Abstract
Purpose: Patient-specific respiratory mechanics can be used to guide mechanical ventilation therapy. However, even in controlled ventilation modes, underlying respiratory mechanics can be masked by spontaneous breathing efforts. The aim of this study is to accurately assess respiratory mechanics for breathing cycles affected by these spontaneous breathing efforts. Methods: A pressure reconstruction by eliminating the demand effect of spontaneous respiration (PREDATOR) method is used to reconstruct pressure profiles to assess underlying respiratory mechanics (breath specific elastance and resistance). The method is tested on both simulated and clinical data comprising n=264 breaths. Results: Using simulated data, the standard deviation of identified elastance (σ=0.168) and resistance (σ=0.053) are both significantly smaller using PREDATOR (σ=1.009 and σ=0.348) (p<0.05 for both) compared to standard methods. Variability in identified elastance is significantly decreased in clinical data tested (p<0.05). Median [IQR] of the robust coefficient of variation in elastance for each pressure level using PREDATOR is 0.0518 [0.0278-0.0668] compared to 0.1211 [0.0854-0.1783] of the standard algorithm. Conclusions: The PREDATOR method provides a more accurate respiratory mechanics identification in the presence of spontaneous breathing. It provides the opportunity to use respiratory mechanics to guide mechanical ventilation therapy.
Original language | English |
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Title of host publication | IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences |
Subtitle of host publication | "Miri, Where Engineering in Medicine and Biology and Humanity Meet" |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 332-337 |
Number of pages | 6 |
ISBN (Electronic) | 9781479940844 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | IEEE-EMBS International Conference on Biomedical Engineering and Sciences (IECBES) 2014 - University of Malaya, Kuala Lumpur, Malaysia Duration: 8 Dec 2014 → 10 Dec 2014 https://ieeexplore.ieee.org/xpl/conhome/7033073/proceeding (Proceedings) |
Conference
Conference | IEEE-EMBS International Conference on Biomedical Engineering and Sciences (IECBES) 2014 |
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Abbreviated title | IECBES 2014 |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 8/12/14 → 10/12/14 |
Internet address |