Novel assisted cough system based on simulating cough airflow dynamics

Shuai Ren, Jinglong Niu, Maolin Cai, Liming Hao, Yan Shi*, Weiqing Xu, Zujin Luo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Abstract: Cough is a defensive behavior that protects the respiratory system from infection and clears airway secretions. Cough airflow dynamics have been analyzed by a variety of mathematical and experimental tools. In this paper, the cough airflow dynamics of 42 subjects were obtained and analyzed. An identification model based on piecewise Gauss function for cough airflow dynamics is proposed through the dimensionless method, which could achieve over 90% identification accuracy. Meanwhile, an assisted cough system based on pneumatic flow servo system is presented. The vacuum situation and feedback control are used to increase the simulated peak cough flow rate, which are important for airway secretion clearance and to avoid airway collapse, respectively. The simulated cough peak flow could reach 5 L/s without the external assistance such as manual pressing, patient cooperation and other means. Finally, the backstepping control is developed to generate a simulated cough airflow that closely mimics the natural cough airflow of humans. The assisted cough system opens up wide opportunities of practical application in airway secretion clearance for critically ill patients with COVID 2019 and other pulmonary diseases. Graphic abstract: [Figure not available: see fulltext.].

Original languageEnglish
Pages (from-to)479-489
Number of pages11
JournalBio-Design and Manufacturing
Volume4
Issue number3
DOIs
Publication statusPublished - Sept 2021
Externally publishedYes

Keywords

  • Airflow dynamics
  • Airway secretion clearance
  • Model identification
  • Pneumatic system
  • Simulated cough

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