Modeling of the Changes in Heart Rate and Blood Pressure with Characteristic Respiratory Waveform during Surgery under Local Anesthesia

We are developing a model that can represent the physiological and mental responses of a patient at each stage of a surgical procedure during endoscopic sinus surgery under local anesthesia. In this study, causal influence structures among changes in heart rate and blood pressure and characteristic shapes on respiratory waveform were constructed using a Bayesian network. We defined ten respiratory waveform indices indicating breath-holding behaviors and respiratory irregularities. According to the results of analysis and model construction, the defined indices demonstrate improvements in the ability to predict the changing direction of blood pressure in all patients.