技术领域technical field
本发明属于健康监测系统技术领域,具体涉及一种用于健康检测的可穿戴设备及其工作方法。The invention belongs to the technical field of health monitoring systems, and in particular relates to a wearable device for health detection and a working method thereof.
背景技术Background technique
由于人口老龄化程度不断加深,人们特别是中老年群体的保健意识日益提高,因此基于医疗、保健应用的可穿戴设备需求越来越多。医疗类可穿戴设备可以方便地测量人体的基础生理体征(心率、心电、血压、血糖、血氧、体温等),并通过后台数据服务和呼叫服务帮助用户更好的管理健康,甚至提供慢性病管理和分诊导医功能。Due to the deepening of the aging population and the increasing health awareness of people, especially the middle-aged and elderly groups, the demand for wearable devices based on medical and health applications is increasing. Medical wearable devices can easily measure the basic physiological signs of the human body (heart rate, ECG, blood pressure, blood sugar, blood oxygen, body temperature, etc.), and help users better manage their health through background data services and call services, and even provide chronic diseases Management and triage guidance function.
社会的发展导致了许多高龄独居老人的产生,他们的自理能力有限,紧急情况下可能无法尽快自主就医,令人担忧。医疗类可穿戴设备可以时刻检测人体的生理特征,判断健康状况,一旦发现老人生理指标发生明显异常,可通过后台直接呼叫救援,这保证了突发情况下老年人及时送医。The development of society has led to the emergence of many elderly people who live alone. Their ability to take care of themselves is limited, and they may not be able to seek medical treatment as soon as possible in an emergency, which is worrying. Medical wearable devices can detect the physiological characteristics of the human body at all times and judge the health status. Once the physiological indicators of the elderly are found to be obviously abnormal, they can directly call for rescue through the background, which ensures that the elderly can be sent to the doctor in time in case of emergency.
在医院,经常会发生儿童患者或精神疾病患者走出医院或监护区,新生儿被家属抱错,老年患者迷路等情况,为此需要耗费不少人力、物力;及时、准确地确认患者的去向,为其提供及时的照顾与治疗,可以大大减轻医院在陪护方面的压力,减少病情的耽误。In hospitals, it often happens that children or patients with mental illness walk out of the hospital or the guardianship area, newborns are picked up by their families, and elderly patients get lost, etc., which requires a lot of manpower and material resources; timely and accurate confirmation of the patient's whereabouts, Providing them with timely care and treatment can greatly reduce the pressure on the hospital in accompanying them and reduce the delay of illness.
发明内容Contents of the invention
为了解决上述问题,本发明的目的是提供一种用于健康检测的可穿戴设备及其工作方法,集成卫星定位功能、信息感知功能和无线传输功能,对患者的身体健康状况进行全方位监测,有助于提高目前医疗监测与疾病预防的能力。In order to solve the above problems, the object of the present invention is to provide a wearable device for health detection and its working method, which integrates satellite positioning function, information perception function and wireless transmission function, and comprehensively monitors the health status of patients. Contribute to improving current medical surveillance and disease prevention capabilities.
涉及嵌入式及信息处理领域,包括可穿戴设备的硬件、软件设计,大规模健康状况数据的处理。Involves embedded and information processing fields, including hardware and software design of wearable devices, and processing of large-scale health status data.
为了实现上述目的,本发明采用的技术方案是:一种用于健康检测的可穿戴设备,包括数据采集模块、数据传输模块和数据处理模块三个部分,其中:In order to achieve the above object, the technical solution adopted by the present invention is: a wearable device for health detection, including three parts: a data acquisition module, a data transmission module and a data processing module, wherein:
数据采集模块包括位置信息采集和生理特征信息采集,生理特征采集包括体温的采集、血压的采集和心率的采集;体温采集采用温度传感器进行用户的体温数据采集,血压的采集采用压力传感器实时采集用户的血压数据,心率的采集采用心率传感器实时采集用户的心率数据信息;The data collection module includes location information collection and physiological feature information collection. Physiological feature collection includes body temperature collection, blood pressure collection and heart rate collection; body temperature collection uses a temperature sensor to collect user body temperature data, and blood pressure collection uses a pressure sensor to collect real-time user data Blood pressure data, heart rate collection adopts heart rate sensor to collect user's heart rate data information in real time;
数据传输模块用于将数据采集模块采集到的位置信息和生理特征信息传送到数据处理模块;The data transmission module is used to transmit the location information and physiological feature information collected by the data acquisition module to the data processing module;
数据处理模块用于接收数据传输模块发送的数据,并将接收到的数据与阈值进行比较,当数据超出阈值时,发送信号给告警装置;The data processing module is used to receive the data sent by the data transmission module, compare the received data with the threshold, and send a signal to the alarm device when the data exceeds the threshold;
告警装置用于接收数据处理模块发送的信号,并发出告警。The alarm device is used for receiving the signal sent by the data processing module and sending out an alarm.
告警装置包括设置在穿戴设备内的振动器和蜂鸣报警器。The warning device includes a vibrator and a buzzer alarm arranged in the wearable device.
位置信息采集主要应用GPS室外定位和UWB室内定位相结合的方式完成。Location information collection is mainly completed by combining GPS outdoor positioning and UWB indoor positioning.
GPS定位应用于室外,采用GPS传感器,通过该传感器得到用户所在的经纬度信息;UWB传感器定位应用于室内,采用UWB传感器,通过该传感器可以得到用户在室内的相对位置信息以及范围信息。GPS positioning is applied outdoors, using a GPS sensor, through which the longitude and latitude information of the user is obtained; UWB sensor positioning is applied indoors, using a UWB sensor, through which the relative position information and range information of the user indoors can be obtained.
数据传输模块采用WIFI进行数据传递,采用的芯片是ESP8266。The data transmission module uses WIFI for data transmission, and the chip used is ESP8266.
ESP8266芯片以1HZ/s的频率,按照序列号、GPS位置数据、UWB定位数据、UWB范围数据、体温数据、血压数据、心率数据顺序传送至数据处理模块。The ESP8266 chip transmits the serial number, GPS position data, UWB positioning data, UWB range data, body temperature data, blood pressure data, and heart rate data to the data processing module at a frequency of 1HZ/s.
还包括用于存储数据采集模块采集到数据的数据存储模块。It also includes a data storage module for storing the data collected by the data collection module.
数据处理模块中的阈值包括体温阈值、血压阈值和心率阈值,所有阈值均设置有四级。The thresholds in the data processing module include body temperature thresholds, blood pressure thresholds and heart rate thresholds, and all thresholds are set with four levels.
本发明还提供了一种用于健康检测的可穿戴设备的工作方法,首先采集位置信息和生理特征信息,生理特征采集包括体温、血压和心率;然后,通过数据传输模块将数据采集模块采集到的位置信息和生理特征信息传送到数据处理模块;数据处理模块将接收到的生理特征信息与阈值进行比较,当超出阈值时,发送信号给告警装置,告警装置发出告警。The present invention also provides a working method of a wearable device for health detection. Firstly, the location information and physiological feature information are collected, and the physiological feature collection includes body temperature, blood pressure and heart rate; The location information and physiological feature information of the device are sent to the data processing module; the data processing module compares the received physiological feature information with the threshold, and when the threshold is exceeded, a signal is sent to the alarm device, and the alarm device issues an alarm.
生理特征信息的阈值确定方法如下:利用大数据结合历史这位用户所有的生理指标,以及档案库中相同情况下其他用户生理指标生成当前用户的四级生理特征信息阈值;The method for determining the threshold of physiological feature information is as follows: using big data combined with the historical physiological indicators of this user and other users’ physiological indicators under the same circumstances in the archives to generate the current user’s four-level physiological feature information threshold;
本发明通过四级生理特征信息阈值对应优良差危四级健康等级评估用户的健康状况,如果是优的话,直接将最新的数据归档存储在用户的数据单元里;如果是良的话,应向用户和其监护人给出保持良好生活习惯建议(控制平台发送指令,可穿戴设备上的MCU直接调用存储好的建议语);如果是差的话,应向用户和其监护人给出提醒,提醒尽快就医并注意特定生理指标;如果是危的话,发出危险警告,并自动呼叫医生,明确告知用户的位置信息。The present invention evaluates the user's health status through the four-level physiological characteristic information threshold corresponding to the four-level health level of good, bad, and dangerous. If it is excellent, it will directly archive and store the latest data in the user's data unit; if it is good, it should report to the user. and their guardians to give advice on maintaining good living habits (the control platform sends instructions, and the MCU on the wearable device directly calls the stored advice); Pay attention to specific physiological indicators; if it is dangerous, it will issue a danger warning, automatically call the doctor, and clearly inform the user of the location information.
与现有技术相比,本发明至少具有以下有益效果,通过合理的架构设计,采集了佩戴者的多方面数据,同时通过对采集到数据的分析和处理,判断出佩戴者的健康状况,进而发出提醒和警告,能够及时的对佩戴者的身体状况进行监测并反馈,起到极好的预防效果;同时,采用了多种手段的提醒,保证了提醒的效果;而且,在本发明的工作方法中,采用了四级阈值对应四级健康状况的评价体系,提醒更加精准,方便佩戴者掌握自身状况。Compared with the prior art, the present invention has at least the following beneficial effects. Through reasonable architecture design, various data of the wearer are collected, and at the same time, the health status of the wearer is judged by analyzing and processing the collected data, and then Reminders and warnings can be timely monitored and fed back to the wearer's physical condition, which has an excellent preventive effect; at the same time, a variety of means of reminders are used to ensure the effect of reminders; and, in the work of the present invention In the method, an evaluation system with four-level thresholds corresponding to four-level health status is adopted to make the reminder more accurate and facilitate the wearer to grasp his own condition.
附图说明Description of drawings
图1为本发明的结构示意图。Fig. 1 is a structural schematic diagram of the present invention.
图2为GPS与开发板连接简图。Figure 2 is a schematic diagram of the connection between GPS and the development board.
图3为UWB定位原理图。Figure 3 is a schematic diagram of UWB positioning.
图4为UWB范围识别原理图。Fig. 4 is a schematic diagram of UWB range identification.
图5为数据采集模块示意图。Figure 5 is a schematic diagram of the data acquisition module.
图6为数据传输硬件部分示意图。FIG. 6 is a schematic diagram of the data transmission hardware part.
图7为数据处理平台。Figure 7 is a data processing platform.
图8为数据报格式。Figure 8 shows the datagram format.
图9为数据处理流程图。Fig. 9 is a flow chart of data processing.
具体实施方式Detailed ways
下面结合附图和具体实施方式对本发明做进一步说明。The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
如图1所示,整体工作框图可分为数据采集和数据处理两部分。数据采集模块包括位置信息的采集以及生命体征信息的采集,位置信息的采集包括GPS位置信息以及UWB位置信息,通过UWB范围信息判断病人是否在室内,进而从两种位置信息(GPS位置和UWB位置)中选择一种合适的位置信息,生命体征信息主要包括体温、血压、心率信息。数据采集到以后发送给处理平台,处理平台通过云计算、云存储等技术得到病人的健康状况信息,继而根据评估出的健康等级采取后续措施。As shown in Figure 1, the overall working block diagram can be divided into two parts: data acquisition and data processing. The data collection module includes the collection of location information and the collection of vital sign information. The collection of location information includes GPS location information and UWB location information. It is judged whether the patient is indoors through the UWB range information, and then from two kinds of location information (GPS location and UWB location). ) to select an appropriate location information, and the vital sign information mainly includes body temperature, blood pressure, and heart rate information. After the data is collected, it is sent to the processing platform. The processing platform obtains the patient's health status information through cloud computing, cloud storage and other technologies, and then takes follow-up measures according to the evaluated health level.
硬件部分架构如下:The hardware structure is as follows:
1、数据采集模块1. Data acquisition module
可穿戴设备的位置信息采集主要应用GPS室外定位和UWB室内定位相结合的方式完成。The location information collection of wearable devices is mainly completed by combining GPS outdoor positioning and UWB indoor positioning.
GPS功能采用ATK-NEO-6M-GPS来实现,这是ALIENTEK生产的一款高性能GPS模块,模块核心采用UBLOX公司的NEO-6M模组,具有50个通道,追踪灵敏度高达-161dBm,测量输出频率最高可达5HZ。共有四个引出端口:VCC、GND、TXD、RXD。GPS模块与STM32ZET6连接时,VCC连接3.3V电源电压,GND与STM32的GND相连,TXD与STM32的PA3相连,RXD与STM32的PA2相连。The GPS function is realized by ATK-NEO-6M-GPS, which is a high-performance GPS module produced by ALIENTEK. The core of the module is the NEO-6M module of UBLOX Company. It has 50 channels, the tracking sensitivity is as high as -161dBm, and the measurement output The frequency can reach up to 5HZ. There are four outgoing ports: VCC, GND, TXD, RXD. When the GPS module is connected to the STM32ZET6, VCC is connected to the 3.3V power supply voltage, GND is connected to the GND of the STM32, TXD is connected to the PA3 of the STM32, and RXD is connected to the PA2 of the STM32.
如图2所示,在室内定位中,包含UWB定位部分和UWB范围识别部分。As shown in Figure 2, indoor positioning includes a UWB positioning part and a UWB range identification part.
UWB定位部分采用UWB Mini 3芯片实现,该定位系统至少由四个UWB Mini 3模块组成,即三个基站加上一个标签。基站A0、A1、A2标签T0在出厂时已经配置好,不需要变更。A0基站与USB直接相连至STM32103ZET6,标签Tag和基站A1、A2均可用充电宝供电。The UWB positioning part is realized by the UWB Mini 3 chip, and the positioning system consists of at least four UWB Mini 3 modules, that is, three base stations plus a tag. Labels T0 of base stations A0, A1, and A2 have been configured before leaving the factory and do not need to be changed. The A0 base station is directly connected to the STM32103ZET6 via USB, and the Tag and base stations A1 and A2 can be powered by a power bank.
如图3和图4所示,UWB范围识别采用UWB Mini 3芯片实现,该识别系统由两个UWBMini 3模块组成,即一个基站加上一个标签。基站A3标签T1在出厂时已经配置好,不需要变更。A3基站与USB直接相连至STM32103ZET6,标签Tag可用充电宝供电。本部分的功能是判断病人是否走出房间。As shown in Figure 3 and Figure 4, the UWB range identification is implemented using the UWB Mini 3 chip, and the identification system consists of two UWBMini 3 modules, that is, a base station plus a tag. The tag T1 of the base station A3 has been configured before leaving the factory and does not need to be changed. The A3 base station is directly connected to the STM32103ZET6 via USB, and the Tag can be powered by a power bank. The function of this part is to judge whether the patient has walked out of the room.
如图5所示,温度传感器采用ZTP-148SR安费诺红外温度传感器。As shown in Figure 5, the temperature sensor uses the ZTP-148SR Amphenol infrared temperature sensor.
压力传感器采用XGZP6847。The pressure sensor adopts XGZP6847.
心率传感器采用Pulse-sensor脉搏心率传感器。The heart rate sensor uses a Pulse-sensor pulse heart rate sensor.
如图6所示,2、数据传输模块As shown in Figure 6, 2, the data transmission module
数据传输模块主要是由STM32最小系统和ESP8266模块组成。The data transmission module is mainly composed of STM32 minimum system and ESP8266 module.
可穿戴设备中含有一个STM32103ZET6的最小系统以及ESP8266模块。The wearable device contains a minimum system of STM32103ZET6 and ESP8266 module.
与基站A0通过USB相连的是一个STM32103ZET6的最小系统以及ESP8266模块。Connected to base station A0 via USB is a minimum system of STM32103ZET6 and ESP8266 module.
与基站A3通过USB相连的是一个STM32103ZET6的最小系统以及ESP8266模块。Connected to base station A3 via USB is a minimum system of STM32103ZET6 and ESP8266 module.
如图7所示,3、数据处理平台As shown in Figure 7, 3. Data processing platform
数据处理平台包含一个STM32ZET6开发板、ESP8266、GSM模块和一台计算机,GSM模块的型号是ATK-SIM900A GSM/GPRS短信电话开发板。The data processing platform includes a STM32ZET6 development board, ESP8266, GSM module and a computer. The model of the GSM module is ATK-SIM900A GSM/GPRS SMS phone development board.
STM32ZET6与计算机通过U转串口线相连。STM32ZET6 is connected to the computer through a U-to-serial cable.
软件部分包括如下架构:The software part includes the following architecture:
1、数据采集模块1. Data acquisition module
位置采集部分的程序包含三部分:GPS采集程序、UWB定位数据采集程序、UWB范围数据采集程序。The program of the location acquisition part includes three parts: GPS acquisition program, UWB positioning data acquisition program, and UWB range data acquisition program.
温度、血压、心率均是上电后自动采集的。Temperature, blood pressure, and heart rate are all collected automatically after power-on.
2、数据传输模块2. Data transmission module
数据传输模块包括ESP8266配置程序以及STM32ZET6发送信息程序。ESP8266的波特率统一配置为9600,一位停止位,没有校验位。STM32ZET6发送程序按照‘开始符——序列号——GPS位置数据——UWB定位数据——UWB范围数据——体温数据——血压数据——心率数据——结束符’的次序发送。其中序列号代表用户的身份信息。The data transmission module includes ESP8266 configuration program and STM32ZET6 sending information program. The baud rate of ESP8266 is uniformly configured as 9600, one stop bit, and no parity bit. The STM32ZET6 sending program is sent in the order of 'start symbol-serial number-GPS position data-UWB positioning data-UWB range data-body temperature data-blood pressure data-heart rate data-end character'. The serial number represents the identity information of the user.
数据报格式如图8所示:The datagram format is shown in Figure 8:
如图9所示,3、数据处理模块As shown in Figure 9, 3, data processing module
STM32ZET6数据接收程序,ESP8266的波特率配置为9600,一位停止位,没有校验位,按照‘开始符——序列号——GPS位置数据——UWB定位数据——UWB范围数据——体温数据——血压数据——心率数据——结束符’的次序接收数据。STM32ZET6 data receiving program, the baud rate of ESP8266 is configured as 9600, one stop bit, no parity bit, follow the 'start character - serial number - GPS position data - UWB positioning data - UWB range data - body temperature Data—blood pressure data—heart rate data—terminator' to receive data in order.
计算机通过U转串口线将STM32ZET6的数据接收进来。The computer receives the data of STM32ZET6 through the U-to-serial cable.
计算机接收数据以后,立即根据UWB范围数据判断病人的位置,如果在室内,则UWB定位数据有效,如果在室外,则GPS位置数据有效。然后通过云计算方式,利用体温、血压、心率等信息判断病人的健康状况,评定出病人的健康等级(优、良、差、危险四种)。并且将这些数据按照‘序列号——时间——位置——体温——血压——心率——健康等级’的格式存储在特定的单元中。After the computer receives the data, it immediately judges the patient's position according to the UWB range data. If it is indoors, the UWB positioning data is valid, and if it is outdoors, the GPS position data is valid. Then, through cloud computing, the body temperature, blood pressure, heart rate and other information are used to judge the patient's health status, and the patient's health level (excellent, good, poor, and dangerous) is evaluated. And store these data in a specific unit in the format of 'serial number-time-location-body temperature-blood pressure-heart rate-health level'.
计算机利用U转串口线向所连的STM32ZET6反馈健康等级,接收到反馈信号后,STM32ZET6读出健康等级。如果是‘优’的话,不处理;如果是‘良’的话,通过ESP8266模块联系可穿戴设备上的ESP8266模块,可穿戴设备上的STM32ZET6直接调用存储好的建议语;如果是‘差’的话,通过相连的ATK-SIM900A GSM/GPRS发送短信给用户的亲人,提醒尽快就医并注意特定生理指标,同时通过ESP8266模块联系可穿戴设备上的ESP8266模块向用户发出提醒,提醒尽快就医并注意特定生理指标;如果是‘危险’的话,发出危险警告,并通过ATK-SIM900A GSM/GPRS自动呼叫医生,明确告知病人的位置信息及健康等级情况。The computer uses the U-to-serial cable to feed back the health level to the connected STM32ZET6. After receiving the feedback signal, the STM32ZET6 reads out the health level. If it is 'excellent', do not process; if it is 'good', contact the ESP8266 module on the wearable device through the ESP8266 module, and the STM32ZET6 on the wearable device will directly call the stored advice; if it is 'bad', Send text messages to the relatives of the user through the connected ATK-SIM900A GSM/GPRS, reminding to seek medical treatment as soon as possible and pay attention to specific physiological indicators. ; If it is 'dangerous', it will issue a danger warning, and automatically call the doctor through ATK-SIM900A GSM/GPRS, and clearly inform the patient's location information and health level.
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| CN201711177148.2ACN107802253A (en) | 2017-11-22 | 2017-11-22 | A kind of wearable device and its method of work for health detection |
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| WO2013134845A1 (en)* | 2012-03-13 | 2013-09-19 | Hongyue Luo | Wearable miniature health monitoring system and method |
| CN105204413A (en)* | 2015-08-19 | 2015-12-30 | 武汉联中科技有限公司 | Information processing system and method used for wearable device |
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| CN109009012A (en)* | 2018-06-11 | 2018-12-18 | 深圳市宝安区人民医院 | A kind of monitoring control system and method |
| CN109009014A (en)* | 2018-06-26 | 2018-12-18 | 昆明理工大学 | A kind of human heart rate and body temperature short message alarm system and its implementation |
| CN109192292A (en)* | 2018-07-11 | 2019-01-11 | 安徽捷峰电子科技有限公司 | A kind of the elder's health monitor system basic service layer |
| CN109065164A (en)* | 2018-07-25 | 2018-12-21 | 泰康保险集团股份有限公司 | human health monitoring method and device |
| CN109222927A (en)* | 2018-07-27 | 2019-01-18 | 努比亚技术有限公司 | A kind of processing method based on health status, intelligent wearable device and storage medium |
| CN111803955A (en)* | 2019-04-12 | 2020-10-23 | 奇酷互联网络科技(深圳)有限公司 | Method and system for managing account through wearable device and storage device |
| CN110223788A (en)* | 2019-06-12 | 2019-09-10 | 天津理工大学 | User health management system based on portable equipment |
| CN110934571A (en)* | 2019-11-25 | 2020-03-31 | 西安思后网络科技有限公司 | Wearable device for collecting human body information |
| CN112244793A (en)* | 2020-11-02 | 2021-01-22 | 深圳市沃特沃德股份有限公司 | Health monitoring method and device and storage medium |
| CN112244793B (en)* | 2020-11-02 | 2024-06-04 | 深圳市沃特沃德信息有限公司 | Health monitoring method, device and storage medium |
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| SE01 | Entry into force of request for substantive examination | ||
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| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20180316 |