CN111035377A - Human health state monitoring system and method based on ZigBee technology - Google Patents
Human health state monitoring system and method based on ZigBee technology Download PDFInfo
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Abstract
The invention provides a human health state monitoring system based on a ZigBee technology, which comprises: the information acquisition unit is used for acquiring biological data and behavior data of a human body, wherein the biological data comprises heart rate, blood oxygen and blood pressure, and the behavior data comprises arm acceleration, waist acceleration and leg acceleration; the control processing unit is connected with the information acquisition unit and is used for processing, storing and sending the biological data and the behavior data acquired by the information acquisition unit; the display terminal unit is connected with the control processing unit, is used for displaying data and sending the data to a specified intelligent terminal for displaying; the monitoring of the current motion state of the human body is realized, and the judgment of the biological data by combining the motion state is realized, so that the accuracy of judging the health state of the human body according to the biological data is ensured. The invention can monitor the health status of human body in real time in static and moving states, has simple operation, real-time display and safe wireless transmission.
Description
Technical Field
The invention relates to the technical field of biological medical treatment, in particular to a human health state monitoring system and method based on a ZigBee technology.
Background
The heart rate, pulse and blood pressure of a human body reflect the health condition of the human body, and are one of important indexes for monitoring the health and diagnosing clinical illness. At present, most of portable health monitoring equipment and devices monitor single physiological parameters, and when various parameters need to be monitored, the portable health monitoring equipment and devices consume time and energy, increase medical cost, are inconvenient to operate and are not intuitive to display.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a human health state monitoring system and method based on a ZigBee technology.
The invention provides a human health state monitoring system based on a ZigBee technology, which comprises:
the information acquisition unit is used for acquiring biological data and behavior data of a human body, wherein the biological data comprises heart rate, blood oxygen and blood pressure, and the behavior data comprises arm acceleration, waist acceleration and leg acceleration;
the control processing unit is connected with the information acquisition unit and is used for processing, storing and sending the biological data and the behavior data acquired by the information acquisition unit;
the display terminal unit is connected with the control processing unit, is used for displaying data and sending the data to a specified intelligent terminal for displaying;
and the power supply management unit is respectively connected with the information acquisition unit, the control processing unit and the display terminal unit for supplying power.
Preferably, the information collecting unit includes: heart rate sensor, blood oxygen sensor, blood pressure sensor, arm acceleration sensor, waist acceleration sensor and shank acceleration sensor.
Preferably, the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor are all connected with the control processing unit and are in wireless communication with the control processing unit.
Preferably, the control processing unit includes:
the microcontroller module is used for monitoring the acquired data of the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor in real time and controlling the working modes of the sensors;
and the data processing module is used for carrying out data processing on the biological data and the behavior data obtained by the signal acquisition unit.
Preferably, the data processing module processes the acquired biological data and behavior data by adopting a signal processing method combining a data fusion algorithm of a multivariate autoregressive model and human situation recognition.
Preferably, the display terminal unit includes:
the early warning display module is connected with the microcontroller module; the early warning display module is used for displaying the current data detected by the sensor exceeding the corresponding detection threshold interval;
the local display module is connected with the data processing module and is used for displaying the data processed by the data processing module;
and the network display module is used for sending the data processed by the data processing module to the intelligent terminal in the preset database.
Preferably, the control processing unit further comprises a wireless transceiver module, and the data processing module and the microcontroller module are respectively connected with the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor through the wireless transceiver module.
Preferably, the wireless transceiver module adopts a ZigBee wireless communication mode.
Preferably, the power management module adopts a lithium battery.
A human health state monitoring method based on ZigBee technology includes the steps that firstly, biological data and behavior data of a human body are collected in real time through a sensor, the biological data comprise heart rate, blood oxygen and blood pressure, and the behavior data comprise arm acceleration, waist acceleration and leg acceleration;
then, carrying out data processing on the real-time acquired data of each sensor to obtain real-time monitoring data corresponding to each sensor, and monitoring the health state of the human body according to the real-time monitoring data;
the acquisition of the real-time monitoring data corresponding to any sensor specifically comprises the following steps:
firstly, a plurality of real-time acquisition data V acquired in the latest time period of the sensor are obtainedv-1,Vv-2,……,Vv-pAnd establish a matrix Uv=[1;Vv-1;Vv-2;……;Vv-p];V v-n1 ≦ n ≦ p for the values collected by the sensor; u shapevVector composed of sampling values;
setting construction matrixAnd QR decomposition is carried out on K, Q is an orthogonal matrix,and sets parametersR11、R12An upper triangular matrix in the local area network;
calculating the real-time monitoring data V corresponding to the latest time period of the sensor according to the following formulavComprises the following steps:
the human health state monitoring system based on the ZigBee technology provided by the invention integrates the heart rate, the pulse and the blood pressure into a whole, monitors the health state and ensures the comprehensive acquisition of health state data. Meanwhile, in the application, the monitoring of the current motion state of the human body is realized by combining the behavior data, and the judgment of the biological data by combining the motion state is realized, so that the accuracy of judging the health state of the human body according to the biological data is ensured. The invention can monitor the health status of human body in real time in static and moving states, has simple operation, real-time display and safe wireless transmission.
The human health state monitoring system based on the ZigBee technology is simple to operate, displays in real time, is safe to transmit, saves electricity, is simple and low in cost, has own protocol standard, can realize communication among a plurality of microsensors in a mutually coordinated mode, and is very suitable for data acquisition and transmission of a portable health monitoring platform sensor. Can be used in hospitals, families and nursing homes, can give early warning in time when the physical condition of people changes, and then treat in time, and provides more convenience, freedom and comfort level for patients.
Drawings
FIG. 1 is a block diagram of a human health status monitoring system based on ZigBee technology according to the present invention;
FIG. 2 is a flow chart of a human health status monitoring method based on ZigBee technology according to the present invention;
fig. 3 is a flow chart of a method for acquiring real-time monitoring data corresponding to any one of the sensors in fig. 2.
Detailed Description
Referring to fig. 1, the human health status monitoring system based on the ZigBee technology provided by the present invention includes: the device comprises an information acquisition unit, a control processing unit, a display terminal unit and a power management unit. And the power supply management unit is respectively connected with the information acquisition unit, the control processing unit and the display terminal unit for supplying power. In specific implementation, the power management module adopts a lithium battery so as to be recycled.
The information acquisition unit is used for acquiring biological data and behavior data of a human body, the biological data comprises heart rate, blood oxygen and blood pressure, and the behavior data comprises arm acceleration, waist acceleration and leg acceleration.
Specifically, in this embodiment, the information acquisition unit includes: heart rate sensor, blood oxygen sensor, blood pressure sensor, arm acceleration sensor, waist acceleration sensor and shank acceleration sensor. When the heart rate sensor works, the heart rate sensor is fixed at the heart of the body surface and used for collecting the heart rate; the blood oxygen sensor is fixed at the position of the thumb and used for acquiring the blood oxygen saturation information of the human body; the blood pressure sensor is fixed at the upper arm and used for acquiring the pulse and blood pressure information of the human body; the arm acceleration sensor is fixed on the upper arm and used for acquiring the activity state information of the hand of the human body; the waist acceleration sensor is fixed on the waist and the back and is used for acquiring the activity state information of the waist of the human body; the leg acceleration sensor is fixed on the inner side of the thigh and used for obtaining the activity state information of the legs of the human body.
In the embodiment, the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor are all connected with the control processing unit and are in wireless communication with the control processing unit. Specifically, in this embodiment, the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor are respectively provided with a wireless transceiver in a matching manner, so as to transmit and receive data through a wireless network.
And the control processing unit is connected with the information acquisition unit and is used for processing, storing and sending the biological data and the behavior data acquired by the information acquisition unit.
Specifically, in this embodiment, the control processing unit may be composed of a CC2530 chip, a microcontroller, a memory, a Radio Frequency (RF) front end, a common on-chip peripheral device, a peripheral circuit, and the like, so as to process, store, and transmit and receive signals acquired by each sensor.
Specifically, in the present embodiment, the control processing unit includes: microcontroller module and data processing module. The microcontroller module is used for monitoring the data collected by the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor in real time and controlling the working modes of the sensors. The data processing module is used for processing the biological data and the behavior data obtained by the signal acquisition unit. Specifically, in this embodiment, the data processing module processes the acquired biological data and behavior data by using a signal processing method combining a data fusion algorithm of a multivariate autoregressive model and human situation recognition, so as to ensure that high-precision reliable data is obtained.
During specific implementation, the microcontroller module can respectively set biological data detection threshold intervals corresponding to different behavior data, so that the current biological data detection threshold interval is determined according to the behavior data obtained by the signal acquisition unit, and each biological data is compared with the corresponding detection threshold interval to judge the health state, thereby realizing real-time monitoring and judgment of the health state. And the data processing module realizes the data processing of the behavior data and the biological data, and is favorable for further monitoring and analyzing the health state of the human body through the processing result of the sensor data.
Specifically, in this embodiment, the control processing unit further includes a wireless transceiver module, and the data processing module and the microcontroller module are respectively connected to the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor through the wireless transceiver module.
In the embodiment, the wireless transceiver module adopts a ZigBee wireless communication mode to ensure short-distance, low power consumption and high-reliability bidirectional wireless communication.
And the display terminal unit is connected with the control processing unit and used for displaying data and sending the data to a specified intelligent terminal for displaying.
Specifically, in this embodiment, the display terminal unit includes: the system comprises an early warning display module, a local display module and a network display module.
The early warning display module is connected with the microcontroller module; detection threshold value intervals corresponding to the biological data are preset in the microcontroller module, and the early warning display module is used for displaying current data detected by the sensor exceeding the corresponding detection threshold value intervals. Therefore, the early warning display module realizes independent display of abnormal data and is beneficial to timely finding abnormal health state data. Meanwhile, the early warning display module can also early warn the falling condition of the sensor so as to ensure the normal collection of data.
The local display module is connected with the data processing module and is used for carrying out on-site display on the data processed by the data processing module so that on-site workers can know the acquisition condition of the health data in real time.
And the network display module is used for sending the data processed by the data processing module to the intelligent terminal in the preset database. Therefore, the data are stored through the database, the pressure of equipment stored on site is avoided, and meanwhile, the data are sent to an intelligent terminal such as a mobile phone of a family of a patient, so that the convenience of the patient and the family is improved. Specifically, in this embodiment, the network display module may send data to the associated intelligent terminal through the GPRS module and GSM wireless communication.
Referring to fig. 2, the invention also provides a human health status monitoring method based on the ZigBee technology, which includes acquiring biological data and behavior data of a human body in real time by a sensor, the biological data including heart rate, blood oxygen and blood pressure, the behavior data including arm acceleration, waist acceleration and leg acceleration;
and then, carrying out data processing on the real-time acquired data of each sensor to obtain real-time monitoring data corresponding to each sensor, and monitoring the health state of the human body according to the real-time monitoring data.
Specifically, referring to fig. 3, in the present embodiment, the acquiring of the real-time monitoring data corresponding to any sensor specifically includes the following steps:
firstly, a plurality of data collected in the latest time period of the sensor are obtainedReal-time data acquisition Vv-1,Vv-2,……,Vv-pAnd establish a matrix Uv=[1;Vv-1;Vv-2;……;Vv-p];V v-n1 ≦ n ≦ p for the values collected by the sensor; u shapevVector composed of sampling values;
setting construction matrixAnd QR decomposition is carried out on K, Q is an orthogonal matrix,and sets parametersR11、R12An upper triangular matrix in the local area network;
calculating the real-time monitoring data V corresponding to the latest time period of the sensor according to the following formulavComprises the following steps:
Vv=BUv+εv,εv=noise(C),wherein L is the number of data types acquired by the signal acquisition unit, for example, the data types in the system include: heart rate, blood oxygen, blood pressure, arm acceleration, waist acceleration, and leg acceleration, then L is 6. M is the number of sensors, specifically, L is greater than or equal to M, i.e., there may be a plurality of identical sensors. P is the amount of data collected by the sensor in the most recent time period, i.e., P ═ P.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention are equivalent to or changed within the technical scope of the present invention.
Claims (10)
1. A human health state monitoring system based on ZigBee technology is characterized by comprising:
the information acquisition unit is used for acquiring biological data and behavior data of a human body, wherein the biological data comprises heart rate, blood oxygen and blood pressure, and the behavior data comprises arm acceleration, waist acceleration and leg acceleration;
the control processing unit is connected with the information acquisition unit and is used for processing, storing and sending the biological data and the behavior data acquired by the information acquisition unit;
the display terminal unit is connected with the control processing unit, is used for displaying data and sending the data to a specified intelligent terminal for displaying;
and the power supply management unit is respectively connected with the information acquisition unit, the control processing unit and the display terminal unit for supplying power.
2. The human health status monitoring system based on ZigBee technology as claimed in claim 1, wherein the information collecting unit comprises: heart rate sensor, blood oxygen sensor, blood pressure sensor, arm acceleration sensor, waist acceleration sensor and shank acceleration sensor.
3. The ZigBee-technology-based human health status monitoring system as claimed in claim 2, wherein the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor are all connected to the control processing unit and are in wireless communication with the control processing unit.
4. The human health status monitoring system based on the ZigBee technology as claimed in claim 2, wherein the control processing unit comprises:
the microcontroller module is used for monitoring the acquired data of the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor in real time and controlling the working modes of the sensors;
and the data processing module is used for carrying out data processing on the biological data and the behavior data obtained by the signal acquisition unit.
5. The human health status monitoring system based on ZigBee technology as claimed in claim 4, wherein the data processing module processes the obtained biological data and behavior data by using a signal processing method combining a data fusion algorithm of a multivariate autoregressive model and human situation recognition.
6. The human health status monitoring system based on ZigBee technology as claimed in claim 4, wherein the display terminal unit comprises:
the early warning display module is connected with the microcontroller module; the early warning display module is used for displaying the current data detected by the sensor exceeding the corresponding detection threshold interval;
the local display module is connected with the data processing module and is used for displaying the data processed by the data processing module;
and the network display module is used for sending the data processed by the data processing module to the intelligent terminal in the preset database.
7. The human health status monitoring system based on ZigBee technology as claimed in claim 4, wherein the control processing unit further comprises a wireless transceiver module, and the data processing module and the microcontroller module are respectively connected with the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the arm acceleration sensor, the waist acceleration sensor and the leg acceleration sensor through the wireless transceiver module.
8. The human health status monitoring system based on ZigBee technology as claimed in claim 7, wherein the wireless transceiver module adopts ZigBee wireless communication mode.
9. The human health status monitoring system based on ZigBee technology as claimed in claim 1, wherein the power management module employs a lithium battery.
10. A human health state monitoring method based on ZigBee technology is characterized in that biological data and behavior data of a human body are collected in real time through a sensor, the biological data comprises heart rate, blood oxygen and blood pressure, and the behavior data comprises arm acceleration, waist acceleration and leg acceleration;
then, carrying out data processing on the real-time acquired data of each sensor to obtain real-time monitoring data corresponding to each sensor, and monitoring the health state of the human body according to the real-time monitoring data;
the acquisition of the real-time monitoring data corresponding to any sensor specifically comprises the following steps:
firstly, a plurality of real-time acquisition data V acquired in the latest time period of the sensor are obtainedv-1,Vv-2,……,Vv-pAnd establish a matrix Uv=[1;Vv-1;Vv-2;……;Vv-p];Vv-n1 ≦ n ≦ p for the values collected by the sensor; u shapevVector composed of sampling values;
setting construction matrixAnd QR decomposition is carried out on K, Q is an orthogonal matrix,and sets parametersR11、R12An upper triangular matrix in the local area network;
calculating the real-time monitoring data V corresponding to the latest time period of the sensor according to the following formulavComprises the following steps:
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| CN113693572A (en) * | 2021-07-21 | 2021-11-26 | 湖北智奥物联网科技有限公司 | Noninvasive multidimensional dynamic health management system and device |
| CN115444383A (en) * | 2022-09-29 | 2022-12-09 | 歌尔科技有限公司 | Intelligent health monitoring method, system, equipment and storage medium |
| CN116439675A (en) * | 2023-03-28 | 2023-07-18 | 深圳市莱康宁医用科技股份有限公司 | Measurement method, device and system applied to human circulatory system |
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| 杜天旭,吴晓雯,庄伟: ""基于ZigBee技术的人体健康监测平台"" * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113693572A (en) * | 2021-07-21 | 2021-11-26 | 湖北智奥物联网科技有限公司 | Noninvasive multidimensional dynamic health management system and device |
| CN115444383A (en) * | 2022-09-29 | 2022-12-09 | 歌尔科技有限公司 | Intelligent health monitoring method, system, equipment and storage medium |
| CN116439675A (en) * | 2023-03-28 | 2023-07-18 | 深圳市莱康宁医用科技股份有限公司 | Measurement method, device and system applied to human circulatory system |
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