Laser & Optoelectronics Progress, Volume. 60, Issue 11, 1106030(2023)

Research on Respiratory Measurement and Classification Based on Fiber Bragg Grating

Zhisheng Zhang1, Shengpeng Wan1、*, Lü Weilong1, and Junsong Yu2、**
Author Affiliations
  • 1Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province, Nanchang Hangkong University, Nanchang 330063, Jiangxi , China
  • 2Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, Jiangxi , China
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    Figures & Tables(8)
    FBG sensor package installation. (a) Packaged FBG sensors; (b) test installation of body parts
    Principle block diagram of respiratory signal acquisition system
    Collected respiratory signals. (a) Cough; (b) hold breathing; (c) normal breathing; (d) breathing after exercise
    Signal denoised by wavelet decomposition reconstruction of normal respiratory signal
    SVM binary classification schematic
    Particle swarm search flow chart
    Fitness curve of PSO optimization algorithm
    Confusion matrix of four kinds of respiratory signals. (a) SVM classification confusion matrix; (b) PSO-SVM classification confusion matrix
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    Zhisheng Zhang, Shengpeng Wan, Lü Weilong, Junsong Yu. Research on Respiratory Measurement and Classification Based on Fiber Bragg Grating[J]. Laser & Optoelectronics Progress, 2023, 60(11): 1106030

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Apr. 23, 2023

    Accepted: May. 24, 2023

    Published Online: Jun. 14, 2023

    The Author Email: Shengpeng Wan (sp_wan@163.com), Junsong Yu (70940@nchu.edu.cn)

    DOI:10.3788/LOP231136

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