Name
Abstract | ||
|---|---|---|
One objective of mechanical ventilation is the recovery of spontaneous breathing as soon as possible. Remove the mechanical ventilation is sometimes more difficult that maintain it. This paper proposes the study of respiratory flow signal of patients on weaning trials process by autoregressive moving average model (ARMA), through the location of poles and zeros of the model. A total of 151 patients under extubation process (T-tube test) were analyzed: 91 patients with successful weaning (GS), 39 patients that failed to maintain spontaneous breathing and were reconnected (GF), and 21 patients extubated after the test but before 48 hours were reintubated (GR). The optimal model was obtained with order 8, and statistical significant differences were obtained considering the values of angles of the first four poles and the first zero. The best classification was obtained between GF and GR, with an accuracy of 75.3% on the mean value of the angle of the first pole. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6346027 | 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
ventilation,poles and zeros,patient monitoring | Computer vision,Autoregressive–moving-average model,Ventilation (architecture),Mean value,Weaning,Mechanical ventilation,Patient care,Artificial intelligence,Breathing,Surgery,Statistics,Medicine | Conference |
Volume | ISSN | Citations |
2012 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beatriz F. Giraldo | 1 | 28 | 14.06 |
| Benjamin W Gaspar | 2 | 0 | 0.34 |
| Pere Caminal | 3 | 13 | 7.07 |
| Salvador Benito | 4 | 15 | 4.98 |