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Abstract

FBG-Based Sensing of the Back during Gait Cycle †

Photonics Research Group, The Hague University of Applied Sciences, Rotterdamseweg 137, 2628 AL Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Presented at the 9th International Symposium on Sensor Science, Warsaw, Poland, 20–22 June 2022.
Eng. Proc. 2022, 21(1), 36; https://doi.org/10.3390/engproc2022021036
Published: 30 August 2022
(This article belongs to the Proceedings of The 9th International Symposium on Sensor Science)

Abstract

:
We report on the calibration and testing of a fiber Bragg grating (FBG)-based 2D-shape sensing strip for real-time monitoring of the position and orientation of the human spine during gait. The strip is evaluated for its use as an input for control of an exoskeleton for patients with spinal cord injury. By measuring the torsion and bending of the back, walking movements can be reconstructed. The 3D-printed strip has nine embedded fiber Bragg gratings that are located at specific places with respect to the vertebral column. Three FBGs are placed opposite to the thoracic vertebrae T6–T9, these FBGs are sensitive for measuring the bending of the spine during the gait cycle. Torsion is measured at two locations: at thoracic vertebra, T3 and at lumbar vertebra, L3. At these locations, the width of the strip is reduced to have a larger sensitivity for torsion. The strain at each FBG is measured using an interrogator. This leads to the radius of curvature and torsion as a function of time. The Frenet-Serret formulae are used to calculate the shape of the strip during the gait cycle. We have calibrated this FBG strip for curvature by bending it at known radius of different curvatures. We found a linear dependence between the strain and curvature. For torsion calibration we have rotated the strip with a stepper motor at different angles and monitored the strain. We, again, found a linear dependence with a small hysteresis. We mounted the strip on a healthy test subject and monitored their gait cycle. The FBG strip shows similar results when compared to a motion capture system based on multiple cameras. Although the fixation of the strip to a garment or on the back directly strongly influences the measured response, it does show a periodic and reproducible signal during the gait cycle.

Author Contributions

Conceptualization, A.L.; methodology, A.L.; software, A.M.; validation, A.M. and A.L.; formal analysis, A.M.; investigation, A.M.; resources, S.V.d.B.; writing—original draft preparation, A.L.; writing—review and editing, S.V.d.B.; supervision, A.M. and S.V.d.B. All authors have read and agreed to the published version of the manuscript.

Funding

The Hague University of Applied Sciences.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lock, A.; Mellema, A.; Van den Berg, S. FBG-Based Sensing of the Back during Gait Cycle. Eng. Proc. 2022, 21, 36. https://doi.org/10.3390/engproc2022021036

AMA Style

Lock A, Mellema A, Van den Berg S. FBG-Based Sensing of the Back during Gait Cycle. Engineering Proceedings. 2022; 21(1):36. https://doi.org/10.3390/engproc2022021036

Chicago/Turabian Style

Lock, Arjan, Aaron Mellema, and Steven Van den Berg. 2022. "FBG-Based Sensing of the Back during Gait Cycle" Engineering Proceedings 21, no. 1: 36. https://doi.org/10.3390/engproc2022021036

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