An intraoperative patient anesthesia state evaluation system based on electroencephalogram signals and muscle relaxation monitoring

Abstract

The application discloses an intraoperative patient anesthesia state evaluation system based on electroencephalogram signals and muscle relaxation monitoring, comprising: a weight generation module, which is used for generating a first weight and a second weight according to a personalized vector and an electroencephalogram consciousness prediction index and a personalized vector and a muscle relaxation monitoring prediction index respectively; wherein the first weight represents the contribution degree of the personalized vector to the electroencephalogram consciousness index, and the second weight represents the contribution degree of the personalized vector to the muscle relaxation monitoring index; an anesthesia state generation module, which is used for generating a corresponding anesthesia state according to the anesthesia state evaluation value; the application introduces the first weight and the second weight in the anesthesia state evaluation method, combines the model-predicted electroencephalogram consciousness index, the muscle relaxation monitoring index and the real-time acquired personalized vector, can quantize the influence of the personalized characteristics on the anesthesia state, makes the anesthesia state evaluation consider the physiological characteristic differences of patients, and makes the anesthesia state evaluation more personalized and targeted.

Images