M. C. Thompson;C. T. Freeman;N. O’Brien;A.-M. Hughes;R. Marchbanks;A. Birch
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Model Predictive Valve Control to Assist Lung Pressure Profile Tracking
In U.K. 60 000 people have a brain tumor and typically are unaware of its presence until symptoms occur. Currently, there is no mass screening available due to limitations in diagnostic techniques. Measurement of intracranial pressure (ICP) [via tympanic membrane displacement (TMD)] is a potential low-cost, accessible solution; however, pressure fluctuations degrade its accuracy. This article solves the problem by assisting participants to precisely track airway pressure profiles. This stabilizes intrathoracic pressure, significantly reducing the fluctuations and enabling accurate diagnosis of ICP. This article develops and evaluates the first model of lung pressure tracking to embed volitional control action. A clinically feasible identification approach is then derived, together with a novel model predictive control (MPC) framework, embedding a valve control subsystem. Results with ten participants confirm that tracking is improved by an average of 22%.
期刊介绍:
The IEEE Transactions on Control Systems Technology publishes high quality technical papers on technological advances in control engineering. The word technology is from the Greek technologia. The modern meaning is a scientific method to achieve a practical purpose. Control Systems Technology includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware. A primary purpose of the IEEE Transactions on Control Systems Technology is to have an archival publication which will bridge the gap between theory and practice. Papers are published in the IEEE Transactions on Control System Technology which disclose significant new knowledge, exploratory developments, or practical applications in all aspects of technology needed to implement control systems, from analysis and design through simulation, and hardware.