基于互联网+技术的大病术后吹气练习仪设计
Design of Blowing Exercise Apparatus Based on Internet+ Technology for Postoperative Severe Disease
摘要: 手术是目前西医治疗重大疾病的一种常见手段,由于手术后容易感染(特别是肺部感染),并需要对肺部功能进行训练,一般在术后均安排有3~10天,每天不低于3次的吹气练习过程训练,以帮助病人恢复和增强感染抗体。本文设计采用气体传感器模块通过单片机系统采集和分析数据,再经过WIFI网络分别在手机APP上做出练习数据记录和提醒,同时将吹气练习信息传递给主治医生,以便通过吹气练习判断病人的治疗状态和分析病情、练习情况等。所有病人的吹气练习数据,都会保存在自己的手机APP端及网站云端,是典型的基于互联网+技术的智慧医疗设备系统。能有效地提升病人术后吹气练习的数据采集和分析,为疾病的治疗恢复和肺功能练习关联研究提供了数据支撑,也是大数据医疗的一个应用分支。
Abstract:
Surgery is currently a common method of Western medicine for treating major diseases. Due to the susceptibility to infection (especially lung infection) after surgery, and the need to train the function of the department, it is generally arranged for 3~10 days after surgery. Not less than 3 blow training exercises per day are done to help the patient recover from the lungs and enhance the infection antibodies. In this paper, the gas sensor module is used to collect and analyze data through the single-chip microcomputer system, and then make exercise data records and remind-ers on the mobile phone APP through the WIFI network. At the same time, the information of the insufflation practice is transferred to the attending doctor, so as to judge the patient’s treatment status and analyze illness, practice, etc. All patients' breathing practice data will be stored in their mobile APP and website cloud, which is a typical smart medical equipment system based on In-ternet+ technology. It can effectively improve the data collection and analysis of patients’ postop-erative insufflation exercises, provide data support for the treatment of disease recovery and es-tablish the relationship between breath and disease, and it is also an application branch of big data medical treatment.
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