BECAS
RIVA Diego Alejandro
artículos
Título:
Efficient algorithm for pulmonary nonlinear model online estimation of patients under assisted ventilation
Autor/es:
DIEGO A. RIVA; CAROLINA A. EVANGELISTA; PAUL F. PULESTON
Revista:
WSEAS transactions on biology and biomedicine
Editorial:
WSEAS
Referencias:
Lugar: Wisconsin; Año: 2023
ISSN:
1109-9518
Resumen:
An efficient algorithm to estimate a respiratory system nonlinear model of sedated patients under assisted ventilation is presented. The considered model comprises an airways resistance and a volume-dependant compliance and, for each respiratory cycle, the proposed algorithm provides online the model parameters guaranteeing a minimum accuracy, above a user-defined threshold. Relying on standard nonlinear identification techniques, it exhibits computational burden reduction features, which contribute to its suitability for its online application.