The process of weaning from mechanical ventilation is one of the challenges in intensive care units. In this paper 66 patients under extubation process (T-tube test) were studied: 33 patients with successful trials and 33 patients who failed to maintain spontaneous breathing and were reconnected. Each patient was characterized using 7 time series from respiratory signals, and for each serie was extracted 4 statistics data. Two types of Neural Networks were applied for discriminate between patients from the two groups: radial basis function and multilayer perceptron, getting better results with the second type of network
Mechanical ventilation is an essential life-support treatment for patients who cannot breathe indepe...
The occurrence of asynchronous breathing (AB) during mechanical ventilation (MV) can have detrimenta...
In this project, a new method involving Artificial Neural Networks has been developed for Classifica...
The process of weaning from mechanical ventilation is one of the challenges in intensive care units....
The process of weaning from mechanical ventilation is one of the challenges in intensive care units....
The process of weaning from mechanical ventilation is one of the challenges in intensive care. 149 p...
The determination of the optimal time of the patients in weaning trial process from Mechanical Venti...
Abstract- The process of weaning from mechanical ventilation is one of the challenges in intensive c...
Background: Successful weaning from mechanical ventilation is important for patients in intensive ca...
The process of weaning from mechanical ventilation is one of the challenges in intensive care units....
During pressure support ventilation (PSV), excessive assist results in weak inspiratory efforts and ...
Patients suffering from respiratory failure are often put on assisted mechanical ventilation. Patien...
The aim of this thesis was to test the capability of Artificial Neural Networks (ANN) to estimate re...
Weaning from mechanical ventilation covers the process of liberating the patient from mechanical sup...
The aim of this thesis was to test the capability of Artificial Neural Networks (ANN) to estimate re...
Mechanical ventilation is an essential life-support treatment for patients who cannot breathe indepe...
The occurrence of asynchronous breathing (AB) during mechanical ventilation (MV) can have detrimenta...
In this project, a new method involving Artificial Neural Networks has been developed for Classifica...
The process of weaning from mechanical ventilation is one of the challenges in intensive care units....
The process of weaning from mechanical ventilation is one of the challenges in intensive care units....
The process of weaning from mechanical ventilation is one of the challenges in intensive care. 149 p...
The determination of the optimal time of the patients in weaning trial process from Mechanical Venti...
Abstract- The process of weaning from mechanical ventilation is one of the challenges in intensive c...
Background: Successful weaning from mechanical ventilation is important for patients in intensive ca...
The process of weaning from mechanical ventilation is one of the challenges in intensive care units....
During pressure support ventilation (PSV), excessive assist results in weak inspiratory efforts and ...
Patients suffering from respiratory failure are often put on assisted mechanical ventilation. Patien...
The aim of this thesis was to test the capability of Artificial Neural Networks (ANN) to estimate re...
Weaning from mechanical ventilation covers the process of liberating the patient from mechanical sup...
The aim of this thesis was to test the capability of Artificial Neural Networks (ANN) to estimate re...
Mechanical ventilation is an essential life-support treatment for patients who cannot breathe indepe...
The occurrence of asynchronous breathing (AB) during mechanical ventilation (MV) can have detrimenta...
In this project, a new method involving Artificial Neural Networks has been developed for Classifica...