Oximetry feedback flow control simulation for oxygen therapy

MG Iobbi, AK Simonds, RJ Dickinson - Journal of clinical monitoring and …, 2007 - Springer
Journal of clinical monitoring and computing, 2007Springer
Abstract Objectives For many with Chronic Obstructive Pulmonary Disease (COPD), arterial
oxygen saturation while receiving Long-Term Oxygen Therapy (LTOT) falls below an
acceptable threshold (SpO 2< 90%) for extended periods during routine daily activities.
Using a closed-loop controller, we have evaluated a simulated method to automatically
regulate the oxygen flow-rate in response to the measured oxygen demand. Methods The
closed-loop control scheme was implemented in a computer simulation on Simulink™ …
Objectives
For many with Chronic Obstructive Pulmonary Disease (COPD), arterial oxygen saturation while receiving Long-Term Oxygen Therapy (LTOT) falls below an acceptable threshold (SpO2 < 90%) for extended periods during routine daily activities. Using a closed-loop controller, we have evaluated a simulated method to automatically regulate the oxygen flow-rate in response to the measured oxygen demand.
Methods
The closed-loop control scheme was implemented in a computer simulation on Simulink™. Feedback from a pulse oximeter was used to maintain a target SpO2 of 91% by changing the oxygen flow-rate to the patient. The controller was evaluated using a model to approximate the patient’s arterial oxygen saturation response, including hypoxic events from artificial disturbances as well as recorded patient oximetry data.
Results
The simulated controller produced improvement in arterial oxygen saturation throughout a wide range of disturbance frequencies. It suppressed disturbances with periods greater than a couple of minutes by more than −10 dB. When evaluated with patient oximetry recordings, the controller on average reduced the time spent with arterial blood saturation below threshold by 76%. Given the same volume of oxygen, the closed-loop controller also produced a 63% improvement compared to fixed flow-rate LTOT.
Conclusions
The simulation findings indicate an optimized matching between oxygen supply and demand, maintaining SpO2 above threshold to improve therapeutic efficacy compared to standard LTOT.
Springer
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