Little is known about the effect of back pain on the segmental motion of the spine and there exists no information on measuring results or applicability of dynamic surface topography. Using a mathematical algorithm, conclusions can be drawn from the surface to the underlying spine, providing a threedimensional (3D) position of each thoracic and lumbar vertebral body during gait with a frequency of 60 Hz.

Research Question: How do spinal segments move in subjects with back pain? Is dynamic surface topography clinically applicable to patients suffering from back pain? Methods: Prospective observational cohort study. Following the modification of the DIERS 4Dmotion®Lab, 32 subjects with back pain between C7 and L5 were examined while walking on a treadmill (2, 3, 4 and 5 km/h). The rotational motion of the spinal segments in the painful area was compared to the motion of a healthy reference group. To present segmental rotation, an own calculation concept was designed.

Results: At speeds of 2–4 km/h, back pain subjects showed a greater total segmental rotation. With greater pain intensity or a BMI > 29, a greater total segmental rotation was seen at all speeds, compared to lower pain intensity, a BMI ≤ 29 or a healthy reference group. There was no evidence of a connection between greater pain and BMI.

Significance: The device is a cost-effective, easy-to-use method that can be used on back pain patients in everyday clinical practice. However, for clinical application, future research should concentrate on AI-based interpretation of measuring results and investigate the influence of tissue and muscle effects on the analyses during gait. Yet, this study can present the first data on the segmental motion of back pain using an own and easy-to-adapt calculation concept for segmental motion.

Note:
Trial Registration Details: The trial is registered with the World Health Organization (INT: DRKS00013145).

Funding Information: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Declaration of Interests: The authors declare no conflicts of interest.

Ethics Approval Statement: The study was approved by the Ethics Committee of the medical chamber Rhineland Palatinate Germany (837.321.17 (11155)). The collected data was pseudonymized. All volunteers were fully informed about the study and gave their written consent.

Keywords: spine motion, gait analysis, surface topography, segmental motion, rasterstereography, back pain

Suggested Citation

Kniepert, Johanna and Betz, Ulrich and Konradi, Jürgen and Huthwelker, Janine and Wolf, Claudia and Westphal, Ruben and Drees, Philipp, Detection of Segmental Spinal Motion in Gait of Subjects Suffering From Back Pain Using Surface Topography. Available at SSRN: https://ssrn.com/abstract=4072902 or http://dx.doi.org/10.2139/ssrn.4072902

Johanna Kniepert

Johannes Gutenberg University Mainz ( email )

Ulrich Betz (Contact Author)

Johannes Gutenberg University Mainz - Institute of Physical Therapy, Prevention and Rehabilitation ( email )

Germany

Jürgen Konradi

Johannes Gutenberg University Mainz ( email )

Janine Huthwelker

Johannes Gutenberg University Mainz ( email )

Claudia Wolf

Johannes Gutenberg University Mainz ( email )

Ruben Westphal

Johannes Gutenberg University Mainz ( email )

Philipp Drees

Johannes Gutenberg University Mainz ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
23
Abstract Views
139
PlumX Metrics