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麻醉状态下心血管多参数监护系统的软件开发

Software Design for Cardiovascular Multi-parameter Monitoring System During Anesthesia

【作者】 刘静

【导师】 陈杭;

【作者基本信息】 浙江大学 , 生物医学工程, 2012, 硕士

【摘要】 镇静、镇痛和肌肉松弛是全身麻醉的主要组成成分,现代麻醉多为镇痛药、镇静药和肌松药的联合使用,各个药物的使用剂量相对独立,各个效应成分必须分别加以同时监测才能保证达到临床麻醉目标。目前在肌肉松弛和镇静监测方面,已有商品化的设备,并在临床上得到广泛应用,然而在镇痛监测方面,一些学者进行了相关研究,但迄今为止尚没有一个理想的客观指标用于评估麻醉过程中的“疼痛”、“镇痛”水平。论文的主要目的是在已有的硬件平台基础上开发一套用于手术过程中麻醉镇痛成分监测的软件系统,通过监护病人的伤害感受参数,辅助医生在麻醉过程中使用适当的镇痛药物剂量。论文的主要内容包括:1、介绍麻醉监护系统的研究方法和现状,对部分现有的镇痛指标做了简要的阐述。2、设计并开发心电图QRS波的检测、脉搏波特征点检测的相关算法,并对Pan-Tompkins算法和二阶导数最大值算法的时效性进行了分析。3、对软件系统进行了需求分析,设计了软件的系统结构,对系统的功能模块进行了详细的分析及功能研发,完成了麻醉状态下心血管多参数监护软件系统的开发。4、基于心血管多参数监护系统的硬件平台设计实验,验证本软件系统的实时性和使用性。实验结果表明麻醉状态下心血管多参数监护系统软件实时的计算并显示伤害感受参数,并且能够体现手术过程中病人受刺激后,心血管参数的变化,达到软件系统预期的目标。

【Abstract】 The three major components of anesthesia are analgesia, amnesia and immobilization. Modern anesthesia usually uses the combination medicine of analgesics, sedatives and muscle relaxants with independent dose, so each ingredient must be monitored in order to guarantee the achievement of clinical anesthesia target. There has been commercialized device in the area of muscle relaxation and sedation monitoring, and the device has been widely used in clinical. However, there isn’t an ideal objective indicator for the assessment of "pain" or "analgesia" level during anesthesia though so far.In this paper, on the basis of the existing hardware platform, we aim to develop the software of the system using for monitoring patient’s analgesic ingredient under anesthesia. By monitoring the patient’s nociceptive parameters, doctors can determine the dose of analgesic drugs.The contents are follows:1. Introduction of anesthesia monitoring system and the methods of research, part of the existing monitoring methods are briefly described.2. The design and development of electrocardiogram’s QRS detection, feature point of pulse wave detection algorithm, it also analyzes the timeliness of the Pan- Tompkins algorithm and the second derivative maximum algorithm.3. Analyze the requirements of the system and design the architecture of the software. A detail analysis is carried on the functional modules of the system. Then the software of cardiovascular multi-parameters monitoring system during anesthesia is finished.4. Based on the hardware of the system, design an experiment to verify the effectiveness and practical of the system.Experimental results show that software of cardiovascular multi-parameter monitoring system under anesthesia can calculate and display nociceptive parameters in real time. It also can reflect the changes in cardiovascular parameters after stimulating patients. Those verify the software of system finishing the expected targets.

  • 【网络出版投稿人】 浙江大学
  • 【网络出版年期】2012年 07期
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