WO2021083136A1

WO2021083136A1 - Physiological characteristic data analysis method and apparatus in sitting posture state

Info

Publication number: WO2021083136A1
Application number: PCT/CN2020/123941
Authority: WO
Inventors: 杜磊; 王晋平; 崔子琦
Original assignee: 北京大众益康科技有限公司
Priority date: 2019-10-29
Filing date: 2020-10-27
Publication date: 2021-05-06
Also published as: CN110755086A

Abstract

A physiological characteristic data analysis method and apparatus in a sitting posture state, which relate to the technical field of data analysis. The method comprises: when a user is in a sitting posture state, detecting vibration data of the user by means of a sensor (S102); transmitting the detected vibration data to a server for analysis and storage, and transmitting vital sign data analyzed and returned by the server to a mobile device for display (S104); and when the vital sign data exceeds a preset prewarning threshold, giving a prewarning to the mobile device by means of the server (S106). The physiological characteristic data analysis method and apparatus in the sitting posture state can detect the vibration data of the user when the user is in the sitting posture state, transmit the data to the server for analysis and storage, acquire the vital sign data analyzed and returned by the server, and give a prewarning when vital sign data exceeds the preset prewarning threshold to achieve the technical effects of reminding the user of an abnormality in time and reminding a client to consult a doctor.

Description

Physiological characteristic data analysis method and device in sitting state

Cross-references to related applications

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on October 29, 2019, with the application number 2019110483932 and titled "A method and device for analyzing physiological characteristics data in a sitting state", the entire content of which is incorporated by reference Incorporated in this application.

Technical field

This application relates to the technical field of data analysis, and in particular to a method and device for analyzing physiological characteristic data in a sitting state.

Background technique

At present, in the process of life and work, modern people often sit on toilets, sofas, chairs for a long time, which will bring a series of health problems such as lumbar muscle strain, hemorrhoids and other diseases. However, these diseases affect people in the pre-onset stage. It is not easy to perceive, which prevents people from consulting and seeking medical treatment in time, leading to aggravation of the disease.

Summary of the invention

In view of this, the present application provides a method and device for analyzing physiological characteristic data in a sitting state, so as to improve the technical problem of not being able to consult a doctor in time and perform treatment.

The embodiments of this application are implemented as follows:

In the first aspect, an embodiment of the present application provides a method for analyzing physiological characteristic data in a sitting state, and the method includes the following steps:

When the user is in a sitting state, detecting the vibration data of the user through the sensor;

Transmitting the detected vibration data to a server for analysis and storage, and transmitting the vital sign data analyzed and returned by the server to a mobile device for display;

When the vital sign data exceeds a pre-set early warning threshold, an early warning is given to the mobile device through the server.

With reference to the first aspect, the embodiments of the present application provide a possible implementation of the first aspect, in which, when the user is in a sitting state, the pressure data of the user is detected by the sensor;

The detected pressure data is transmitted to the server for analysis and storage, and the weight sign data returned by the server analysis is transmitted to the mobile device for display.

With reference to a possible implementation manner of the first aspect, an embodiment of the present application provides another possible implementation manner of the first aspect, wherein the method further includes:

The vibration data and the pressure data of the same user at different time points are detected by the sensor, transmitted to the server for analysis and storage, and the vital sign data and the vital sign data returned by the server are analyzed and stored. The weight sign data is transmitted to a mobile device for display, and the vital sign data and changes in the weight sign data of the same user at the different time points are obtained.

Detect the vibration data and pressure data of different users through the sensor, transmit to the server for analysis and storage, and transmit the vital sign data and the weight sign data returned by the server analysis Display on a mobile device, obtain the vital sign data and the weight sign data of the different users, and use them to distinguish the different users.

With reference to a possible implementation manner of the first aspect, an embodiment of the present application provides another possible implementation manner of the first aspect, where the sensor includes a piezoresistive sensor and a piezoelectric sensor;

Detecting the pressure data by the piezoresistive sensor, and acquiring the weight sign data of the user;

The vibration data is detected by the piezoelectric sensor, and the vital sign data of the user is acquired.

In combination with a possible implementation manner of the first aspect, an embodiment of the present application provides another possible implementation manner of the first aspect, wherein the vital sign data includes strong vibration data and weak vibration data, wherein the strong vibration data The vibration data includes the body movement data, and the weak vibration data includes the heart rate data and the respiration data;

The step of detecting the vibration data by the piezoelectric sensor and acquiring the vital sign data of the user includes:

When the intensity of the vibration data of the user is higher than the preset vibration threshold, the user is in a strong vibration state, the vibration data is detected by the piezoelectric sensor, and the vital sign data is acquired The said body movement data;

When the intensity of the vibration data of the user is lower than the preset vibration threshold, the user is in a weak vibration state, the vibration data is detected by the piezoelectric sensor, and the vital sign data is acquired Of the heart rate data and the breathing data.

With reference to the first aspect, the embodiments of the present application provide another possible implementation manner of the first aspect, wherein the detected vibration data is transmitted to a server for analysis and storage, and the server analyzes The steps for transmitting the returned vital signs data to the mobile device for display include:

Collecting the detected vibration data through a data collecting module;

The vibration data collected by the data collection module is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display.

In combination with a possible implementation manner of the first aspect, the embodiments of the present application provide another possible implementation manner of the first aspect, wherein, when the vital sign data exceeds a preset early warning threshold, pass The step of the server giving an early warning to the mobile device includes:

When the vital sign data shows that the body movement data exceeds a preset body movement data warning threshold, the body movement data is abnormal, and an early warning is given to the mobile device through the server;

When the vital sign data shows that the heart rate data and/or the respiration data exceed the preset heart rate data and/or the respiration data warning threshold, the heart rate data and/or the respiration data is abnormal, Early warning is given to the mobile device through the server.

With reference to a possible implementation manner of the first aspect, an embodiment of the present application provides another possible implementation manner of the first aspect, and the method further includes:

Acquiring the duration of the user in a strong vibration state and the duration of the user in a weak vibration state;

Taking the sum of the duration of the user in a strong vibration state and the duration of the user in a weak vibration state as the sitting duration of the user;

The sitting position time length is transmitted to the server for analysis and storage, and the sitting position time length analysis result returned by the server analysis is transmitted to the mobile device for display.

When the user is in a sitting state, collecting the ECG signal data of the user through the ECG signal collecting device;

The ECG signal data is transmitted to the server for analysis and storage, and the ECG signal analysis result returned by the server analysis is transmitted to the mobile device for display.

With reference to a possible implementation manner of the first aspect, an embodiment of the present application provides another possible implementation manner of the first aspect, and the electrode includes a dry electrode and/or a wet electrode.

In combination with a possible implementation manner of the first aspect, the embodiments of the present application provide another possible implementation manner of the first aspect. If the electrode includes the dry electrode and the wet electrode, the The step of sending the ECG signal data to the server for analysis includes:

The ECG signal data collected by the wet electrode is sent to the server for analysis.

When the user is in a sitting state, detecting the user's body temperature data through the sensor;

The detected body temperature data is transmitted to the server for analysis and storage, and the body temperature data analysis result returned by the server analysis is transmitted to the mobile device for display.

With reference to a possible implementation manner of the first aspect, an embodiment of the present application provides another possible implementation manner of the first aspect, and the sensor includes a piezoelectric sensor and a body temperature detection sensor;

Detecting the vibration data by the piezoelectric sensor, and acquiring the vital sign data of the user;

The body temperature data is detected by the body temperature detection sensor, and the body temperature data of the user is acquired.

When the user is in a sitting state, detecting the environmental data of the environment in which the user is located through the sensor;

The detected environmental data is transmitted to the server for analysis and storage, and the environmental data analysis result returned by the server analysis is transmitted to the mobile device for display.

With reference to a possible implementation manner of the first aspect, an embodiment of the present application provides another possible implementation manner of the first aspect, and the sensor includes a piezoelectric sensor and an environment detection sensor;

The environment data is detected by the environment detection sensor, and the environment data of the environment where the user is located is acquired.

Receive physical examination data transmitted by external testing equipment;

The physical examination data is transmitted to the server for analysis and storage, and the physical examination data analysis result returned by the server analysis is transmitted to the mobile device for display.

Receive the first analysis result returned by the server and display the first analysis result, where the first analysis result data is obtained after the server analyzes the received detection data.

The detection data is analyzed to obtain a second analysis result, and the second analysis result is displayed.

In a second aspect, an embodiment of the present application also provides a physiological characteristic data analysis device in a sitting state, the device including:

The data detection module is configured to detect the vibration data of the user through the sensor when the user is in a sitting state;

A vital sign data acquisition module, configured to transmit the detected vibration data to a server for analysis and storage, and transmit the vital sign data analyzed and returned by the server to a mobile device;

The early warning module is configured to give an early warning to the mobile device through the server when the vital sign data exceeds a preset early warning threshold.

With reference to the second aspect, the embodiments of the present application provide a possible implementation manner of the second aspect, wherein the vital sign data acquisition module is configured as:

Collecting the detected vibration data through a data collecting module;

In a third aspect, an embodiment of the present application further provides an electronic device, the electronic device includes a memory, a processor, and a sensor, the memory stores a computer program, and the processor executes the computer program to implement the above The method described.

In a fourth aspect, the embodiments of the present application also provide a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is called and executed by a processor, the computer program causes the processor to Implement the method described above.

In a fifth aspect, an embodiment of the present application also provides a smart furniture, including an electronic device that implements the method described above.

One of the beneficial effects brought by the embodiments of the present application: The embodiment of the present application provides a method and device for analyzing physiological characteristic data in a sitting state. When the user is in a sitting state, the vibration data of the user is detected by a sensor and The vibration data is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display, and it is determined whether the vital sign data exceeds the pre-set early warning threshold, and when the vital sign data exceeds the The pre-set warning threshold is used to send an early warning to the mobile device through the server. The physiological characteristic data analysis method and device in the sitting state of the embodiment of the present application can detect the user's vibration data when the user is in the sitting state, transmit it to the server for analysis and storage, obtain the vital sign data returned by the server analysis, and then When the vital sign data exceeds the pre-set early warning threshold, an early warning is given to achieve the technical effect of promptly reminding the user of abnormality and reminding the client to consult a doctor.

Other features and advantages of the present application will be described in the following description, and partly become obvious from the description, or can be understood by implementing the present application. The purpose and other advantages of the application are realized and obtained in the structure specifically pointed out in the specification, claims and drawings.

In order to make the above objectives, features, and advantages of the present application more obvious and understandable, specific embodiments accompanied with accompanying drawings are described in detail as follows.

Description of the drawings

In order to more clearly illustrate the specific embodiments of the application or the technical solutions in the prior art, the following will briefly introduce the drawings that need to be used in the specific embodiments or the description of the prior art. Obviously, in the following description The drawings are some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

FIG. 1 is a flowchart of a method for analyzing physiological characteristic data in a sitting state according to an embodiment of the application;

2 is a flowchart of another method for analyzing physiological characteristic data in a sitting state according to an embodiment of the application;

FIG. 3 is a structural block diagram of a physiological characteristic data analysis device in a sitting state according to an embodiment of the present application;

FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of this application clearer, the technical solutions of this application will be described clearly and completely in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of this application, not all of them.的实施例。 Example. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative work shall fall within the protection scope of this application.

Nowadays, in the process of life and work, modern people often sit on toilets, sofas, and chairs for a long time. This will bring a series of health problems such as lumbar muscle strain, hemorrhoids and other diseases. It is not easy for people to perceive, which makes it impossible for people to consult and seek medical treatment in time, which leads to aggravation of the disease. Based on this, the embodiments of the present application provide a method and device for analyzing physiological characteristic data in a sitting state to alleviate the above-mentioned problems.

In order to facilitate the understanding of this embodiment, a method for analyzing physiological characteristic data in a sitting state disclosed in the embodiment of the present application is first introduced in detail.

In a possible implementation manner, this application provides a method for analyzing physiological characteristic data in a sitting state. Fig. 1 is a flowchart of a method for analyzing physiological characteristic data in a sitting state according to an embodiment of the application, and the method includes the following steps:

Step S102: When the user is in a sitting state, the vibration data of the user is detected by the sensor.

Step S104: Transmit the detected vibration data to the server for analysis and storage, and transmit the vital sign data analyzed and returned by the server to the mobile device for display.

Among them, in addition to transmitting the vital signs data to the mobile device for display, when the physiological characteristic data analysis method of the embodiment of the present application is applied to objects such as toilets, sofas, chairs, beds, etc., the vital signs data can also be displayed on the Display equipment on objects such as toilets, sofas, chairs, and beds.

Step S106: When the vital sign data exceeds a preset early warning threshold, an early warning is given to the mobile device through the server.

The mobile device can also be replaced by a device with a display function, such as a computer or a screen, and the embodiment of the present application does not limit the specific type of the device with the display function.

It is important to note that the vital signs data returned from the server analysis can be for only one device, or it can be for multiple devices at the same time.

It should be further explained that the embodiment of this application adopts a method for analyzing physiological characteristic data in a sitting state, which is a method that is performed in a no-load state, where no-load means that the measurement process is sensorless and does not require the user to change anything. Use habits and perform any operations.

One of the beneficial effects brought by the embodiments of the present application: The embodiments of the present application use a method for analyzing physiological characteristic data in a sitting state. When the user is in a sitting state, the vibration data of the user is detected by a sensor and the vibration data is transmitted To the server for analysis and storage, and transmit the vital sign data returned by the server analysis to the mobile device for display, and determine whether the vital sign data exceeds the pre-set early warning threshold, and when the vital sign data exceeds the pre-set When the early warning threshold is used, the server sends an early warning to the mobile device. The physiological characteristic data analysis method and device in the sitting state of the embodiment of the present application can detect the user's vibration data when the user is in the sitting state, transmit it to the server for analysis and storage, obtain the vital sign data returned by the server analysis, and then When the vital sign data exceeds the pre-set early warning threshold, an early warning is given to achieve the technical effect of promptly reminding the user of abnormality and reminding the client to consult a doctor.

In addition to detecting the vibration data of the user in the sitting state, the method for analyzing physiological characteristic data in the sitting state provided in the embodiments of the present application can also detect the pressure data of the user in this state, and obtain the The user's weight and physical data, the specific steps are as follows:

When the user is in a sitting state, detecting the pressure data of the user through the sensor;

It should be further explained that in the embodiments of the present application, sensors installed on objects such as cushions, toilets, sofas, chairs, beds, etc. are used to detect the vibration data and pressure data of the user in a sitting state, which can be applied to In scenarios such as homes, hospitals, nursing homes, etc., the above-mentioned objects may have other forms besides toilets, sofas, chairs, and beds, which are not limited in the embodiments of the present application.

In the above process of detecting the vibration data and pressure data of the user in the sitting state using the physiological characteristic data analysis method in the sitting state provided by the embodiment of the present application, the vibration data and pressure of the same user at different time points can be respectively targeted. The data, as well as the vibration data and pressure data of different users are detected and analyzed, so as to obtain the vibration data and pressure data changes of the same user at different time points, and to distinguish different users.

Specifically, the sensor detects the vibration data and the pressure data of the same user at different time points, transmits them to the server for analysis and storage, and analyzes the vital sign data returned by the server And the weight sign data are transmitted to a mobile device for display, and the vital sign data and changes in the weight sign data of the same user at the different time points are acquired.

Among them, when performing detection in a home environment, it is usually to detect vibration data and pressure data of the same user at different time points, and obtain changes in vital sign data and weight sign data of the same user at different time points.

Further, the vibration data and the pressure data of different users are detected by the sensor, transmitted to the server for analysis and storage, and the vital sign data and the weight returned by the server are analyzed The physical sign data is transmitted to a mobile device for display, and the vital sign data and the weight sign data of the different users are obtained, and used to distinguish the different users.

Among them, when detecting in a public environment, the vibration data and pressure data of different users are usually detected, and the vital sign data and weight sign data of different users are obtained to distinguish different users.

In the embodiment of the present application, in the process of detecting the vibration data and pressure data of the user by the sensor, the data detection is performed by different types of sensors. The specific process is as follows:

Wherein, the sensor includes a piezoresistive sensor and a piezoelectric sensor;

It should be further explained that the above-mentioned sensor can be embedded in a seat cushion or a toilet seat of a toilet, or embedded in a chair, sofa, bed, etc., to detect the pressure data and vibration data of the user.

Further, the above steps of detecting the vibration data by the piezoelectric sensor and acquiring the vital sign data of the user can be implemented in the following two situations:

It should be noted that, in addition to detecting and analyzing the user's weight data, body movement data, heart rate data, and respiration data, the method of the embodiments of the present application can also detect and analyze the user's sitting time for analysis. The application embodiment does not limit this, and the sitting position time is the sum of the time the user is in the strong vibration state and the weak vibration state.

Wherein, the vital sign data includes strong vibration data and weak vibration data, wherein the strong vibration data includes the body movement data, and the weak vibration data includes the heart rate data and the respiration data.

In addition, it needs to be further explained that when the body movement is small, the strong vibration data cannot be detected. At this time, only the weak vibration data can be detected; and when the body movement is large, the strong vibration data will obliterate the weak vibration data, making only Strong vibration data can be detected.

In actual use, in the process of transmitting the detected vibration data to the server for analysis and storage, and transmitting the vital sign data returned by the server analysis to the mobile device for display, it is also necessary to perform the vibration data through the data collection module The process of collecting and transmitting the collected vibration data to the server and the mobile device. Therefore, in order to describe the above process in more detail, the embodiment of the present application shows another type provided by the embodiment of the present application in FIG. 2 A flowchart of a method for analyzing physiological characteristics data in a sitting state, the method includes the following steps:

Step S202: When the user is in a sitting state, the vibration data of the user is detected by the sensor.

Step S204: Collect the detected vibration data through the data collection module.

Step S206: The vibration data collected by the data collection module is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display.

Among them, the vital sign data returned by the server analysis is wirelessly transmitted to the mobile device for display through WeChat applets, applications, etc., and it can also be fed back to the mobile device by sending text messages and making phone calls.

Step S208: When the vital sign data exceeds a preset early warning threshold, an early warning is given to the mobile device through the server.

Corresponding to the strong vibration data and weak vibration data included in the vital sign data, and the strong vibration data includes body movement data, and the weak vibration data includes heart rate data and respiration data. When the vital sign data exceeds a preset warning threshold At the time, the step of pre-warning the mobile device through the server can be implemented in the following two situations:

In addition to detecting the vibration data of the user in the sitting state, the method for analyzing physiological characteristic data in the sitting state provided in the embodiments of the present application can also detect the ECG signal data of the user in this state. To obtain the analysis result of the ECG signal of the user, the specific steps are as follows:

It should be further explained that the electrodes in the embodiments of the present application can be dry electrodes. For example, the dry electrodes of the ECG signal acquisition device can be installed on both ends of the armrests of objects with armrests such as sofas and chairs. The left and right armrests can be separate With one electrode installed, the user touches two dry electrodes with both hands at the same time, and the ECG signal acquisition device can collect the user's ECG signal data through the dry electrodes. The electrodes in the embodiments of the present application may also be wet electrodes, and the wet electrodes may be attached to the surface of the user's skin, and the ECG signal collection device can collect the user's ECG signal data through the wet electrodes.

It should also be noted that the dry electrode and the wet electrode can exist alternatively or at the same time. If the dry electrode and the wet electrode exist at the same time, the ECG signal data collected from the user through the wet electrode will be sent to the server for analysis and storage. So that you can get more accurate analysis results.

In addition to detecting the vibration data of the user in the sitting state, the method for analyzing physiological characteristic data in the sitting state provided in the embodiments of the present application can also detect the body temperature data of the user in this state, and obtain the The user's body temperature data analysis results, the specific steps are as follows:

The above-mentioned process of detecting the user's vibration data and body temperature data through sensors is to perform data detection through different types of sensors. The specific process is as follows:

It should be further explained that the body temperature detection sensor includes a high-precision body temperature detection probe, which can be placed on the user's armpit, body surface, oral cavity and other parts for temperature measurement, and then the body temperature detection sensor is combined with a chair, sofa, etc. The communication connection, for example, can be connected by a cable.

The physiological characteristic data analysis method in the sitting state provided in the embodiments of the present application can not only detect the vibration data of the user in the sitting state, but also detect the environmental data of the user in this state. To obtain the environmental data analysis result of the user, the specific steps are as follows:

The above-mentioned process of detecting the user's vibration data and environmental data through sensors is to perform data detection through different types of sensors. The specific process is as follows:

It should be further explained that environmental detection sensors may include, but are not limited to, temperature sensors, humidity sensors, noise sensors, etc. The temperature sensor can obtain the temperature data of the user's environment, and the humidity sensor can obtain the humidity data of the user's environment. , Through the noise sensor, the noise data of the user's environment can be obtained.

It should be further explained that the above-mentioned sensor can be embedded in a seat cushion or a toilet seat of a toilet, or embedded in a chair, sofa, bed, etc., to detect the environmental data of the user.

The physiological characteristic data analysis method in the sitting state provided in the embodiments of the present application can not only detect the vibration data of the user in the sitting state, but also receive the physical examination data from the external detection device to obtain the physical examination data of the user. The analysis results, the specific steps are as follows:

Receive physical examination data transmitted by external testing equipment;

It should be further explained that the external detection equipment includes, but is not limited to, detection equipment such as blood oxygen, electrocardiogram, blood pressure, and brain electricity. The external detection device can communicate with objects such as toilets, chairs, sofas, etc., that keep the user in a sitting state through interfaces such as Bluetooth and serial ports.

The physiological characteristic data analysis method in the sitting state provided in the embodiments of the present application can not only detect various data of the user in the sitting state and transmit it to the server for analysis, but also return the first data returned by the server. The analysis results are displayed, and the specific steps are as follows:

It should be further explained that the received detection data may be the above-mentioned vital sign data, weight sign data, the vibration data detected by the data collection module, the length of sitting posture, ECG signal data, body temperature data, environmental data, One or more of the physical examination data, the first analysis result data can be the result obtained after analyzing one or more of the test data, so that the analysis processing process can be more flexible, and the first analysis result can be more flexible. Accurate and more comprehensive.

It should also be noted that, in order to facilitate users to obtain the first analysis result in time, in addition to displaying the first analysis result on objects such as toilets, sofas, chairs, etc., where display devices are installed, and displaying the first analysis results on the mobile terminal, the first analysis result can also be displayed on the mobile terminal. The first analysis result is displayed on the display device of the server.

The physiological characteristic data analysis method in the sitting state provided in the embodiments of the present application can detect various data of the user in the sitting state and transmit it to the server for analysis, in order to avoid the situation that the network is not unblocked. The detection data cannot be analyzed under the following conditions, but preliminary analysis of the detection data can be performed to obtain the second analysis result, and display the second analysis result.

It should be further explained that the above-mentioned detection data may be the above-mentioned vital sign data, weight sign data, the vibration data detected by the data collection module, sitting time length, ECG signal data, body temperature data, environmental data, and physical examination data. One or more of them.

It should be further explained that when the network is unblocked, the first analysis result and the second analysis result can alternatively be displayed on the toilet, sofa, chair and other objects installed with the display device, or both can be displayed. When it is unblocked, the second analysis result is only displayed on objects such as toilets, sofas, chairs, etc., where display devices are installed.

It should be noted that the process of performing preliminary analysis on the detection data and the process of analyzing the detection data by the server may be the same or different, which is not limited in the embodiment of the present application.

It should also be noted that the method for analyzing physiological characteristic data in a sitting state provided in the embodiments of the present application can not only detect various data of the user in the sitting state and transmit it to the server for analysis, but also Data docking with smart speakers, smart homes, lighting equipment, etc. through wireless communication (for example, Bluetooth, WIFI, etc.), in order to control smart speakers, smart homes, and lighting equipment.

It should also be noted that when the above method is applied to objects such as sofas, chairs, etc., as a specific implementation, a touch screen can also be installed on the object, and the seat posture, massage mode, massage intensity, and seat position can be realized through the touch screen. Heating, sedentary reminder and other controls, as another specific implementation, you can control the seat posture, massage mode, massage intensity, seat heating and other controls through buttons. Of course, other control methods can also be adopted, such as automatic control, cloud remote control, etc. Control, mobile phone remote control, etc.

In summary, the physiological characteristic data analysis method in the sitting state of the present application, when the user is in the sitting state, detects the user's vibration data through a sensor and transmits the vibration data to the server for analysis and storage, and the server analyzes The returned vital sign data is transmitted to the mobile device for display, and it is determined whether the vital sign data exceeds the preset early warning threshold, and when the vital sign data exceeds the preset early warning threshold, an early warning is given to the mobile device through the server. The physiological characteristic data analysis method and device in the sitting state of the embodiment of the present application can detect the user's vibration data when the user is in the sitting state, transmit it to the server for analysis and storage, obtain the vital sign data returned by the server analysis, and then When the vital sign data exceeds the pre-set early warning threshold, an early warning is given to achieve the technical effect of promptly reminding the user of abnormality and reminding the client to consult a doctor.

In another possible implementation manner, corresponding to the physiological characteristic data analysis method in the sitting state provided in the above-mentioned implementation manner, an embodiment of the present application also provides a physiological characteristic data analysis device in the sitting state, as shown in FIG. 3 of this application. The embodiment provides a structural block diagram of a physiological characteristic data analysis device in a sitting state. As shown in Figure 3, the device includes:

The data detection module 301 is configured to detect the vibration data of the user through a sensor when the user is in a sitting state;

The vital sign data acquisition module 302 is configured to transmit the detected vibration data to a server for analysis and storage, and transmit the vital sign data analyzed and returned by the server to a mobile device for display;

The early warning module 303 is configured to provide an early warning to the mobile device through the server when the vital sign data exceeds a preset early warning threshold.

In actual use, the vital sign data acquisition module 302 is configured to:

Collecting the detected vibration data through a data collecting module;

In another possible implementation manner, an embodiment of the present application further provides an electronic device. FIG. 4 shows a schematic structural diagram of an electronic device provided by an embodiment of the present application. Referring to FIG. 4, the electronic device includes: The processor 400, the memory 401, the data bus 402, the communication interface 403 and the sensor 404, the processor 400, the memory 401, the communication interface 403 and the sensor 404 are connected by the data bus 402; the processor 400 is configured to execute the data stored in the memory 401 Execution modules, such as computer programs.

The memory 401 stores a computer program that can be executed by the processor 400, and the processor 400 executes the computer program to implement the method described above.

Further, the memory 401 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the Internet, a wide area network, a local network, a metropolitan area network, etc. may be used.

The data bus 402 may be an ISA data bus, a PCI data bus, an EISA data bus, or the like. The data bus can be divided into address data bus, data data bus, control data bus and so on. For ease of presentation, only one bidirectional arrow is used to indicate in FIG. 4, but it does not mean that there is only one data bus or one type of data bus.

The memory 401 is configured to store a program, and the processor 400 executes the program after receiving the program execution instruction. The physiological characteristic data analysis method in a sitting state disclosed in any of the foregoing embodiments of the present application can be applied to the processor 400, or implemented by the processor 400.

The sensor 404 includes, but is not limited to, at least one of a piezoresistive sensor, a piezoelectric sensor, a body temperature detection sensor, an environment detection sensor, and the like.

In addition, the processor 400 may be an integrated circuit chip with signal processing capabilities. In the implementation process, the steps of the foregoing method may be completed by an integrated logic circuit of hardware in the processor 400 or instructions in the form of software. The above-mentioned processor 400 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP), etc.; it may also be a digital signal processor (Digital Signal Processing, DSP for short), etc. ), Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers. The storage medium is located in the memory 401, and the processor 400 reads the information in the memory 401, and completes the steps of the foregoing method in combination with its hardware.

In another possible implementation manner, an embodiment of the present application further provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program. When the computer program is called and executed by the processor, the computer program Prompt the processor to implement the method described above.

In yet another possible implementation manner, corresponding to the physiological characteristic data analysis method in the sitting state provided in the foregoing implementation manner, an embodiment of the present application also provides a smart furniture that includes the implementation of the sitting posture provided in the foregoing implementation manner. An electronic device for analyzing physiological characteristics data under state.

It should be noted that the smart furniture here may include, but is not limited to, furniture such as sofas, chairs, beds, toilets, etc., on which the user can maintain a sitting posture.

The physiological characteristic data analysis device in the sitting state provided by the embodiment of the present application has the same technical features as the physiological characteristic data analysis method in the sitting state provided in the above embodiment, so it can also solve the same technical problems and achieve the same technology. effect.

The computer program product of the physiological characteristic data analysis method and device in the sitting state provided by the embodiments of the present application includes a computer-readable storage medium storing program codes, and the instructions included in the program codes can be configured to execute the foregoing method embodiments For the specific implementation of the method described in the above, please refer to the method embodiment, which will not be repeated here.

The smart furniture provided by the embodiment of the present application includes an electronic device that implements the physiological characteristic data analysis method in the sitting state provided in the above-mentioned implementation manner. For specific implementation, please refer to the method embodiment, which will not be repeated here.

Those skilled in the art can clearly understand that, for the convenience and conciseness of the description, the specific working process of the device described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In addition, in the description of the embodiments of the present application, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it may be a fixed connection or a detachable connection. , Or integrally connected; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication between two components. For those skilled in the art, the specific meaning of the above-mentioned terms in this application can be understood under specific circumstances.

If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, ReaD-Only Memory), random access memory (RAM, RanDom Access Memory), magnetic disks or optical disks and other media that can store program codes. .

In the description of this application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the application and simplifying the description, and does not indicate or imply that the pointed device or element must have a specific orientation or a specific orientation. The structure and operation cannot therefore be understood as a limitation of this application. In addition, the terms "first", "second", and "third" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance.

Finally, it should be noted that the above embodiments are only specific implementations of the application, which are used to illustrate the technical solutions of the application, not to limit it. The scope of protection of the application is not limited thereto, although referring to the foregoing embodiments This application has been described in detail, and those skilled in the art should understand that any person skilled in the art within the technical scope disclosed in this application can still modify the technical solutions described in the foregoing embodiments or can easily imagine Changes, or equivalent replacements of some of the technical features; and these modifications, changes or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should be covered by the scope of protection of this application Inside. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Industrial applicability

According to the method and device for analyzing physiological characteristic data in a sitting state provided in the present application, when the user is in a sitting state, the vibration data of the user is detected by a sensor; the detected vibration data is transmitted to the server for analysis And storage, and transmit the vital sign data returned by the server analysis to the mobile device for display; when the vital sign data exceeds a pre-set warning threshold, the server sends an early warning to the mobile device to achieve Remind users of abnormalities in time, and remind customers to consult the technical effects of medical treatment.

Claims

A method for analyzing physiological characteristic data in a sitting state, characterized in that the method includes the following steps:

When the user is in a sitting state, detecting the vibration data of the user through the sensor;

Transmitting the detected vibration data to a server for analysis and storage, and transmitting the vital sign data analyzed and returned by the server to a mobile device for display;

When the vital sign data exceeds a pre-set early warning threshold, an early warning is given to the mobile device through the server.
The method according to claim 1, wherein the method further comprises:

When the user is in a sitting state, detecting the pressure data of the user through the sensor;

The detected pressure data is transmitted to the server for analysis and storage, and the weight sign data returned by the server analysis is transmitted to the mobile device for display.
The method according to claim 2, wherein the method further comprises:

The vibration data and the pressure data of the same user at different time points are detected by the sensor, transmitted to the server for analysis and storage, and the vital sign data and the vital sign data returned by the server are analyzed and stored. The weight sign data is transmitted to a mobile device for display, and the vital sign data and changes in the weight sign data of the same user at the different time points are obtained.
The method according to claim 2, wherein the method further comprises:

Detect the vibration data and pressure data of different users through the sensor, transmit to the server for analysis and storage, and transmit the vital sign data and the weight sign data returned by the server analysis Display on a mobile device, obtain the vital sign data and the weight sign data of the different users, and use them to distinguish the different users.
The method according to claim 2, wherein the sensor includes a piezoresistive sensor and a piezoelectric sensor;

Detecting the pressure data by the piezoresistive sensor, and acquiring the weight sign data of the user;

The vibration data is detected by the piezoelectric sensor, and the vital sign data of the user is acquired.
The method according to claim 5, wherein the vital sign data includes strong vibration data and weak vibration data, wherein the strong vibration data includes body movement data, and the weak vibration data includes heart rate data and respiration data;

The step of detecting the vibration data by the piezoelectric sensor and acquiring the vital sign data of the user includes:

When the intensity of the vibration data of the user is higher than the preset vibration threshold, the user is in a strong vibration state, the vibration data is detected by the piezoelectric sensor, and the vital sign data is acquired The said body movement data;

When the intensity of the vibration data of the user is lower than the preset vibration threshold, the user is in a weak vibration state, the vibration data is detected by the piezoelectric sensor, and the vital sign data is acquired Of the heart rate data and the breathing data.
The method of claim 1, wherein the detected vibration data is transmitted to a server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to a mobile device for display The steps include:

Collecting the detected vibration data through a data collecting module;

The vibration data collected by the data collection module is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display.
The method according to claim 6, wherein the step of providing an early warning to the mobile device through the server when the vital sign data exceeds a preset warning threshold comprises:

When the vital sign data shows that the body movement data exceeds a preset body movement data warning threshold, the body movement data is abnormal, and an early warning is given to the mobile device through the server;

When the vital sign data shows that the heart rate data and/or the respiration data exceed the preset heart rate data and/or the respiration data warning threshold, the heart rate data and/or the respiration data is abnormal, Early warning is given to the mobile device through the server.
The method according to claim 6, wherein the method further comprises:

Acquiring the duration of the user in a strong vibration state and the duration of the user in a weak vibration state;

Taking the sum of the duration of the user in a strong vibration state and the duration of the user in a weak vibration state as the sitting duration of the user;

The sitting position time length is transmitted to the server for analysis and storage, and the sitting position time length analysis result returned by the server analysis is transmitted to the mobile device for display.
The method according to any one of claims 1-9, wherein the method further comprises:

When the user is in a sitting state, collecting the user's ECG signal data through the user's contact with the electrode of the ECG signal collecting device;

The ECG signal data is transmitted to the server for analysis and storage, and the ECG signal analysis result returned by the server analysis is transmitted to the mobile device for display.
The method according to claim 10, wherein the electrode comprises a dry electrode and/or a wet electrode.
The method according to claim 11, wherein if the electrode includes the dry electrode and the wet electrode, the step of sending the ECG signal data to the server for analysis comprises:

The ECG signal data collected by the wet electrode is sent to the server for analysis.
The method according to any one of claims 1-12, wherein the method further comprises:

When the user is in a sitting state, detecting the user's body temperature data through the sensor;

The detected body temperature data is transmitted to the server for analysis and storage, and the body temperature data analysis result returned by the server analysis is transmitted to the mobile device for display.
The method according to claim 13, wherein the sensor comprises a piezoelectric sensor and a body temperature detection sensor;

Detecting the vibration data by the piezoelectric sensor, and acquiring the vital sign data of the user;

The body temperature data is detected by the body temperature detection sensor, and the body temperature data of the user is acquired.
The method according to any one of claims 1-14, wherein the method further comprises:

When the user is in a sitting state, detecting the environmental data of the environment in which the user is located through the sensor;

The detected environmental data is transmitted to the server for analysis and storage, and the environmental data analysis result returned by the server analysis is transmitted to the mobile device for display.
The method according to claim 15, wherein the sensor includes a piezoelectric sensor and an environment detection sensor;

Detecting the vibration data by the piezoelectric sensor, and acquiring the vital sign data of the user;

The environment data is detected by the environment detection sensor, and the environment data of the environment where the user is located is acquired.
The method according to any one of claims 1-16, wherein the method further comprises:

Receive physical examination data transmitted by external testing equipment;

The physical examination data is transmitted to the server for analysis and storage, and the physical examination data analysis result returned by the server analysis is transmitted to the mobile device for display.
The method according to any one of claims 1-17, wherein the method further comprises:

Receive the first analysis result returned by the server and display the first analysis result, where the first analysis result data is obtained after the server analyzes the received detection data.
The method according to any one of claims 1-17, wherein the method further comprises:

The detection data is analyzed to obtain a second analysis result, and the second analysis result is displayed.
A physiological characteristic data analysis device in a sitting state, characterized in that the device comprises:

The data detection module is configured to detect the vibration data of the user through the sensor when the user is in a sitting state;

A vital sign data acquisition module, configured to transmit the detected vibration data to a server for analysis and storage, and transmit the vital sign data analyzed and returned by the server to a mobile device;

The early warning module is configured to give an early warning to the mobile device through the server when the vital sign data exceeds a preset early warning threshold.
The device according to claim 20, wherein the vital sign data acquisition module is configured to:

Collecting the detected vibration data through a data collecting module;

The vibration data collected by the data collection module is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display.
An electronic device, comprising a memory, a processor, and a sensor, the memory storing a computer program, wherein the processor implements the method according to any one of claims 1-19 when the processor executes the computer program .
A computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is called and executed by a processor, the computer program causes the processor to implement The method of any one of 1-19.
A smart furniture, characterized by comprising the electronic device according to claim 22.