Stochastic modelling of respiratory system elastance for mechanically ventilated respiratory failure patients

• Main Authors: Wai Lee, Jay Wing, Chiew, Yeong Shiong, Wang, Xin, Tan, Chee Pin, Mat Nor, Mohd Basri, Damanhuri, Nor Salwa, Chase, Geoffrey, ,
• Format: Article
• Language: English; English
• Published: Kluwer Academic Publishers 2021
• Subjects: RC731 Specialties of Internal Medicine-Diseases of The Respiratory System; RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid; TJ Mechanical engineering and machinery
• Online Access: http://irep.iium.edu.my/92724/7/92724_Stochastic%20modelling%20of%20respiratory%20system%20elastance_SCOPUS.pdf; http://irep.iium.edu.my/92724/8/92724_Stochastic%20modelling%20of%20respiratory%20system%20elastance.pdf; http://irep.iium.edu.my/92724/; https://link.springer.com/article/10.1007%2Fs10439-021-02854-4; https://doi.org/10.1007/s10439-021-02854-4

While lung protective mechanical ventilation (MV) guidelines have been developed to avoid ventilator induced lung injury (VILI), a one-size-fits-all approach cannot benefit every individual patient. Hence, there is significant need for the ability to provide patient-specific MV settings to ensure sa...