首页> 外文会议>IFAC Symposium on Modeling and Control in Biomedical Systems >GARCH MODELS FOR DRUG EFFECTS ON PATIENT HEART RATE, DURING GENERAL ANAESTHESIA
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GARCH MODELS FOR DRUG EFFECTS ON PATIENT HEART RATE, DURING GENERAL ANAESTHESIA

机译:GARCH模型用于患者心率,在全身麻醉期间

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摘要

A model that can describe the effect of anaesthetic drugs on patient's heart rate (HR) is of great importance when considering haemodynamic stability under surgery. A Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model was used to model HR considering the effect concentrations of the anaesthetic propofol and the analgesic remifentanil, using the clinical data of 16 patients. The model was able to capture the HR trend in all 16 patients with very small errors throughout the surgical time. A correlation was found between the GARCH parameters and patient baseline characteristics, leading to the possibility a patient adjusted adaptive model.
机译:一种模型,可以描述麻醉药物对患者心率(HR)的影响在考虑手术下的血液动力学稳定性时具有重要意义。通过16例患者的临床资料,使用了考虑麻醉异丙酚和镇痛雷芬尼尼的效果浓度的HR模拟HR。该模型能够在整个手术时间内捕获所有16名患者的HR趋势。在GARCH参数和患者基线特征之间发现了相关性,导致患者调整的适应性模型的可能性。

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