De Jonckheere J, Jeanne M, Keribedj A, Delecroix M, Logier R
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:506-509. doi: 10.1109/EMBC.2018.8512330.
General anesthesia is based on the use of hypnotic, muscle relaxant and analgesic drugs in order to render the patient unresponsive to the surgical procedure. The difficulty for anesthesiologists is then to determinate the minimum efficient dose to avoid any risk of under or over dosing. For several years, monitoring systems were developed in order to measure depth of hypnosis, myorelaxation and analgesia. As soon as all these monitoring systems became available, several teams worked on the closed-loop administration of anesthetic agents. We have developed a closed-loop system allowing the automatic administration of analgesic drugs. This system is based on the analysis of a heart rate variability based index: the ANI (Analgesia Nociception Index). In this paper, we describe this device and demonstrate its efficiency, repeatability and safety in a simulation environment.
全身麻醉基于使用催眠、肌肉松弛和镇痛药物,以使患者对手术过程无反应。麻醉医生面临的困难在于确定最小有效剂量,以避免用药不足或过量的任何风险。多年来,为了测量催眠深度、肌肉松弛和镇痛效果,开发了监测系统。一旦所有这些监测系统可用,几个团队就致力于麻醉剂的闭环给药。我们开发了一种允许自动给予镇痛药物的闭环系统。该系统基于对基于心率变异性的指标:镇痛伤害感受指数(ANI)的分析。在本文中,我们描述了该设备,并在模拟环境中证明了其有效性、可重复性和安全性。