Analysis of roots in ARMA model for the classification of patients on weaning trials.
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.
Dept. ESAII, Escola Universitaria Enginyeria Tècnica Industrial de Barcelona (EUETIB), Universitat Politècnica de Catalunya (UPC), Institut de Bioingenyeria de Catalunya (IBEC), Barcelona, Spain. Beatriz.Giraldo@upc.edu
Beatriz F
BF
Giraldo
Benjamin W
BW
Gaspar
Pere
P
Caminal
Salvador
S
Benito
D000368:Aged; D000369:Aged, 80 and over; D060666:Airway Extubation / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D012044:Regression Analysis; D012119:Respiration; D012121:Respiration, Artificial; D012131:Respiratory Insufficiency / Q000145:classification / Q000503:physiopathology / Q000628:therapy*; D017211:Treatment Failure; D015300:Ventilator Weaning / Q000379:methods* / Q000706:statistics & numerical data