CN211155815U - A blood oxygen monitoring and early warning medical system based on cloud database - Google Patents
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Abstract
Description
技术领域technical field
本公开涉及监控预警技术领域,特别涉及一种基于云数据库的血氧监测预警医疗系统。The present disclosure relates to the technical field of monitoring and early warning, in particular to a blood oxygen monitoring and early warning medical system based on a cloud database.
背景技术Background technique
本部分的陈述仅仅是提供了与本公开相关的背景技术,并不必然构成现有技术。The statements in this section merely provide background related to the present disclosure and do not necessarily constitute prior art.
随着人口老龄化加剧,心血管疾病、慢性呼吸疾病等慢性疾病患病率及死亡率处于上升阶段,占疾病死亡总人数的40%以上,为我国居民的首位死因。临床研究表明,部分慢性阻塞性肺病患者的血氧饱和度(SPO2)在夜间下降率达到30%以上,导致出现呼吸困难、缺氧、呼吸衰竭等症状,对患者生命造成威胁。血氧饱和度是人体身体健康情况重要参数之一,在麻醉、手术中及时掌握患者的SPO2,可预防手术时的意外死亡,血氧仪得到了广泛应用。临床应用的血氧仪,虽然可以为人们提供准确准确精度高、可持续的监测,但是成本高、需要专业人员使用。With the aging of the population, the prevalence and mortality of chronic diseases such as cardiovascular diseases and chronic respiratory diseases are on the rise, accounting for more than 40% of the total number of deaths from diseases, and it is the first cause of death for Chinese residents. Clinical studies have shown that the blood oxygen saturation (SPO 2 ) of some patients with chronic obstructive pulmonary disease falls by more than 30% at night, resulting in symptoms such as dyspnea, hypoxia, and respiratory failure, threatening the patient's life. Blood oxygen saturation is one of the important parameters of human health. Timely grasping the patient's SPO 2 during anesthesia and surgery can prevent accidental death during surgery, and oximeters have been widely used. Although clinical oximeters can provide people with accurate, accurate, and sustainable monitoring, they are costly and require professionals to use.
目前移动互联网技术的快速发展以及移动终端的普及,使得智能终端在移动医疗监控上得到广泛利用,医疗设备与移动终端相结合的监护系统开始引起人们关注。但是发明人在研究中发现,在当前广泛使用的血氧监测设备主要用于体征采集,这种采集方式受患者监测部位的皮肤异常、在佩戴设备位置发生异常和监测环境等因素影响较大;而且目前的血氧监测设备功能结构单一、可移动性差,且与远程监控融合较少。At present, the rapid development of mobile Internet technology and the popularization of mobile terminals have made intelligent terminals widely used in mobile medical monitoring. However, the inventor found in the research that the blood oxygen monitoring equipment widely used at present is mainly used for the collection of signs, and this collection method is greatly affected by factors such as skin abnormalities at the patient monitoring site, abnormalities at the position of the wearing device, and monitoring environment; Moreover, the current blood oxygen monitoring equipment has a single functional structure, poor mobility, and less integration with remote monitoring.
发明内容SUMMARY OF THE INVENTION
为了解决现有技术的不足,本公开提供了一种基于云数据库的血氧监测预警医疗系统,利用智能终端实现对人体脉搏、血氧和呼末二氧化碳的实时监测与分析,能够及时预防慢性呼吸疾病等慢性疾病,通过网络将数据存储到云端数据库,在云数据库上进行数据分析,并把分析结果显示在智能终端APP上,辅助医护人员以及医疗机构进行远程诊断,有效的实现了远程医疗。In order to solve the deficiencies of the prior art, the present disclosure provides a blood oxygen monitoring and early warning medical system based on a cloud database, which uses intelligent terminals to realize real-time monitoring and analysis of human pulse, blood oxygen and end-tidal carbon dioxide, and can timely prevent chronic breathing For chronic diseases such as diseases, the data is stored in the cloud database through the network, the data is analyzed on the cloud database, and the analysis results are displayed on the intelligent terminal APP to assist medical staff and medical institutions in remote diagnosis, effectively realizing telemedicine.
为了实现上述目的,本公开采用如下技术方案:In order to achieve the above object, the present disclosure adopts the following technical solutions:
一种基于云数据库的血氧监测预警医疗系统,包括数据采集模块、至少一个智能终端和至少一台服务器,所述数据采集模块与智能终端无线通信连接,用于采集脉搏、血氧和呼吸数据并实时传输给智能终端;所述智能终端与服务器无线通信连接,用于分析和存储脉搏、血氧和呼吸数据,实时显示呼末二氧化碳波形,并将采集到的数据和呼末二氧化碳波形实时传输给服务器;所述服务器根据采集到的数据和呼末二氧化碳波形得出诊断报告和告警信息,存储并传输给智能终端。A blood oxygen monitoring and early warning medical system based on a cloud database, comprising a data acquisition module, at least one intelligent terminal and at least one server, wherein the data acquisition module is connected with the intelligent terminal in wireless communication for collecting pulse, blood oxygen and respiration data and transmit it to the intelligent terminal in real time; the intelligent terminal is connected to the server through wireless communication for analyzing and storing pulse, blood oxygen and respiration data, displaying the end-tidal carbon dioxide waveform in real time, and transmitting the collected data and end-tidal carbon dioxide waveform in real time. to the server; the server obtains a diagnosis report and alarm information according to the collected data and the end-tidal carbon dioxide waveform, stores and transmits it to the intelligent terminal.
作为可能的一些实现方式,所述数据采集模块包括便携式血氧仪和便携式呼末二氧化碳监测仪,所述便携式血氧仪用于采集脉搏和血氧数据,所述便携式呼末二氧化碳监测仪用于采集呼末二氧化碳。As some possible implementations, the data acquisition module includes a portable oximeter and a portable end-tidal capnograph, the portable oximeter is used to collect pulse and blood oxygen data, and the portable end-tidal capnograph is used for Collect end-tidal carbon dioxide.
作为可能的一些实现方式,所述服务器为云服务器。As some possible implementations, the server is a cloud server.
作为可能的一些实现方式,所述数据采集模块与智能终端通过蓝牙连接。As some possible implementations, the data acquisition module is connected with the smart terminal through Bluetooth.
作为可能的一些实现方式,所述数据采集模块为便携式集成式血氧仪,所述便携式集成式血氧仪用于实时监测血氧、脉率、呼入CO2、呼末CO2和呼吸率。As some possible implementations, the data acquisition module is a portable integrated oximeter, which is used for real-time monitoring of blood oxygen, pulse rate, inhaled CO 2 , end-tidal CO 2 and respiratory rate .
作为可能的一些实现方式,所述智能终端还用于调取云服务器中存储的数据和诊断报告。As some possible implementations, the smart terminal is also used to retrieve data and diagnostic reports stored in the cloud server.
作为可能的一些实现方式,所述智能终端为手机、平板电脑或PDA。As some possible implementations, the smart terminal is a mobile phone, a tablet computer or a PDA.
作为可能的一些实现方式,所述智能终端上设有APP,通过低通滤波线性插值方法,实现滤波后的信噪比的有效控制。As some possible implementations, the smart terminal is provided with an APP, and the filtered signal-to-noise ratio can be effectively controlled through a low-pass filtering linear interpolation method.
作为可能的一些实现方式,所述无线通信方式为WIFI、4G或GPRS通信。As some possible implementation manners, the wireless communication manner is WIFI, 4G or GPRS communication.
作为可能的一些实现方式,所述智能终端通过可靠的TCP协议将数据直接上传到云服务器。As some possible implementations, the intelligent terminal directly uploads data to the cloud server through a reliable TCP protocol.
作为可能的一些实现方式,所述血氧仪包括传感器单元、数据处理单元和数据传输单元,所述传感器单元包括脉搏单元、血氧单元和呼吸单元,用于监测脉搏、血氧和呼末二氧化碳数据;所述数据处理单元用于根据呼末二氧化碳数据得到呼末二氧化碳波形图;所述数据传输单元为蓝牙模块,用于将采集到的数据和处理后的数据传输给移动终端。As some possible implementations, the oximeter includes a sensor unit, a data processing unit and a data transmission unit, the sensor unit includes a pulse unit, a blood oxygen unit and a breathing unit for monitoring pulse, blood oxygen and end-tidal carbon dioxide data; the data processing unit is used to obtain the end-tidal carbon dioxide waveform chart according to the end-tidal carbon dioxide data; the data transmission unit is a Bluetooth module, and is used to transmit the collected data and the processed data to the mobile terminal.
与现有技术相比,本公开的有益效果是:Compared with the prior art, the beneficial effects of the present disclosure are:
本公开所述的内容通过开发移动终端APP实现医疗血氧仪的实时监控,对用户生理信号进行实时数字信号处理,利用云服务器作为远程监护中心,将数据进行管理与分析,通过数据分析,评估监护者的健康情况,使监护者在家居环境下得到良好的监控。The content described in this disclosure realizes the real-time monitoring of the medical oximeter by developing the mobile terminal APP, performs real-time digital signal processing on the user's physiological signals, uses the cloud server as the remote monitoring center, manages and analyzes the data, and evaluates the data through the data analysis. The health status of the guardian enables the guardian to be well monitored in the home environment.
本公开所述的移动终端搭载有专用APP,是将血氧仪与智能终端相结合,通过血氧仪将人体采集到的数据实时显示在专用APP上,APP再通过移动互联网把医疗数据上传到云服务器进行存储,云服务器对医疗数据的分析报告与预警反馈到APP上,解决了医疗血氧仪移动性差、与远程监控融合较少问题。The mobile terminal described in the present disclosure is equipped with a special APP, which combines the oximeter with an intelligent terminal, and displays the data collected by the human body on the special APP in real time through the oximeter, and the APP uploads the medical data to the mobile Internet through the mobile Internet. The cloud server is used for storage, and the cloud server's analysis report and early warning of medical data are fed back to the APP, which solves the problems of poor mobility of medical oximeters and less integration with remote monitoring.
本公开所述的系统利用android智能终端集成的丰富功能,实现在日常情况下对监护者的血氧、脉率以及呼吸生理变化的实时监测,实时显示脉率以及呼末二氧化碳的波形,提供了更加便携的、低成本的、智能的医疗服务,对面向家庭、社区的新型医疗设备发展具有重大的促进作用。The system described in the present disclosure utilizes the rich functions integrated by the android smart terminal to realize the real-time monitoring of the guardian's blood oxygen, pulse rate and respiratory physiological changes in daily situations, display the pulse rate and the waveform of end-tidal carbon dioxide in real time, and provide More portable, low-cost, and intelligent medical services have a significant role in promoting the development of new medical equipment for families and communities.
本公开所述的系统采用手持式、可携带的数据采集设备进行监测,监测血氧饱和度以及脉率等人体重要身体指标,而且还监测呼末二氧化碳、呼吸率等呼吸数据,实现了对人体数据的多维度的采集,从而更加全面的进行健康分析。The system described in the present disclosure uses hand-held and portable data acquisition equipment for monitoring, monitoring important body indicators of the human body such as blood oxygen saturation and pulse rate, and also monitoring respiratory data such as end-tidal carbon dioxide and respiration rate. The multi-dimensional collection of data enables a more comprehensive health analysis.
本公开所述的系统在实时监测上使用低功耗蓝牙将医疗血氧仪数据稳定的传输到智能终端上,智能终端通过可靠的TCP协议将数据直接上传到云服务器,云服务器作为监控中心,将负责监测数据的存储与分析,对数据也起到了保护作用,摆脱了以往本地存储的弊端,实现数据实时保存,安全性更高,并且可以进行数据分析。The system described in the present disclosure uses low-power bluetooth in real-time monitoring to stably transmit the medical oximeter data to the intelligent terminal, and the intelligent terminal directly uploads the data to the cloud server through a reliable TCP protocol, and the cloud server acts as the monitoring center. It will be responsible for the storage and analysis of monitoring data, which also plays a role in protecting the data, getting rid of the disadvantages of local storage in the past, realizing real-time data storage, higher security, and data analysis.
本公开所述的系统通过用户登录注册的方式,建立起一对一的个人健康档案,个人健康档案建立,可以有效地让医生及时评估监护者的身体情况,为下一步的治疗提供可靠的治疗依据。The system described in the present disclosure establishes a one-to-one personal health file by means of user login and registration. The establishment of the personal health file can effectively allow doctors to timely assess the physical condition of the guardian and provide reliable treatment for the next treatment. in accordance with.
本公开所述的系统通过手机APP可以调取云服务器上的数据,将数据以列表或折线图的形式进行展示,并将云服务器的数据分析结果也显示到手机APP 上,从而实现了数据的实时查看。The system described in the present disclosure can retrieve the data on the cloud server through the mobile phone APP, display the data in the form of a list or a line graph, and also display the data analysis results of the cloud server on the mobile phone APP, thereby realizing the data integrity. View in real time.
本公开所述的系统所采集到的呼吸信号是一种实时时序信号,频率高、数据量大,在对其进行信号处理时,选择低通滤波线性插值方法,对实时信号进行处理,能够有效控制过滤后结果与真实波形结果的误差,降低滤波过后产生的信噪比损失,提高插值精度。The respiratory signal collected by the system described in the present disclosure is a real-time time series signal with high frequency and large amount of data. When processing the signal, the low-pass filtering linear interpolation method is selected to process the real-time signal, which can effectively Control the error between the filtered result and the real waveform result, reduce the loss of signal-to-noise ratio after filtering, and improve the interpolation accuracy.
考虑到过去医疗监测设备的种种不便,本公开所述的系统开发了一款移动性强、测量准确、功耗低的血氧监测系统,该系统不仅能实时监测血氧、脉率、呼入CO2、呼末CO2、呼吸率等人体重要身体指标,而且通过蓝牙传输进行远程监控,这是过去传统医疗血氧仪中所不具备的。Considering the various inconveniences of medical monitoring equipment in the past, the system described in this disclosure develops a blood oxygen monitoring system with strong mobility, accurate measurement and low power consumption, which can not only monitor blood oxygen, pulse rate, inhalation CO2, end-tidal CO2, respiratory rate and other important body indicators of the human body, and remote monitoring through Bluetooth transmission, which was not available in traditional medical oximeters in the past.
附图说明Description of drawings
图1为本公开实施例1所述的基于云数据库的血氧监测预警医疗系统示意图。FIG. 1 is a schematic diagram of a blood oxygen monitoring and early warning medical system based on a cloud database according to
图2为本公开实施例1所述的血氧仪结构示意图。FIG. 2 is a schematic structural diagram of the oximeter according to
图3为本公开实施例1所述的基于云数据库的血氧监测预警医疗系统使用流程图。FIG. 3 is a flow chart of using the cloud database-based blood oxygen monitoring and early warning medical system according to
图4为本公开实施例1所述的基于云数据库的血氧监测预警医疗系统个人信息管理图FIG. 4 is a personal information management diagram of the blood oxygen monitoring and early warning medical system based on the cloud database according to
图5为本公开实施例1所述的基于云数据库的血氧监测预警医疗系统绑定设备图FIG. 5 is a diagram of the binding equipment of the blood oxygen monitoring and early warning medical system based on the cloud database according to
图6为本公开实施例1所述的基于云数据库的血氧监测预警医疗系统APP 监控效果图。FIG. 6 is a monitoring effect diagram of the APP of the blood oxygen monitoring and early warning medical system based on the cloud database according to
图7为本公开实施例1所述的基于云数据库的血氧监测预警医疗系统历史数据效果图。FIG. 7 is an effect diagram of historical data of the blood oxygen monitoring and early warning medical system based on the cloud database according to
图8为本公开实施例2所述的基于云数据库的血氧监测预警医疗系统示意图。FIG. 8 is a schematic diagram of a blood oxygen monitoring and early warning medical system based on a cloud database according to
1-用户;2-集成式血氧仪;3-智能终端;4-无线通信模块;5-云端数据库; 6-血氧仪;7-呼末二氧化碳监测仪。1-User; 2-Integrated oximeter; 3-Intelligent terminal; 4-Wireless communication module; 5-Cloud database; 6-Oximeter; 7-End-tidal carbon dioxide monitor.
具体实施方式Detailed ways
应该指出,以下详细说明都是例示性的,旨在对本公开提供进一步的说明。除非另有指明,本文使用的所有技术和科学术语具有与本公开所属技术领域的普通技术人员通常理解的相同含义。It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
需要注意的是,这里所使用的术语仅是为了描述具体实施方式,而非意图限制根据本公开的示例性实施方式。如在这里所使用的,除非上下文另外明确指出,否则单数形式也意图包括复数形式,此外,还应当理解的是,当在本说明书中使用术语“包含”和/或“包括”时,其指明存在特征、步骤、操作、器件、组件和/或它们的组合。It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and/or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and/or combinations thereof.
实施例1:Example 1:
如图1-7所述,本公开实施例1提供了一种基于云数据库的血氧监测预警医疗系统,包括数据采集模块、至少一个智能终端3和云端数据库5,所述数据采集模块与智能终端3无线通信连接,用于采集用户1的脉搏、血氧和呼吸数据并实时传输给智能终端;所述智能终端与服务器通过无线通信模块连接,用于分析和存储脉搏、血氧和呼吸数据,实时显示呼末二氧化碳波形,并将采集到的数据和呼末二氧化碳波形实时传输给服务器,所述无线通信模块4为WIFI、4G或 GPRS通信,所述智能终端3通过可靠的TCP协议将数据直接上传到云端数据库5;所述云端数据库根据采集到的数据和呼末二氧化碳波形得出诊断报告和告警信息,存储并传输给智能终端。As shown in FIGS. 1-7 ,
呼吸信号是一种实时时序信号,频率高、数据量大,本实施例所述的智能终端上设有APP,通过低通滤波线性插值方法,实现了对滤波后的信噪比的有效控制,让集成式血氧仪中的呼吸信号,更加准确、直观的显示在移动终端APP 上,本实施例采用了实时处理信号强、精度高的低通滤波线性插值方法,该方法适合在移动终端上使用,能有效控制滤波后的信噪比,为移动终端的信号处理上设计了一种实时准确、高精度、高效滤波算法的解决方案。The breathing signal is a real-time time series signal with high frequency and large amount of data. The smart terminal described in this embodiment is provided with an APP, and the low-pass filtering linear interpolation method is used to realize effective control of the filtered signal-to-noise ratio. The breathing signal in the integrated oximeter can be more accurately and intuitively displayed on the mobile terminal APP. This embodiment adopts the low-pass filtering linear interpolation method with strong real-time processing signal and high precision, which is suitable for mobile terminals. It can effectively control the signal-to-noise ratio after filtering, and design a real-time accurate, high-precision and efficient filtering algorithm solution for the signal processing of mobile terminals.
所述数据采集模块与智能终端通过蓝牙连接,所述蓝牙模块为低功耗蓝牙,又称蓝牙4.0,将传统蓝牙、高速蓝牙、低功耗蓝牙技术合为一体,并向下兼容,其最大的特点是功耗极低,并且有效传输距离被提升到了100米以上,本公开所述的系统利用低功耗蓝牙将血氧仪数据传输到移动智能终端,做到了数据准确无误的实时显示。The data acquisition module is connected to the smart terminal through Bluetooth. The Bluetooth module is Bluetooth low energy, also known as Bluetooth 4.0, which integrates traditional Bluetooth, high-speed Bluetooth, and low-power Bluetooth technology, and is backward compatible. The characteristics of the oximeter are extremely low power consumption, and the effective transmission distance is increased to more than 100 meters. The system described in this disclosure uses low-power Bluetooth to transmit the oximeter data to the mobile intelligent terminal, so that the data can be accurately displayed in real time.
本实施例所述的系统利用云服务器作为监护中心,对医疗血氧仪设备数据进行存储,摆脱了以往本地存储的弊端,实现数据实时保存,安全性更高,并且可以进行数据分析,随时将分析结果通过APP进行显示,做到了对数据实时存储,实时分析,优化医疗数据存储分析系统,以一种方便、高效、友好的方式为监护者评估健康情况,缓解了医患关系。The system described in this embodiment uses the cloud server as the monitoring center to store the data of the medical oximeter equipment, gets rid of the disadvantages of local storage in the past, realizes the real-time data storage, and has higher security, and can perform data analysis, and can store the data at any time. The analysis results are displayed through the APP, which achieves real-time data storage and real-time analysis, optimizes the medical data storage and analysis system, evaluates the health of the guardian in a convenient, efficient and friendly way, and eases the doctor-patient relationship.
所述数据采集模块为便携式集成式血氧仪2,所述便携式集成式血氧仪2用于实时监测血氧、脉率、呼入CO2、呼末CO2和呼吸率,优选的选用科瑞康医疗的PC-900A系列血氧仪,能够通过大数字高亮LED显示呼末CO2、呼吸率、血氧饱和度和脉率,并实现蓝牙传输。The data acquisition module is a portable
所述智能终端3还用于调取云服务器中存储的数据和诊断报告,所述智能终端为手机、平板电脑或PDA,所述智能终端上设有APP,所述云服务器将数据以列表或折线图的形式进行展示,并将云服务器的数据分析结果也显示到手机APP 上,从而实现了数据的实时查看。The
本实施例所述的系统利用android智能终端集成的丰富功能,实现在日常情况下对监护者的血氧、脉率以及呼吸生理变化的实时监测,实时显示脉率以及呼末二氧化碳的波形,提供了更加便携的、低成本的、智能的医疗服务,对面向家庭、社区的新型医疗设备发展具有重大的促进作用。软件系统实现将生理数据上传到云服务器,为医疗信息系统整合作出贡献。The system described in this embodiment utilizes the rich functions integrated by the android smart terminal to realize the real-time monitoring of the blood oxygen, pulse rate and respiratory physiological changes of the guardian under daily conditions, display the waveform of the pulse rate and end-tidal carbon dioxide in real time, and provide It provides more portable, low-cost, and intelligent medical services, which has a significant role in promoting the development of new medical equipment for families and communities. The software system realizes the upload of physiological data to the cloud server and contributes to the integration of medical information systems.
所述集成式血氧仪2包括传感器单元、数据处理单元和数据传输单元,所述传感器单元包括脉搏单元、血氧单元和呼吸单元,用于监测脉搏、血氧和呼末二氧化碳数据;所述数据处理单元用于根据呼末二氧化碳数据得到呼末二氧化碳波形图;所述数据传输单元为蓝牙模块,用于将采集到的数据和处理后的数据传输给云服务器。The integrated
具体使用方法如图3所示,首先通过注册和登录智能终端APP,填写个人基本信息,如图4所示,将血氧仪与人体连接,打开智能终端蓝牙,与血氧仪进行绑定,如图5所示,开启实时监测,如图6所示,通过智能终端实时显示血氧仪数据并上传到云服务器,云服务器对数据进行保存和处理,并向智能终端发回诊断报告,所述智能终端还能实时的调取云服务器中保存的数据和诊断报告,历史数据在APP上进行显示,如图7所示。The specific usage method is shown in Figure 3. First, register and log in the smart terminal APP, fill in the basic personal information, as shown in Figure 4, connect the oximeter to the human body, turn on the Bluetooth of the smart terminal, and bind the oximeter. As shown in Figure 5, real-time monitoring is turned on. As shown in Figure 6, the oximeter data is displayed in real time through the intelligent terminal and uploaded to the cloud server. The cloud server saves and processes the data, and sends a diagnosis report back to the intelligent terminal. The smart terminal can also retrieve the data and diagnostic reports stored in the cloud server in real time, and display the historical data on the APP, as shown in Figure 7.
本实施例所述的内容虽然包含有数据处理过程以及方法流程的内容,但是这些数据处理过程以及方法流程的内容仅作为对本实施例所述的基于云数据库的血氧监测预警医疗系统的工作方式的进一步的解释。Although the content described in this embodiment includes the content of the data processing process and method flow, the content of these data processing process and method flow is only used as the working mode of the blood oxygen monitoring and early warning medical system based on the cloud database described in this embodiment. further explanation.
实施例2:Example 2:
如图8所示,本公开实施例2提供了一种基于云数据库的血氧监测预警医疗系统,所述数据采集模块包括便携式血氧仪6和便携式呼末二氧化碳监测仪7,所述便携式血氧仪6用于采集脉搏和血氧数据,可以采用指甲式血氧仪、掌式血氧仪、腕式血氧仪或者健康手表式血氧仪,这方面型号较多,不再一一列举;所述便携式呼末二氧化碳监测仪7选用深圳派康的LH900,用于采集呼末二氧化碳,通过对血氧、脉搏和呼末二氧化碳的实时监测,实现了对健康状况的实时数据采集、分析和实时监控;其他设置与实施例1相同。As shown in FIG. 8 ,
本实施例所述的内容虽然包含有数据处理过程以及方法流程的内容,但是这些数据处理过程以及方法流程的内容仅作为对本实施例所述的基于云数据库的血氧监测预警医疗系统的工作方式的进一步的解释。Although the content described in this embodiment includes the content of the data processing process and method flow, the content of these data processing process and method flow is only used as the working mode of the blood oxygen monitoring and early warning medical system based on the cloud database described in this embodiment. further explanation.
以上所述仅为本公开的优选实施例而已,并不用于限制本公开,对于本领域的技术人员来说,本公开可以有各种更改和变化。凡在本公开的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本公开的保护范围之内。The above descriptions are only preferred embodiments of the present disclosure, and are not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure should be included within the protection scope of the present disclosure.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112057311A (en) * | 2020-09-16 | 2020-12-11 | 西安理工大学 | An upper limb lymphedema monitoring and treatment cuff device |
| CN113729699A (en) * | 2021-08-27 | 2021-12-03 | 苏州大学附属第一医院 | Pulse blood oxygen saturation monitoring method and system based on intelligent wearing |
| CN116013547A (en) * | 2022-12-07 | 2023-04-25 | 深圳市携康网络科技有限公司 | Chronic disease management system and method based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112057311A (en) * | 2020-09-16 | 2020-12-11 | 西安理工大学 | An upper limb lymphedema monitoring and treatment cuff device |
| CN113729699A (en) * | 2021-08-27 | 2021-12-03 | 苏州大学附属第一医院 | Pulse blood oxygen saturation monitoring method and system based on intelligent wearing |
| CN116013547A (en) * | 2022-12-07 | 2023-04-25 | 深圳市携康网络科技有限公司 | Chronic disease management system and method based on big data |
| CN116013547B (en) * | 2022-12-07 | 2023-11-24 | 深圳市携康网络科技有限公司 | Chronic disease management system and method based on big data |
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