The Intelligent Monitoring Safety of Anesthesia System

• Main Authors: Yen-Yu Hsieh, 謝彥酉
• Other Authors: Diann-Shing Shieh
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/99012458881570358499

碩士 === 元智大學 === 機械工程學系 === 91 === Safety of closed-loop control system of anaesthesia is an issue often raised as a matter of concern. As a result, many closed-loop control systems are reported in the literature merely as computer simulation studies and few ever reach the stage of physical realization and formal clinical evaluation. We address the safety issues involved with such systems which is focused on the lack of information provided by the conventional anaesthetic machine according to anaesthetists’ experience. It is hoped that the described methodology will facilitate and encourage the clinical application of closed-loop control systems so that clinical staff and patients may receive the benefits of closed-loop drug therapy. Furthermore, the baseline of systolic arterial pressure (SAP), diastolic arterial pressure (DAP), and heart rate (HR) used to determine the safety range of anaesthesia system were trained and tested using back-propagation and Elman neural networks algorithms. Finally, the comparison between different epochs, drugs, and anaesthetic stages are addressed in different neural networks.