Sökning: "respiratory system time constant"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden respiratory system time constant.
1. Artificial Neural Networks (ANN) in the Assessment of Respiratory Mechanics
Sammanfattning : The aim of this thesis was to test the capability of Artificial Neural Networks (ANN) to estimate respiratory mechanics during mechanical ventilation (MV). ANNs are universal function approximators and can extract information from complex signals. LÄS MER
2. Lung mechanics in the aging lung and in acute lung injury. Studies based on sinusoidal flow modulation
Sammanfattning : Knowledge about lung mechanics is of interest in intensive care to adjust mechanical ventilation and in the lung laboratory for diagnostics and evaluation of patients with various kinds of respiratory diseases. In mechanical ventilation a single inspiratory elastic pressure-volume (Pel/V) curve is difficult to interpret due to continuing re-expansion of collapsed lung units over a large pressure interval. LÄS MER
3. Lung Transplantation: Clinical and experimental studies
Sammanfattning : During the past 15 years lung transplantation has been established as a therapeutic option for patients with end-stage pulmonary disease. The results have improved over time and some transplantation centers now show 1-year survival rates above 80%. LÄS MER
4. FRC in acute lung injury. Experimental and clinical studies
Sammanfattning : Respiratory failure due to acute lung injury (ALI) of diffuse inflammatory origin is a major cause of respiratory failure treated in intensive care units. In ALI, FRC is reduced by various mechanisms associated with hypoxemia and consolidation of the lung. LÄS MER
5. Evaluation of Respiratory Mechanics by Flow Signal Analysis : With Emphasis on Detecting Partial Endotracheal Tube Obstruction During Mechanical Ventilation
Sammanfattning : Evaluating respiratory mechanics during dynamic conditions without interrupting ongoing ventilation and flow, adds to the information obtained from the mechanics derived from static (= no flow) conditions, i.e., the flow signal has the potential to provide information on the properties of the respiratory system (including the tubing system). LÄS MER