JOURNAL ARTICLE

A 3-D-Printed Wearable Sensor Based on Fiber Bragg Gratings for Shoulder Motion Monitoring

Alfredo DimoUmile Giuseppe LongoEmiliano SchenaDaniela Lo Presti

Year: 2024 Journal:   IEEE Sensors Journal Vol: 24 (10)Pages: 16145-16152   Publisher: IEEE Sensors Council

Abstract

Rotator cuff (RC) injury is a common pathology that involves the tearing and weakening of the muscles and tendons that make up RC. Rehabilitation after surgery is crucial for recovery and restoring range of motion (ROM). Currently, the assessment of a patient's improvement relies on subjective evaluations by physicians. To objectively evaluate the patient recovery, motion capture systems (MOCAP) can be used in this scenario. However, MOCAP require extremely structured environments and specialists. To overcome this issue, the combined use of flexible sensors with 3D printing techniques has been proposed. This solution will allow developing highly performant wearables with a reduced encumbrance, easy to use, and compliant with the human skin. In this study, we exploited the advantages of fiber Bragg gratings combined with those of 3D printing to propose a transformative approach in the field of wearables for shoulder monitoring. Firstly, the 3D-printed sensor was designed and fabricated using thermoplastic polyurethane as printing filament to make the system flexible. One of the main novelties relies on the direct integration of the anchorage mechanism (two extensible elements) during printing. To the best of our knowledge, this is one of the first works in which this approach is proposed. Then, the sensor was metrologically assessed to investigate its sensitivity to strain and temperature, and the hysteresis error. Finally, a preliminary assessment on a healthy volunteer was proposed to assess the system capability of monitoring shoulder flexion-extension movements with different ROMs and movement rates in the sagittal plane showing promising results.

Keywords:
Wearable computer Computer science Motion capture Fiber Bragg grating Sensitivity (control systems) Materials science Artificial intelligence Optical fiber Motion (physics) Embedded system Engineering Electronic engineering

Metrics

15
Cited By
5.54
FWCI (Field Weighted Citation Impact)
41
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Fiber Optic Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Shoulder Injury and Treatment
Health Sciences →  Medicine →  Surgery
Advanced Fiber Laser Technologies
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics
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