Instrumentation for measurement and control in anaesthesia

The authors present DSP-based instrumentation for real-time measurement and control of high frequency jet ventilation in the area of critical care medicine. The system has been initially developed to test the hypothesis that acoustic resonance of the respiratory airways represents an optimal state for alveolar gas exchange. Real-time signal processing algorithms have been implemented around a user-friendly system to aid in the identification of transfer function relationships between respiratory data. This analysis is the first step towards developing an automatically controlled, self-tuning high frequency jet ventilator