| 摘要 |
Prior to initiating sedation of a subject (10), current values (30) of physiological parameters are measured for the subject using a sedation monitoring device (14, 16), including at least heart rate, a blood pressure, and a capnography parameter. A sedation dosing recommendation to achieve a desired level of sedation (36) is computed using the current values of the physiological parameters and past sedation subject data retrieve from a storage medium (24). The sedation dosing recommendation may be displayed on a display component (26, 28) or used as a default sedation dosing of an anesthesia machine (16). The past sedation subject data may comprise trained neural network parameters and the computing uses the trained neural network (22NN). The past sedation subject data may comprise trained Bayesian inference model parameters and the computing uses the trained Bayesian inference model (22BC). |
