Key result
A universal image-based system operating in Matlab-Simulink successfully and reliably acquired the PSi signal from a Masimo Root with SedLine patient monitor for depth of anesthesia control.
Why the study?
Closed-loop depth of anesthesia control requires real-time signal acquisition, but patient monitors cannot connect to external devices during procedures for safety reasons.
An image-based system can reliably acquire real-time PSi signals from patient monitors for depth of anesthesia control, bypassing the need for direct external device connections.
May enable indirect PSi monitoring without hardware interfaces; leaves open clinical validation before adoption.
Depth of anesthesia (DoA) is determined by assessment of relevant clinical signs, interpretation of hemodynamic measurements, and EEG measurements. The induction and proper dosing of anesthetic agents is an essential task of the anesthesiologist during a diagnostic procedure or surgery under general anesthesia. Therefore, DoA control seems to be a suitable problem to tackle with a closed loop control approach. One must be able to acquire the relevant signals online and in real time, but patient monitors are intentionally not able to connect to an external device during a procedure for safety reasons. The article introduces a universal image-based system for signal acquisition from a patient monitor that operates in the Matlab-Simulink environment for convenient integration into DoA modelling, simulation, and control. In addition, it provides the anesthesiologist with a simple dashboard that displays key acquired signal values and trends. The system has been tested on a Masimo Root with SedLine patient monitor. The results show that the PSi signal can be reliably acquired.
No takes yet. Share an insight, caveat, or question.
Gorazd Karer (2020) studied General anesthesia. Universal image-based system for signal acquisition was evaluated on Reliable acquisition of PSi signal. A universal image-based system operating in Matlab-Simulink successfully and reliably acquired the PSi signal from a Masimo Root with SedLine patient monitor for depth of anesthesia control.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: