CN110755086A - Physiological characteristic data analysis method and device in sitting posture state - Google Patents
Physiological characteristic data analysis method and device in sitting posture state Download PDFInfo
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- CN110755086A CN110755086A CN201911048393.2A CN201911048393A CN110755086A CN 110755086 A CN110755086 A CN 110755086A CN 201911048393 A CN201911048393 A CN 201911048393A CN 110755086 A CN110755086 A CN 110755086A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/1036—Measuring load distribution, e.g. podologic studies
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The invention provides a method and a device for analyzing physiological characteristic data in a sitting posture state, and relates to the technical field of data analysis. The method comprises the following steps: when a user is in a sitting posture state, detecting vibration data of the user through a sensor; transmitting the detected vibration data to a server for analysis and storage, and transmitting the vital sign data returned by the server for analysis to the mobile equipment for display; and when the vital sign data exceeds a preset early warning threshold value, early warning is carried out on the mobile equipment through the server. The method and the device for analyzing the physiological characteristic data in the sitting posture state can detect the vibration data of the user when the user is in the sitting posture state, transmit the vibration data to the server for analysis and storage, acquire the vital sign data returned by the server for analysis, and perform early warning when the vital sign data exceeds a preset early warning threshold value, so as to achieve the technical effects of timely reminding the user of abnormality and reminding the client to consult for medical treatment.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a method and a device for analyzing physiological characteristic data in a sitting posture state.
Background
At present, modern people often sit on toilets, sofas and chairs for a long time in the life and work process, which brings a series of health problems such as lumbar muscle strain, hemorrhoids and other diseases, however, the diseases are not easily sensed by people in the early stage of onset of disease, so that people cannot consult and seek medical treatment in time and treat the diseases, and the disease condition is aggravated.
Disclosure of Invention
In view of the above, the present invention provides a method and a device for analyzing physiological characteristic data in a sitting posture state to solve the technical problem that a doctor cannot be consulted in time to perform a treatment.
In a first aspect, an embodiment of the present invention provides a method for analyzing physiological characteristic data in a sitting posture, where the method includes the following steps:
when a user is in a sitting posture state, detecting vibration data of the user through a sensor;
transmitting the detected vibration data to a server for analysis and storage, and transmitting vital sign data returned by the server for analysis to mobile equipment for display;
and when the vital sign data exceeds a preset early warning threshold value, early warning is carried out on the mobile equipment through the server.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, wherein when a user is in a sitting posture, the pressure data of the user is detected by the sensor;
and transmitting the detected pressure data to the server for analysis and storage, and transmitting weight sign data returned by the server analysis to the mobile equipment for display.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the method further includes:
the vibration data and the pressure data of the same user at different time points are detected through the sensor, are transmitted to the server for analysis and storage, the vital sign data and the weight sign data which are analyzed and returned by the server are transmitted to the mobile equipment for display, and the change of the vital sign data and the weight sign data of the same user at different time points is obtained.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the method further includes:
the vibration data and the pressure data of different users are detected through the sensor, are transmitted to the server for analysis and storage, and are transmitted to the mobile equipment for display, so that the vital sign data and the weight sign data of different users are obtained and are used for distinguishing the different users.
With reference to the first possible implementation manner of the first aspect, the present invention provides a fourth possible implementation manner of the first aspect, wherein the sensor includes a piezoresistive sensor and a piezoelectric sensor;
detecting the pressure data through the piezoresistive sensor to obtain the weight sign data of the user;
and detecting the vibration data through the piezoelectric sensor to obtain the vital sign data of the user.
With reference to the fourth possible implementation manner of the first aspect, the present invention provides a fifth possible implementation manner of the first aspect, wherein the vital sign data includes strong vibration data and weak vibration data, where the strong 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 obtaining the vital sign data of the user comprises:
when the intensity of the vibration data of the user is higher than a preset vibration threshold value, the user is in a strong vibration state, the vibration data are detected through the piezoelectric sensor, and the body motion data in the vital sign data are obtained;
when the intensity of the vibration data of the user is lower than a preset vibration threshold value, the user is in a weak vibration state, the vibration data are detected through the piezoelectric sensor, and the heart rate data and the respiration data in the vital sign data are acquired.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the step of transmitting the detected vibration data to a server for analysis and storage, and transmitting the vital sign data returned by the server analysis to a mobile device for display includes:
collecting the detected vibration data through a data collection module;
the vibration data collected by the vibration data collecting module is transmitted to the server for analysis and storage through the data collecting module, and the vital sign data analyzed and returned by the server is transmitted to the mobile equipment for display.
With reference to the fourth possible implementation manner of the first aspect, an embodiment of the present invention provides a seventh possible implementation manner of the first aspect, where the step of performing an early warning to the mobile device through the server when the vital sign data exceeds a preset early warning threshold includes:
when the vital sign data show that the body movement data exceed a preset body movement data early warning threshold value, the body movement data are abnormal, and early warning is carried out on the mobile equipment through a server;
when the vital sign data shows that the heart rate data and/or the respiration data exceed a preset heart rate data and/or respiration data early warning threshold value, the heart rate data and/or the respiration data are abnormal, and early warning is carried out on the mobile equipment through a server.
In a second aspect, an embodiment of the present invention further provides an apparatus for analyzing physiological characteristic data in a sitting posture, where the apparatus includes:
the data detection module is used for detecting the vibration data of the user through a sensor when the user is in a sitting posture state;
the vital sign data acquisition module is used for 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 the mobile equipment;
and the early warning module is used for early warning the mobile equipment through the server when the vital sign data exceeds a preset early warning threshold value.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the vital sign data acquisition module is configured to:
collecting the detected vibration data through a data collection module;
the vibration data collected by the vibration data collecting module is transmitted to the server for analysis and storage through the data collecting module, and the vital sign data analyzed and returned by the server is transmitted to the mobile equipment for display.
In a third aspect, an embodiment of the present invention further provides a server, where the server includes: a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method described above.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the method described above.
The embodiment of the invention has the following beneficial effects: according to the method and the device for analyzing the physiological characteristic data in the sitting posture state, when a user is in the sitting posture state, the vibration data of the user are detected through the sensor and are transmitted to the server to be analyzed and stored, the vital sign data analyzed and returned by the server are transmitted to the mobile equipment to be displayed, whether the vital sign data exceed a preset early warning threshold value or not is judged, and early warning is conducted on the mobile equipment through the server when the vital sign data exceed the preset early warning threshold value. The method and the device for analyzing the physiological characteristic data in the sitting posture state can detect the vibration data of the user when the user is in the sitting posture state, transmit the vibration data to the server for analysis and storage, acquire the vital sign data returned by the server for analysis, and perform early warning when the vital sign data exceeds a preset early warning threshold value, so as to achieve the technical effects of timely reminding the user of abnormality and reminding the client to consult for medical treatment.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for analyzing physiological characteristic data in a sitting posture according to an embodiment of the present invention;
fig. 2 is a flowchart of another method for analyzing physiological characteristic data in a sitting posture according to an embodiment of the present invention;
fig. 3 is a block diagram of a physiological characteristic data analysis apparatus in a sitting posture according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Nowadays, modern people often sit on toilets, sofas and chairs for a long time in the life and work process, which brings a series of health problems such as lumbar muscle strain, hemorrhoids and other diseases, however, the diseases are not easily sensed by people in the early stage of onset of disease, so that people cannot consult medical services and treat the diseases in time, and the disease condition is aggravated. Accordingly, embodiments of the present invention provide a method and an apparatus for analyzing physiological characteristic data in a sitting posture state to alleviate the above-mentioned problems.
To facilitate understanding of the present embodiment, a method for analyzing physiological characteristic data in a sitting posture disclosed in the embodiments of the present invention is first described in detail.
In one possible embodiment, the invention provides a method for analyzing physiological characteristic data in a sitting posture. Fig. 1 is a flowchart of a method for analyzing physiological characteristic data in a sitting posture according to an embodiment of the present invention, the method including the following steps:
step S102: when a user is in a sitting posture state, vibration data of the user is detected through a sensor.
Step S104: and 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.
Step S106: and when the vital sign data exceeds a preset early warning threshold value, early warning is carried out on the mobile equipment through the server.
The mobile device may also be replaced by a computer, a screen, or other devices with a display function, and the specific type of the devices with the display function is not limited in the embodiments of the present invention.
It should be noted that, the vital sign data returned from the server analysis may be directed to only one device, or may be directed to a plurality of devices at the same time.
It should be further noted that the method for analyzing the physiological characteristic data in the sitting posture according to the embodiment of the present invention is a method performed in a no-load state, wherein no-load means that the measurement process is not sensed and does not require any user habit change or any operation.
The embodiment of the invention has the following beneficial effects: according to the method for analyzing the physiological characteristic data in the sitting posture state, when a user is in the sitting posture state, the vibration data of the user are detected through the sensor and transmitted to the server to be analyzed and stored, the vital sign data analyzed and returned by the server are transmitted to the mobile equipment to be displayed, whether the vital sign data exceed a preset early warning threshold value or not is judged, and early warning is conducted on the mobile equipment through the server when the vital sign data exceed the preset early warning threshold value. The method and the device for analyzing the physiological characteristic data in the sitting posture state can detect the vibration data of the user when the user is in the sitting posture state, transmit the vibration data to the server for analysis and storage, acquire the vital sign data returned by the server for analysis, and perform early warning when the vital sign data exceeds a preset early warning threshold value, so as to achieve the technical effects of timely reminding the user of abnormality and reminding the client to consult for medical treatment.
The method for analyzing the physiological characteristic data in the sitting posture provided by the embodiment of the invention not only can detect the vibration data of the user in the sitting posture, but also can detect the pressure data of the user in the sitting posture to acquire the weight and physical sign data of the user, and comprises the following specific steps:
when a user is in a sitting posture state, detecting pressure data of the user through the sensor;
and transmitting the detected pressure data to the server for analysis and storage, and transmitting weight sign data returned by the server analysis to the mobile equipment for display.
It should be further noted that, in the embodiment of the present invention, the vibration data and the pressure data of the user in the sitting posture state are detected by the sensor mounted on the object such as the seat, the toilet, the sofa, the chair, etc., and the present invention can be applied to the scenes such as the home, the hospital, the nursing home, etc., wherein the object may have other forms besides the toilet, the sofa, the chair, etc., and the present invention is not limited thereto.
In the process of detecting the vibration data and the pressure data of the user in the sitting posture by using the method for analyzing the physiological characteristic data in the sitting posture provided by the embodiment of the invention, the vibration data and the pressure data of the same user at different time points and the vibration data and the pressure data of different users can be respectively detected and analyzed so as to be respectively used for acquiring the change of the vibration data and the pressure data of the same user at different time points and distinguishing different users.
Specifically, the vibration data and the pressure data of the same user at different time points are detected through the sensor, transmitted to the server for analysis and storage, and the vital sign data and the weight sign data which are analyzed and returned by the server are transmitted to the mobile device for display, so that the changes of the vital sign data and the weight sign data of the same user at the different time points are obtained.
When the vibration data and the pressure data of the same user at different time points are detected in a home environment, the changes of the vital sign data and the weight sign data of the same user at different time points are obtained.
Further, the vibration data and the pressure data of different users are detected through the sensor, are transmitted to the server for analysis and storage, and are transmitted to the mobile device for display, so that the vital sign data and the weight sign data of different users are obtained and are used for distinguishing the different users.
When the vibration data and the pressure data of different users are detected in a public environment, the vital sign data and the weight sign data of different users are obtained to distinguish different users.
In the embodiment of the present invention, in the process of detecting the vibration data and the pressure data of the user by the sensors, data detection is performed by different types of sensors, and the specific process is as follows:
wherein the sensor comprises a piezoresistive sensor and a piezoelectric sensor;
detecting the pressure data through the piezoresistive sensor to obtain the weight sign data of the user;
and detecting the vibration data through the piezoelectric sensor to obtain the vital sign data of the user.
It should be further noted that the above sensors may be embedded in the seat cushion or toilet seat of the toilet, or on the legs of a chair, sofa, etc. to detect pressure data and vibration data of the user.
Further, the step of detecting the vibration data by the piezoelectric sensor to obtain the vital sign data of the user is implemented by the following two cases:
when the intensity of the vibration data of the user is higher than a preset vibration threshold value, the user is in a strong vibration state, the vibration data are detected through the piezoelectric sensor, and the body motion data in the vital sign data are obtained;
when the intensity of the vibration data of the user is lower than a preset vibration threshold value, the user is in a weak vibration state, the vibration data are detected through the piezoelectric sensor, and the heart rate data and the respiration data in the vital sign data are acquired.
It should be noted that, in addition to detecting and analyzing the weight data, the body movement data, the heart rate data and the breathing data of the user, the method of the embodiment of the present invention may also detect and analyze a sitting time of the user, which is a sum of the time when the user is in the strong vibration state and the weak vibration state, and this is not limited by the embodiment of the present invention.
Wherein the vital sign data comprises strong vibration data and weak vibration data, wherein the strong vibration data comprises the body movement data, and the weak vibration data comprises the heart rate data and the respiration data.
In addition, it should be further noted that when the body movement is small, the strong vibration data is not detected, and only the weak vibration data can be detected; when the body motion is large, the strong vibration data annihilates the weak vibration data, so that only the 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 for analysis to the mobile device for display, a process of collecting the vibration data by the data collection module and transmitting the collected vibration data to the server and the mobile device needs to be performed, so for more detailed description of the above process, an embodiment of the present invention is shown in fig. 2 as a flowchart of another physiological characteristic data analysis method in a sitting posture state, which is provided by the embodiment of the present invention, and the method includes the following steps:
step S202: when a user is in a sitting posture state, vibration data of the user is detected through a sensor.
Step S204: and collecting the detected vibration data through a data collection module.
Step S206: the vibration data collected by the vibration data collecting module is transmitted to the server for analysis and storage through the data collecting module, and the vital sign data analyzed and returned by the server is transmitted to the mobile equipment for display.
The server analyzes the returned vital sign data, transmits the data to the mobile equipment in a wireless mode through a WeChat applet, an application program and the like for display, and can also feed back the data to the mobile equipment in a mode of sending short messages, making calls and the like.
Step S208: and when the vital sign data exceeds a preset early warning threshold value, early warning is carried out on the mobile equipment through the server.
The method comprises the following steps of corresponding to strong vibration data and weak vibration data included by the vital sign data, wherein the strong vibration data includes body movement data, the weak vibration data includes heart rate data and respiration data, and when the vital sign data exceeds a preset early warning threshold value, the server carries out early warning on the mobile device according to the following two conditions:
when the vital sign data show that the body movement data exceed a preset body movement data early warning threshold value, the body movement data are abnormal, and early warning is carried out on the mobile equipment through a server;
when the vital sign data shows that the heart rate data and/or the respiration data exceed a preset heart rate data and/or respiration data early warning threshold value, the heart rate data and/or the respiration data are abnormal, and early warning is carried out on the mobile equipment through a server.
In summary, according to the method for analyzing physiological characteristic data in a sitting posture state, when a user is in the sitting posture state, the vibration data of the user is detected through the sensor and transmitted to the server for analysis and storage, the vital sign data analyzed and returned by the server is transmitted to the mobile device for display, whether the vital sign data exceeds a preset early warning threshold value or not is judged, and when the vital sign data exceeds the preset early warning threshold value, early warning is performed on the mobile device through the server. The method and the device for analyzing the physiological characteristic data in the sitting posture state can detect the vibration data of the user when the user is in the sitting posture state, transmit the vibration data to the server for analysis and storage, acquire the vital sign data returned by the server for analysis, and perform early warning when the vital sign data exceeds a preset early warning threshold value, so as to achieve the technical effects of timely reminding the user of abnormality and reminding the client to consult for medical treatment.
In another possible implementation manner, corresponding to the method for analyzing physiological characteristic data in a sitting posture provided in the foregoing implementation manner, an embodiment of the present invention further provides a device for analyzing physiological characteristic data in a sitting posture, and fig. 3 is a block diagram of a structure of the device for analyzing physiological characteristic data in a sitting posture provided in the implementation manner of the present invention. As shown in fig. 3, the apparatus includes:
the data detection module 301 is configured to detect vibration data of a user through a sensor when the user is in a sitting posture state;
a vital sign data acquisition module 302, configured to transmit the detected vibration data to a server for analysis and storage, and transmit vital sign data returned by the server analysis to a mobile device for display;
the early warning module 303 is configured to perform early warning on the mobile device through the server when the vital sign data exceeds a preset early warning threshold.
In practical use, the vital sign data acquisition module 302 is configured to:
collecting the detected vibration data through a data collection module;
the vibration data collected by the vibration data collecting module is transmitted to the server for analysis and storage through the data collecting module, and the vital sign data analyzed and returned by the server is transmitted to the mobile equipment for display.
In yet another possible implementation manner, an embodiment of the present invention further provides a server, and fig. 4 shows a schematic structural diagram of the server provided in the embodiment of the present invention, and referring to fig. 4, the server includes: a processor 400, a memory 401, a data bus 402 and a communication interface 403, wherein the processor 400, the memory 401, the communication interface 403 are connected through the data bus 402; the processor 400 is used to execute executable modules, such as computer programs, stored in the memory 401.
Wherein the memory 401 stores computer-executable instructions that can be executed by the processor 400, the processor 400 executes the computer-executable instructions to implement the methods described above.
Further, the memory 401 may include a high-speed Random Access Memory (RAM) 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, and the like can be used.
The data bus 402 may be an ISA data bus, a PCI data bus, or an EISA data bus, among others. The data bus may be divided into an address data bus, a data bus, a control data bus, etc. For ease of illustration, only one double-headed arrow is shown in fig. 4, but this does not indicate only one data bus or one type of data bus.
The memory 401 is used for storing a program, and the processor 400 executes the program after receiving a program execution instruction, and the method for analyzing physiological characteristic data in a sitting posture disclosed in any embodiment of the invention can be applied to the processor 400, or implemented by the processor 400.
Further, processor 400 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 400. The Processor 400 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. 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 method in combination with the hardware.
In yet another possible implementation, the embodiment of the present invention further provides a computer-readable storage medium storing computer-executable instructions, which, when invoked and executed by a processor, cause the processor to implement the method described above.
The device for analyzing physiological characteristic data in a sitting posture provided by the embodiment of the invention has the same technical characteristics as the method for analyzing physiological characteristic data in a sitting posture provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The computer program product of the method and the device for analyzing physiological characteristic data in a sitting posture provided by the embodiment of the invention comprises a computer readable storage medium storing program codes, wherein instructions included in the program codes can be used for executing the method described in the previous method embodiment, and specific implementation can be seen in the method embodiment, and is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases for those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a ReaD-Only Memory (ROM), a RanDom Access Memory (RAM), a magnetic disk, or an optical disk.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that the following embodiments are merely illustrative of the present invention, and not restrictive, and the scope of the present invention is not limited thereto: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for analyzing physiological characteristic data in a sitting posture, the method comprising the steps of:
when a user is in a sitting posture state, detecting vibration data of the user through a sensor;
transmitting the detected vibration data to a server for analysis and storage, and transmitting vital sign data returned by the server for analysis to mobile equipment for display;
and when the vital sign data exceeds a preset early warning threshold value, early warning is carried out on the mobile equipment through the server.
2. The method of claim 1, further comprising:
when a user is in a sitting posture state, detecting pressure data of the user through the sensor;
and transmitting the detected pressure data to the server for analysis and storage, and transmitting weight sign data returned by the server analysis to the mobile equipment for display.
3. The method of claim 2, further comprising:
the vibration data and the pressure data of the same user at different time points are detected through the sensor, are transmitted to the server for analysis and storage, the vital sign data and the weight sign data which are analyzed and returned by the server are transmitted to the mobile equipment for display, and the change of the vital sign data and the weight sign data of the same user at different time points is obtained.
4. The method of claim 2, further comprising:
the vibration data and the pressure data of different users are detected through the sensor, are transmitted to the server for analysis and storage, and are transmitted to the mobile equipment for display, so that the vital sign data and the weight sign data of different users are obtained and are used for distinguishing the different users.
5. The method of claim 2, wherein the sensor comprises a piezoresistive sensor and a piezoelectric sensor;
detecting the pressure data through the piezoresistive sensor to obtain the weight sign data of the user;
and detecting the vibration data through the piezoelectric sensor to obtain the vital sign data of the user.
6. The method of claim 5, wherein the vital sign data comprises strong vibration data and weak vibration data, wherein the strong vibration data comprises body movement data and the weak vibration data comprises heart rate data and respiration data;
the step of detecting the vibration data by the piezoelectric sensor and obtaining the vital sign data of the user comprises:
when the intensity of the vibration data of the user is higher than a preset vibration threshold value, the user is in a strong vibration state, the vibration data are detected through the piezoelectric sensor, and the body motion data in the vital sign data are obtained;
when the intensity of the vibration data of the user is lower than a preset vibration threshold value, the user is in a weak vibration state, the vibration data are detected through the piezoelectric sensor, and the heart rate data and the respiration data in the vital sign data are acquired.
7. The method of claim 1, wherein the step of transmitting the detected vibration data to a server for analysis and storage, and transmitting the vital sign data returned from the server analysis to a mobile device for display comprises:
collecting the detected vibration data through a data collection module;
the vibration data collected by the vibration data collecting module is transmitted to the server for analysis and storage through the data collecting module, and the vital sign data analyzed and returned by the server is transmitted to the mobile equipment for display.
8. The method according to claim 6, wherein the step of performing the warning to the mobile device through the server when the vital sign data exceeds a preset warning threshold value comprises:
when the vital sign data show that the body movement data exceed a preset body movement data early warning threshold value, the body movement data are abnormal, and early warning is carried out on the mobile equipment through a server;
when the vital sign data shows that the heart rate data and/or the respiration data exceed a preset heart rate data and/or respiration data early warning threshold value, the heart rate data and/or the respiration data are abnormal, and early warning is carried out on the mobile equipment through the server.
9. An apparatus for analyzing physiological characteristic data in a sitting posture, the apparatus comprising:
the data detection module is used for detecting the vibration data of the user through a sensor when the user is in a sitting posture state;
the vital sign data acquisition module is used for 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 the mobile equipment;
and the early warning module is used for early warning the mobile equipment through the server when the vital sign data exceeds a preset early warning threshold value.
10. The apparatus of claim 9, wherein the vital signs data acquisition module is configured to:
collecting the detected vibration data through a data collection module;
the vibration data collected by the vibration data collecting module is transmitted to the server for analysis and storage through the data collecting module, and the vital sign data analyzed and returned by the server is transmitted to the mobile equipment for display.
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| CN201911048393.2A CN110755086A (en) | 2019-10-29 | 2019-10-29 | Physiological characteristic data analysis method and device in sitting posture state |
| PCT/CN2020/123941 WO2021083136A1 (en) | 2019-10-29 | 2020-10-27 | Physiological characteristic data analysis method and apparatus in sitting posture state |
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| CN201911048393.2A CN110755086A (en) | 2019-10-29 | 2019-10-29 | Physiological characteristic data analysis method and device in sitting posture state |
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