北京生物医学工程

无线镇痛系统的研制

Research on wireless analgesic system

作者：邓淇尹钟君刘永峰于涌蒋蓁

单位：中国科学院苏州生物医学工程技术研究所（苏州 215163）<p>上海大学机电工程与自动化学院（上海 200072）</p>

关键词：无线镇痛系统；低功耗；压力模块；报警；自控镇痛

分类号：R318.04

出版年·卷·期（页码）：2019·38·1（82-88）

摘要：

目的研制一套由镇痛泵泵头、路由基站和远程监控台组成的无线镇痛系统，以缓解术后患者的疼痛。方法镇痛泵泵头终端模块完成麻醉液输注的具体动作，并通过Wi-Fi与远程监控台进行无线数据通信。通过优化系统软件以及模块的电源管理等方面对镇痛泵泵头进行了低功耗软硬件设计；从机械装夹和软件校准等多方面提出了增大泵头精度的方法。基于压力模块和霍尔模块对镇痛泵报警方法进行了研究, 并建立模型，根据不同的算法提取压力信号相应的特征，从而识别出管路堵塞、有气泡、无液和正常工作4种状态。结果通过对研制的无线镇痛系统进行精度和工作时长测试以及管路4种不同工作状态报警分析，可知本系统能够正常工作，压力模块可精确报警。结论本系统的功耗低、精度高，具有精确的报警提示功能，可实现患者自控镇痛。

Objective In order to ease the pain of the postoperative patients, we design a wireless analgesic system, which consists of analgesic pump head, routing base station and remote monitoring platform. Methods The terminal module of analgesic pump head is used to complete the specific operation of the infusion and we can achieve the function of wireless data communication with remote monitoring stations via Wi-Fi. We have low-power hardware and software design by optimizing software and power management of modules. We propose the mothods of increasing the accuracy of the pump head from mechanical clamping , software calibration and other aspects. And we study the alarm method based on pressure module and Hall module of analgesia pump. The model is established and the signal’s corresponding features are extracted according to different algorithms to identify the four states of pipeline jam, air bubble, no liquid and normal work. Results Through the development of the wireless analgesia system for precision testing , working hours testing and pipeline alarm analysis of four different working state ,we know that the system can work normally and the pressure module can accurately alarm. Conclusions The system is low consumption, high precision, and this system can achieve patient-controlled analgesia.

参考文献：

[1] Apfelbaum JL, Chen C, Mehta SS, et al. Postoperative pain experience: results from a national survey suggest postoperative pain continues to be undermanaged[J]. Anesthesia & Analgesia, 2003, 97(2): 534-540.

[2] 佘守章. 一种术后镇痛的新方法—自控-靶控镇痛[J]. 广东医学, 2009, 30(8): 1043-1045.

Yu SZ. A new method of postoperative analgesia—controlled-target controlled analgesia[J]. Guangdong Medical Journal, 2009, 30(8):1043-1045.

[3] 朱滨. 基于Wi-Fi无线技术的智能镇痛泵系统设计[J]. 临床医学工程, 2012, 19(8):1243-1244.

Zhu B. Intelligent analgesia bump system design based on wi-fi wireless technology[J]. Clinical Medical & Engineering, 2012, 19(8):1243-1244.

[4] Zafar SU, Hamid M, Hoda MQ. Patient controlled intravenous analgesia (PCIA) in postoperative surgical patients: an audit[J]. The Journal of the Pakistan Medical Association, 2004, 54(7): 353-356.

[5] Boley TM, Reid AJ, Manning BT, et al. Sternotomy or bilateral thoracoscopy: pain and postoperative complications after lung-volume reduction surgery[J]. European Journal of Cardio-Thoracic Surgery, 2011, 41(1): 14-18.

[6] Dihle A, Bj?lseth G, Helseth S. The gap between saying and doing in postoperative pain management[J]. Journal of Clinical Nursing, 2006, 15(4): 469-479.

[7] 何苗, 冯艺, 陈杰，等. 无线远程镇痛泵监控系统用于术后患者镇痛管理的可行性及有效性研究[J]. 中国疼痛医学杂志, 2014, 20(5):308-313.

He M, Feng Y, Chen J, et al. Feasibility and efficacy of the wireless remote patient-controlled intravenous analgesia monitoring system for postoperative analgesia management[J]. Chinese Journal of Pain Medicine, 2014, 20(05):308-313.

[8] 刘文平. 输液泵流速稳定性及噪音影响因素的实验研究[D]. 广州：华南理工大学, 2012.

Liu WP. The experimental research of the infusion pump velocity stability and noise[D]. Guangzhou：South China University of Technology, 2012.

[9] 杨秋红. 无线镇痛泵系统在加速康复外科中的应用研究[D]. 宁波：宁波大学, 2017.

Yang QH. Research on the applications of the wireless remote patient-controlled intravenous analgesia monitoring system in enhanced recovery after surgery[D]. Ningbo：Ningbo University, 2017.

[10] 范冠鹏,潘亚培,王亚赛. 基于SAW和 STM32的温度监控系统设计[J]. 压电与声光, 2015, 37(04):684-688.

Fan GP, Pan YP, Wang YS. The design of temperature monitoring system based on surface acoustic wave and STM32[J]. Piezoelectrics & Acoustooptics, 2015, 37(04):684-688.

[11] 陈果, 郭庆, 王金宏等. 基于STM32的蓄电池检测系统[J]. 国外电子测量技术, 2012, 31(1):70-73.

Chen G, Guo Q, Wang JH, et al. Battery testing system based on the STM32 [J]. Foreign Electronic Measurement Technology, 2012, 31(1):70-73.

[12] 黄智伟. 低功耗系统设计[M]. 北京:电子工业出版社, 2011:1-8.

Huang ZW. Low-power system design [M]. Beijing: Publishing House of Electronics Industry, 2011:1-8.

[13] 刘伟伟. 嵌入式系统低功耗技术的研究和应用[D]. 郑州：郑州大学, 2012.

Liu WW. Research and application of low-power technologies inembedded system[D]. Zhangzhou：Zhengzhou University, 2012.

[14] 陈萌萌,邵贝贝. 单片机系统的低功耗设计策略[J]. 单片机与嵌入式系统应用, 2006，(3):5-7.

Chen MM, Shao BB. Low-power design strategy of single-chip microcomputer system[J]. Microcontrollers & Embedded Systems, 2006，(3):5-7.

[15] 中国国家标准化管理委员会. 便携式电动输液泵（YY/T 1469―2016）[S]. 北京：国家食品药品监督管理总局, 2016.

[16] 俞卫中, 俞文锴. 可智能镇痛的输注泵监控

系统及方法：103920208[P]. 2014-07-16.

服务与反馈：

【文章下载】【加入收藏】

提示：您还未登录，请登录！点此登录