Fiber Bragg Grating-Based Thumb Strain Analysis and Biomechanical Monitoring
DOI:
https://doi.org/10.48047/CU/54/01/83-89Keywords:
.Abstract
This study focuses on extracting and analyzing physiological signals to detect arthritis-related changes in muscle and circulatory responses. A dual-function optical sensor capable of Photoplethysmography (PPG) and Optical Myography (OMG) was employed for data collection. The experiment involved recording light absorption variations during muscle contraction exercises and pulse monitoring. The Sentea software was utilized to interface with the sensors, enabling precise data acquisition and exporting the results in CSV format. Advanced signal processing was conducted using OriginPro, where noise filtering and waveform analysis were performed to derive meaningful insights. The methodology combines robust data acquisition with comprehensive analysis, providing a foundation for understanding arthritis-related physiological variations.
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References
World Health Organization (WHO), “Cardiovascular diseases(CVDs), Fact sheet N°317,” January 2015. [Online].
Available: http://www.who.int/mediacentre/factsheets/fs317/en/
Y. Miyauchi, S. Koyama and H. Ishizawa, "Basic experiment of blood-pressure measurement which uses FBG sensors," 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Minneapolis, MN, USA, 2013, pp. 1767-1770, doi:
1109/I2MTC.2013.6555718.
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