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Published on: September 30, 2019
Development of an optical fiber sensor for angular displacement measurements
Gu-In Jung1, Ji-Sun Kim, Tae-Hee Lee
1Department of Biomedical Engineering, College of Biomedical and Health Science, Konkuk University, Chungju, South Korea Department of Biomedical Engineering, Research Institute of Biomedical Engineering, Konkuk University, Chungju, South Korea.
This study introduces a novel optical fiber sensor for real-time joint angle measurement, crucial for patient recovery monitoring after surgery or injury. The sensor offers a simple, cost-effective solution for rehabilitation and sports science applications.
Area of Science:
- Biomedical Engineering
- Optical Sensing
- Rehabilitation Technology
Background:
- Accurate joint angle measurement is vital for assessing patient recovery post-injury or surgery.
- Existing methods may lack real-time capabilities or cost-effectiveness for widespread clinical use.
Purpose of the Study:
- To develop and validate a simple, cost-effective optical fiber sensor for real-time joint angle measurement.
- To investigate the influence of beveled fiber angles on sensor performance.
- To establish a mathematical model for accurate angular displacement calculation.
Main Methods:
- An optical fiber sensor with beveled fiber tips was designed to measure angular displacement.
- The relationship between beveled fiber angle and detected light signal was analyzed.
- Inverse polynomial models and Lab-VIEW software were employed for real-time data acquisition and analysis.
Main Results:
- Beveled fiber tips effectively redirected light, enabling angular measurement.
- A strong correlation was observed between actual joint angles and Lab-VIEW output angles.
- The proposed sensor demonstrated real-time evaluation capabilities.
Conclusions:
- The developed optical fiber sensor provides a simple, cost-effective, and real-time solution for joint angle measurement.
- This technology shows significant potential for applications in rehabilitation and sports science.
- The inverse polynomial model accurately translates optical signals into joint angle data.

