Fiber Bragg Grating Array-based Belts for Respiratory Activity Monitoring: Respiratory Signal Analysis

This study focuses on the application of Fiber Bragg Grating Arrays (FBGA) for monitoring respiratory activity. Respiratory belts were placed on the chest, and upper and lower abdomen, and data was acquired in standing, sitting, and supine position for varied breathing patterns i.e. Normal, Accelerated, and Apnea. In the study, wavelets were utilized as compared to conventional filter-based techniques and Daubechies has been observed to be more reliable as a minimal amount of RMSE and PRD were reported. Coherence index values above threshold values ($\gt 0.5$) were reported majorly for all postures indicating the similarity of frequency components contained within array data. Limitations of conventional techniques for monitoring respiratory activity and variations observed in breathing patterns are also discussed in the conducted study.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/iceaa61917.2024.10702004
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Fiber Bragg Grating Array-based Belts for Respiratory Activity Monitoring: Respiratory Signal Analysis

Manish Mishra, Prasant Kumar Sahu
Non-Invasive Vital Sign Monitoring
article

Fiber Bragg Grating Array-based Belts for Respiratory Activity Monitoring: Respiratory Signal Analysis

Manish Mishra, Prasant Kumar Sahu
article en

Abstract

This study focuses on the application of Fiber Bragg Grating Arrays (FBGA) for monitoring respiratory activity. Respiratory belts were placed on the chest, and upper and lower abdomen, and data was acquired in standing, sitting, and supine position for varied breathing patterns i.e. Normal, Accelerated, and Apnea. In the study, wavelets were utilized as compared to conventional filter-based techniques and Daubechies has been observed to be more reliable as a minimal amount of RMSE and PRD were reported. Coherence index values above threshold values ($\gt 0.5$) were reported majorly for all postures indicating the similarity of frequency components contained within array data. Limitations of conventional techniques for monitoring respiratory activity and variations observed in breathing patterns are also discussed in the conducted study.

Indian Institute of Technology Bhubaneswar (IN)
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Non-Invasive Vital Sign Monitoring
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