Name
Abstract | ||
|---|---|---|
•Gaussian effort model (GEM) can capture the respiratory mechanics in the presence of patient effect in volume control ventilation mode.•GEM model can be used to assess and quantify patient-ventilation interaction.•The linear combination of three Gaussian functions solves the problem of non-linearity to model patient effort.•GEM model determines basis functions magnitudes which can be used to simulate any waveform of patient effort pressure. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cmpb.2019.105103 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Mechanical ventilation,Respiratory mechanics model,Inspiratory effort,Asynchrony | Computer vision,Nonlinear system,Computer science,Control theory,Waveform,Nonlinear regression,Basis function,Artificial intelligence,Mechanical ventilation,Breathing,Respiratory failure,Respiratory physiology | Journal |
Volume | ISSN | Citations |
183 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ganesa Ramachandran Arunachalam | 1 | 0 | 0.34 |
| Yeong Shiong Chiew | 2 | 12 | 6.19 |
| Chee Pin Tan | 3 | 195 | 26.79 |
| Azrina Mohd Ralib | 4 | 0 | 0.34 |
| Mohd Basri Mat Nor | 5 | 0 | 0.68 |