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<p>This paper presents a model-based approach to analyzing the performance of respirator devices utilizing system identification techniques with the help of state-space modelling i.e. SSREGEST and N4SID technologies. The proposed approach deals with constructing dynamic models that characterize the behaviour of respirator systems taking various external inputs (age, gender etc.) which are changeable subject with FEV1 (forced expiratory volume in one sec) and PEF (peak expiratory flow). A modified comparison function introduced in system to simplify the function with respect to the age (up to 13&#xa0;years and above 13&#xa0;years) also considered in terms of gender. With N-state values for all the systems give the standard estimated fit (range 88% to 98%) and efficiency (range 80–88%).</p>

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Development and performance analysis of a human respiratory system using state-space model-based system identification technique

  • 期刊论文

  • 发表日期：

    2025年1月7日

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  • Moupali Roy,
  • Saptarshi Basu,
  • Biswarup Neogi,
  • Shubhankar Majumdar,
  • Prabir Saha

摘要

This paper presents a model-based approach to analyzing the performance of respirator devices utilizing system identification techniques with the help of state-space modelling i.e. SSREGEST and N4SID technologies. The proposed approach deals with constructing dynamic models that characterize the behaviour of respirator systems taking various external inputs (age, gender etc.) which are changeable subject with FEV1 (forced expiratory volume in one sec) and PEF (peak expiratory flow). A modified comparison function introduced in system to simplify the function with respect to the age (up to 13 years and above 13 years) also considered in terms of gender. With N-state values for all the systems give the standard estimated fit (range 88% to 98%) and efficiency (range 80–88%).