CN112386239A - Detection method, sending end, cloud end and computer readable storage medium - Google Patents
Detection method, sending end, cloud end and computer readable storage medium Download PDFInfo
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- 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
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- 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
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- 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02405—Determining heart rate variability
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
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Abstract
The invention discloses a detection method, which is used for a sending end; the health detection method comprises the following steps: receiving a detection instruction of a target user; acquiring target body health data of the target user based on the detection instruction; sending the target body health data to a cloud end, so that the cloud end obtains a detection result of the target body health data based on the target body health data and a preset body health detection rule, and sending the detection result to the sending end; and outputting the detection result when receiving the detection result sent by the cloud. The invention also discloses a sending end, a cloud end and a computer readable storage medium. By adopting the detection method, the health detection time is saved, and the health detection efficiency is higher.
Description
Technical Field
The invention relates to the field of body health detection, in particular to a detection method, a sending end, a cloud end and a computer readable storage medium.
Background
With the development of economy, the living standard of materials is continuously improved, the health level and the health requirement of residents are synchronously improved, but the sub-health problem is increasingly prominent and becomes a long-term trouble for most people. With the background of increasing health concerns, awareness of people to improve health is strong.
The user usually needs to go to a hospital for health detection, and a doctor obtains a detection conclusion according to the detection result. However, the user needs to go to the hospital frequently for health detection, and the efficiency of the health detection is low.
Disclosure of Invention
The invention mainly aims to provide a detection method, a sending end, a cloud end and a computer readable storage medium, and aims to solve the technical problems that in the prior art, a user needs to frequently go to a hospital for health detection, and the health detection efficiency is low.
In order to achieve the above object, the present invention provides a detection method for a transmitting end; the health detection method comprises the following steps:
receiving a detection instruction of a target user;
acquiring target body health data of the target user based on the detection instruction;
sending the target body health data to a cloud end, so that the cloud end obtains a detection result of the target body health data based on the target body health data and a preset body health detection rule, and sending the detection result to the sending end;
and outputting the detection result when receiving the detection result sent by the cloud.
Optionally, the sending end stores local account information and a local history detection record corresponding to the local account information; before the step of obtaining the target body health data of the target user based on the detection instruction, the method further includes:
receiving first target account information sent by the target user;
judging whether a local history detection record corresponding to the first target account information exists in the local history detection record or not;
the step of obtaining target body health data of the target user based on the detection instruction comprises:
and when the local historical detection record corresponding to the first target account information does not exist in the local historical detection record, acquiring target body health data of the target user based on the detection instruction.
Optionally, the sending end further stores local historical physical health data corresponding to the local historical detection record and a local historical detection result corresponding to the local historical physical health data; after the step of determining whether the local history detection record corresponding to the first target account information exists in the local history detection record, the method includes:
when a local history detection record corresponding to the first target account information exists in the local history detection records, determining the local history detection record corresponding to the first target account information in the local history detection records as a selected local history detection record;
determining local historical physical health data corresponding to the selected local historical detection record as selected local historical physical health data;
determining a local historical detection result corresponding to the selected local historical physical health data as a selected local historical detection result;
and outputting the selected local historical detection result.
In addition, in order to achieve the purpose, the invention also provides a detection method which is used for the cloud; the health detection method comprises the following steps:
receiving target body health data sent by a sending end, wherein the target body health data is obtained from a target user based on a received detection instruction sent by the target user;
obtaining a detection result of the target body health data based on the target body health data and a preset body health detection rule;
and sending the detection result to the sending end so that the sending end outputs the detection result.
Optionally, the cloud end stores cloud end account information and cloud end historical body health data corresponding to the cloud end account information; before the step of obtaining the detection result of the target body health data based on the target body health data and the preset body health detection rule, the method further includes:
receiving second target account information sent by the sending end, wherein the second target account information is sent by the target user;
judging whether cloud account information corresponding to the second target account information exists in the cloud account information or not;
the step of obtaining the detection result of the target body health data based on the target body health data and a preset body health detection rule comprises:
when the cloud account information corresponding to the second target account information exists in the cloud account information, determining the cloud account information corresponding to the second target account information in the cloud account information as selected cloud account information;
determining cloud historical body health data corresponding to the selected cloud account information as selected cloud historical body health data;
and obtaining a detection result based on the selected cloud historical body health data, the target body health data and a preset body health detection rule.
Optionally, before the step of sending the detection result to the sending end to enable the sending end to output the detection result, the method further includes:
judging whether the detection result meets a preset condition or not;
generating abnormal information when the detection result does not meet the preset condition;
the step of sending the detection result to the sending end so that the sending end outputs the detection result comprises:
and sending the detection result and the abnormal information to the sending end so that the sending end outputs the detection result and the abnormal information.
Optionally, the cloud is connected with a receiving end, and the receiving end and the transmitting end have a binding relationship; after the step of sending the detection result and the abnormal information to the sending end so that the sending end outputs the detection result and the abnormal information, the method further comprises:
and sending the detection result and the abnormal information to the receiving end so that the receiving end outputs the detection result and the abnormal information.
In addition, in order to achieve the above purpose, the invention also provides a detection device, which is used for the sending end; the device comprises:
the first receiving module is used for receiving a detection instruction of a target user;
the acquisition module is used for acquiring target body health data of the target user based on the detection instruction;
the first sending module is used for sending the target body health data to a cloud end so that the cloud end obtains a detection result of the target body health data based on the target body health data and a preset body health detection rule and sends the detection result to the sending end;
and the output module is used for outputting the detection result when receiving the detection result sent by the cloud end.
In addition, in order to achieve the purpose, the invention also provides a detection method which is used for the cloud; the device comprises:
the second receiving module is used for receiving target body health data sent by the sending end, wherein the target body health data are obtained from a target user based on a received detection instruction sent by the target user;
the obtaining module is used for obtaining a detection result of the target body health data based on the target body health data and a preset body health detection rule;
and the second sending module is used for sending the detection result to the sending end so that the sending end outputs the detection result.
In addition, to achieve the above object, the present invention further provides a transmitting end, where the transmitting end includes: a memory, a processor and a detection program stored on the memory and running on the processor, the detection program when executed by the processor implementing the steps of the detection method as claimed in any one of the above.
In addition, to achieve the above object, the present invention further provides a cloud, including: a memory, a processor and a detection program stored on the memory and running on the processor, the detection program when executed by the processor implementing the steps of the detection method as claimed in any one of the above.
Furthermore, to achieve the above object, the present invention also proposes a computer-readable storage medium having a detection program stored thereon, which when executed by a processor implements the steps of the detection method according to any one of the above.
The technical scheme of the invention provides a detection method, which is used for a sending end and receives a detection instruction of a target user; acquiring target body health data of the target user based on the detection instruction; sending the target body health data to a cloud end, so that the cloud end obtains a detection result of the target body health data based on the target body health data and a preset body health detection rule, and sending the detection result to the sending end; and outputting the detection result when receiving the detection result sent by the cloud. The sending end sends the target body health data so that the cloud end obtains the detection result based on the target body health data and the preset body health detection rule, the detection result is sent to the sending end, and the sending end directly outputs the detection result without the need of a user going to a hospital for health detection to obtain the detection result.
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, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic diagram of a transmitting end structure of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a cloud structure of a hardware operating environment according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a first embodiment of the detection method of the present invention;
FIG. 4 is a schematic flow chart of a second embodiment of the detection method of the present invention;
FIG. 5 is a block diagram of the first embodiment of the detecting device of the present invention;
FIG. 6 is a block diagram of a second embodiment of the detecting device of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, fig. 1 is a schematic diagram of a transmitting end structure of a hardware operating environment according to an embodiment of the present invention.
The transmitting end may be a User Equipment (UE) such as a Mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), a handheld device, a vehicle-mounted device, a wearable device, a computing device or other processing device connected to a wireless modem, a Mobile Station (MS), or the like. The transmitting end may be referred to as a user terminal, a portable terminal, a desktop terminal, etc.
In general, a transmitting end includes: at least one processor 301, a memory 302 and a detection program stored on said memory and executable on said processor, said detection program being configured to implement the steps of the detection method as described before.
The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 301 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. Processor 301 may also include an AI (Artificial Intelligence) processor for processing relevant detection method operations such that the detection method model may be trained autonomously, improving efficiency and accuracy.
In some embodiments, the terminal may further include: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected by a bus or signal lines. Various peripheral devices may be connected to communication interface 303 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, a display screen 305, and a power source 306.
The communication interface 303 may be used to connect at least one peripheral device related to I/O (Input/Output) to the processor 301 and the memory 302. In some embodiments, processor 301, memory 302, and communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302 and the communication interface 303 may be implemented on a single chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 304 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 304 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 304 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 304 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 305 is a touch display screen, the display screen 305 also has the ability to capture touch signals on or over the surface of the display screen 305. The touch signal may be input to the processor 301 as a control signal for processing. At this point, the display screen 305 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 305 may be one, the front panel of the electronic device; in other embodiments, the display screens 305 may be at least two, respectively disposed on different surfaces of the electronic device or in a folded design; in still other embodiments, the display screen 305 may be a flexible display screen disposed on a curved surface or a folded surface of the electronic device. Even further, the display screen 305 may be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The Display screen 305 may be made of LCD (liquid crystal Display), OLED (Organic Light-Emitting Diode), and the like.
The power supply 306 is used to power various components in the electronic device. The power source 306 may be alternating current, direct current, disposable or rechargeable. When the power source 306 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology. Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the detection method apparatus and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
Referring to fig. 2, fig. 1 is a schematic diagram of a cloud structure of a hardware operating environment according to an embodiment of the present invention.
The cloud includes a Central Processing Unit (CPU)401, a system memory 404 including a Random Access Memory (RAM)402 and a Read Only Memory (ROM)403, and a system bus 405 connecting the system memory 404 and the central processing unit 401. The cloud also includes a basic input/output system (I/O system) 406, which facilitates the transfer of information between devices within the computer, and a mass storage device 407, which stores an operating system 413, application programs 414, and other program modules 415.
The basic input/output system 406 includes a display 408 for displaying information and an input device 409 such as a mouse, keyboard, etc. for user input of information. Wherein the display 408 and the input device 409 are connected to the central processing unit 401 through an input output controller 410 connected to the system bus 405. The basic input/output system 406 may also include an input/output controller 410 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input/output controller 410 may also provide output to a display screen, a printer, or other type of output device.
The mass storage device 407 is connected to the central processing unit 401 through a mass storage controller connected to the system bus 405. The mass storage device 407 and its associated computer-readable media provide non-volatile storage for the cloud. That is, the mass storage device 407 may include a computer-readable medium such as a hard disk or CD-ROM drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing.
The system memory 404 and mass storage device 407 described above may be collectively referred to as memory. According to various embodiments of the present application, the cloud may also operate via a remote computer connected to a network via a network, such as the internet. That is, the cloud end can be connected to the network 412 through the network interface unit 411 connected to the system bus 405, or can be connected to other types of networks or remote computer systems through the network interface unit 411.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a detection program is stored, and when the detection program is executed by a processor, the steps of the detection method are implemented as described above. Therefore, a detailed description thereof will be omitted. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in embodiments of the computer-readable storage medium referred to in the present application, reference is made to the description of embodiments of the method of the present application. Determining as an example, the program instructions may be deployed to execute on one sender and one cloud, or on multiple senders and multiple clouds located at one site, or distributed across multiple sites and interconnected by a communication network.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The computer-readable storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Based on the hardware structure, the embodiment of the detection method is provided.
Referring to fig. 3, fig. 3 is a schematic flowchart of a first embodiment of a detection method according to the present invention, where the method is used at a transmitting end, and includes the following steps:
step S11: and receiving a detection instruction of the target user.
It should be noted that the execution main body of the present invention is a sending end, and the sending end may be any one of the sending ends, and the structure is not described again; generally, for the purpose of health detection, a sending end is provided with an intelligent detection chip; meanwhile, in order to realize portability and convenience of the sending end, the sending end can be a remote controller, for example, an intelligent television remote controller or an intelligent air conditioner remote controller. The sending end is provided with a detection button, and a user sends a detection instruction by clicking the detection button. It is to be understood that the sender may be a sender installed with an app or applet, and the virtual button may be a virtual button in the app or applet of the sender.
In specific application, a target user is a user to be detected, generally, in order to realize a better function, the user needs to have a small program or app at a sending end, the user fills in personal information (which may include a real name, an identity card number, a height, a weight, an age and the like, wherein the validity of the name and the identity card needs to be guaranteed in order to realize the safety and the validity of detection) through the small program or app to register, and obtains corresponding account information, the account information includes the above-mentioned various information, and the account information is called as a keyword-an account name by a user name. After the user registers, the detection may be performed, for example, by sending a detection instruction. Or, after the user clicks the detection instruction, the user registers, and sends the detection instruction after the registration is completed without clicking the detection instruction sending key.
In another embodiment, the sending end may be an independent system structure in which the detecting end (only used for sending the detection command) and the control end are connected, for example, a system structure in which a remote controller equipped with an intelligent detection chip is connected with a smart phone, and the connection mode may be bluetooth, a wireless network, and the like.
Step S12: and acquiring target body health data of the target user based on the detection instruction.
When receiving the detection instruction, trigger the function of the intelligent detection chip of the sending end promptly, detect target user's target health data, health data can include: blood oxygen, blood pressure, heart rate, blood oxygen saturation, microcirculation, heart rate variability, arrhythmia, respiratory rate, fatigue status, etc.
Further, the sending end stores local account information and a local history detection record corresponding to the local account information; before step S12, the method further includes: receiving first target account information sent by the target user; and judging whether a local history detection record corresponding to the first target account information exists in the local history detection record. Accordingly, step S12 includes: and when the local historical detection record corresponding to the first target account information does not exist in the local historical detection record, acquiring target body health data of the target user based on the detection instruction.
Generally, after a user registers in the above manner, since a sending end may be a sending end common to a plurality of users, each time the user performs detection by using the sending end, login authentication of account information (the login authentication may be a password, a fingerprint, or face information using a combination of numbers and letters) is required, and then the detection is performed. That is, the target user usually sends the first target account information for login authentication, and then sends the detection instruction.
After the user uses the sending end for detection for multiple times, the sending end stores account information (the account information and content included in the account information) of the user, that is, local account information and a local history detection record corresponding to the local account information. Generally, the local account information includes local account information corresponding to a plurality of different users; each local account information may correspond to a plurality of local historical test records.
It can be understood that when a local history detection record corresponding to the first target account information does not exist in the local history detection records, that is, the target user performs detection by using the sending end for the first time, the sending end does not store any history detection record, and it is necessary to acquire the target body health data for detection.
In specific application, the first target account information is directly searched in the local account information stored at the sending end, the same local account information is found to exist, the same local account information is not found to exist, generally, the keyword of the account information is the account name which is the real name of the user, and the account name is used for searching.
In another embodiment, when a plurality of users share one sender, the account information may include the user's category: guest class and host class; generally, when a user is a tourist class, the frequency of the user using the transmitting end is extremely low, the transmitting end saves space, and the account information of the user and a historical detection record corresponding to the account information do not need to be stored, namely, the user corresponding to the tourist does not have the local historical detection record corresponding to the local account information and the local account information in the transmitting end, the detection is directly carried out each time, and a judgment step is not needed.
Specifically, when a sending end is a system structure that a remote controller provided with an intelligent detection chip is connected with a smart phone, a target user sends first target account information through the smart phone, the sending end receives the first account information to judge whether a local historical detection record exists, if not, a detection control instruction is sent when a detection instruction triggered by the remote controller is received, so that the remote controller can detect the first target account information, and the detected body health data can be obtained from the remote controller. That is, the user needs to hold the detection area of the remote controller for detection, and at this time, the mobile phone may output the detection area in a graphic manner. It can be understood that, when the sender is a single device, that is, the sender itself implements the above steps and outputs the sender's own detection area.
Further, the sending end also stores local historical body health data corresponding to the local historical detection records and local historical detection results corresponding to the local historical body health data; after the step of determining whether the local history detection record corresponding to the first target account information exists in the local history detection record, the method includes: when a local history detection record corresponding to the first target account information exists in the local history detection records, determining the local history detection record corresponding to the first target account information in the local history detection records as a selected local history detection record; determining local historical physical health data corresponding to the selected local historical detection record as selected local historical physical health data; determining a local historical detection result corresponding to the selected local historical physical health data as a selected local historical detection result; and outputting the selected local historical detection result.
It should be noted that, when a local history detection record corresponding to the first target account information exists in the local history detection record, the corresponding local account information may be found through the account name in the first target account information, that is, the selected local account information, and the local history detection record corresponding to the selected local account information is determined as the selected local history detection record; determining local historical physical health data corresponding to the selected local historical detection record as selected local historical physical health data; determining a local historical detection result corresponding to the selected local historical physical health data as a selected local historical detection result; and outputting the selected local historical detection result. At this time, detection is not needed, and the detection result is not needed to be received from the cloud, namely, the selected local historical detection result stored locally is obtained and output. The detection efficiency is improved.
It can be understood that, in another embodiment, a limiting condition may be further set, and when a difference between a time of selecting a last local history detection record corresponding to the local account information and a time of receiving the detection instruction does not exceed a preset time, it is determined that the local history detection record exists; if the time difference between the last local historical detection record and the received detection instruction exceeds the preset time, determining that no local historical detection record exists; the preset duration can be set by a user according to needs, and the invention is not limited, for example, users of different ages correspond to different preset durations, the preset duration of the old is shorter, the preset duration of the young is longer, and the like. Generally, the time length does not exceed the preset time length, namely the effectiveness and the accuracy of the last local historical detection record are good, the local historical detection record can be directly used, for example, the difference between the yesterday detection result and the today detection result is usually not very large, when the detection is carried out today, new detection result acquisition is not needed, and the yesterday detection result is directly used; when the preset time is exceeded, namely the effectiveness and the accuracy of the last local historical detection record are poor, the local historical detection record cannot be directly used, for example, the difference between the detection result of the current day and the detection result of the current day is usually very large, and when the detection is carried out at the current day, the detection needs to be carried out again to obtain new body health data.
Step S13: and sending the target body health data to a cloud end, so that the cloud end obtains a detection result of the target body health data based on the target body health data and a preset body health detection rule, and sending the detection result to the sending end.
It should be noted that the cloud is the cloud of the above structure, which is not described herein again, and the cloud may also be a server, etc. When the target body health data are acquired, the target body health data need to be sent to a cloud end, so that the cloud end can acquire a detection result of the target body health data based on the target body health data and a preset body health detection rule, and send the detection result to the sending end. The cloud end can be an independent server and is used for being connected with a server of a slave medical institution to update the existing preset health detection rule, so that the accuracy and the effectiveness of the detection result are higher. The preset physical health detection rule may be detection results corresponding to various values of the target physical health data, for example, the preset physical health detection rule includes detection results corresponding to different heart rates, detection results corresponding to different blood pressure values, detection results corresponding to different respiratory frequencies, and the like.
The detection result may include data values corresponding to the detections, or may include a conclusion corresponding to the detections, for example, the detection result may include: the heart rate was 100 beats per minute, and the heart rate was too high.
Step S14: and outputting the detection result when receiving the detection result sent by the cloud.
And when the detection result is received, outputting the detection result so that the target user can determine the current health condition of the target user.
It can be understood that, the transmitting end can also bind the receiving end and the large-screen display end, when the healthy data of target is obtained, the transmitting end sends the healthy detection data of target to the receiving end and the large-screen display end, and simultaneously, when receiving the testing result, synchronous sending is to the receiving end and the large-screen display end that bind (the testing result also can be that the high in the clouds directly sends the receiving end and the large-screen display end that bind), so that the user of receiving end in time looks over the healthy data of target user's target and testing result, and utilize the large-screen display end to export, be convenient for the old person to look over. The receiving end is generally equipment used by a guardian, and the guardian can timely check the target body health data and the detection result of the target user through the receiving end, so that the guardian can conveniently monitor the body health condition of the target user.
In another embodiment, whether the target body health data and the detection result need to be synchronized to the receiving end and the large-screen display end can be judged according to the age in the first account information of the target user, the teenagers do not need to be synchronized, and the old and the teenagers need to be synchronized.
The technical scheme of the embodiment provides a detection method, which is used for a sending end and receives a detection instruction of a target user; acquiring target body health data of the target user based on the detection instruction; sending the target body health data to a cloud end, so that the cloud end obtains a detection result of the target body health data based on the target body health data and a preset body health detection rule, and sending the detection result to the sending end; and outputting the detection result when receiving the detection result sent by the cloud. The sending end sends the target body health data so that the cloud end obtains the detection result based on the target body health data and the preset body health detection rule, the detection result is sent to the sending end, and the sending end directly outputs the detection result without the need of a user going to a hospital for health detection to obtain the detection result.
Referring to fig. 4, fig. 4 is a schematic flow chart of a detection method according to a second embodiment of the present invention, the method is applied to a cloud, and includes the following steps:
step S21: receiving and transmitting target body health data sent by a transmitting end, wherein the target body health data is obtained from a target user based on a received detection instruction sent by the target user;
step S22: obtaining a detection result of the target body health data based on the target body health data and a preset body health detection rule;
step S23: and sending the detection result to the sending end so that the sending end outputs the detection result.
Reference is made to the description of the first embodiment above, which is not repeated here.
Further, the cloud end stores cloud end account information and cloud end historical body health data corresponding to the cloud end account information; before step S22, the method further includes: receiving second target account information sent by the sending end, wherein the second target account information is sent by the target user; judging whether cloud account information corresponding to the second target account information exists in the cloud account information or not; the corresponding step S12 includes: when the cloud account information corresponding to the second target account information exists in the cloud account information, determining the cloud account information corresponding to the second target account information in the cloud account information as selected cloud account information; determining cloud historical body health data corresponding to the selected cloud account information as selected cloud historical body health data; and obtaining a detection result based on the selected cloud historical body health data, the target body health data and a preset body health detection rule.
It should be noted that, the second target account information is directly searched in the cloud account information stored in the cloud, the same local cloud account information is found to exist, and the same cloud account information is not found to exist, generally, the keyword of the account information is an account name, which is the real name of the user, and the search can be performed by using the account name
Generally, the cloud stores different cloud account information of different users (which may be the same as the content of the local account information, but different from the content of the local account information, where the cloud account information is stored at the cloud and the local account information is stored at the sending end), and similarly, the user sends the second target account information of the target account to the sending end, after the sending end passes through login authentication, that is, the second account information is synchronously sent to the cloud, and after the cloud receives the target health data, it is determined whether the cloud account information corresponding to the second target account information exists in the cloud account information, and if not, the step S22 is performed: obtaining a detection result of the target body health data based on the target body health data and a preset body health detection rule, and if yes, determining cloud account information corresponding to the second target account information in the cloud account information as selected cloud account information when the cloud account information corresponding to the second target account information exists in the cloud account information; determining cloud historical body health data corresponding to the selected cloud account information as selected cloud historical body health data; and obtaining a detection result based on the selected cloud historical body health data, the target body health data and a preset body health detection rule. The cloud historical health data and the target health data are selected, the preset health detection rule is utilized, the detection result is obtained, the detection result corresponding to the comparison result after the historical health data and the target health data are compared exists in the detection result, the accuracy and the effectiveness of the detection result are better, and the detection result can reflect the change of the health condition of the target user.
Generally, when a user uses the function for the first time, the cloud end does not store any data information, and as the number of times of use of the user increases, the data information (cloud end account information, cloud end historical health data corresponding to the cloud end account information and the like) stored in the cloud end is more and more, wherein the historical health data is more and more, and the health condition change included in the obtained detection result is more accurate.
Further, before step S23, the method further includes: judging whether the detection result meets a preset condition or not; generating abnormal information when the detection result does not meet the preset condition; the corresponding step S23 includes: and sending the detection result and the abnormal information to the sending end so that the sending end outputs the detection result and the abnormal information.
It should be noted that the preset condition may be that the detection data value of each detection in the detection result and the detection conclusion of each detection are normal, for example, the detection result includes a heart rate detection result; the heart rate normal value is 65-80 min, the heart rate is 75 min, the detection result is that the heart rate is normal, and at the moment, the heart rate detection meets the preset condition; it can be understood that the detection result includes respective detection data values and detection conclusions of the multiple detections, and when all the detection data values and the detection conclusions satisfy the preset conditions, the detection result can be determined to satisfy the preset conditions, and if one of the detections does not satisfy the preset conditions, the abnormal information corresponding to the one of the detections is obtained. The user can set different preset conditions according to the own requirements, and the preset conditions can include detected data values and detected conclusions, which is not limited in the invention.
And outputting the abnormal information and the detection result so that the target user can go to the hospital for treatment or treatment means in time through the abnormal information.
Further, the cloud end is connected with a receiving end, and the receiving end and the sending end have a binding relationship; after the step of sending the detection result and the abnormal information to the sending end so that the sending end outputs the detection result and the abnormal information, the method further comprises: and sending the detection result and the abnormal information to the receiving end so that the receiving end outputs the detection result and the abnormal information.
Generally, a sender refers to a sender corresponding to a target account of a target user. The binding relationship may be a relationship between a guardian and a person under guardianship, and generally, a user (young) with better mobility and physical function is a receiving end, and a user (old and young) with poorer mobility and physical function is a sending end. The cloud usually stores the cloud account information of the sending end and the contact information of the receiving end (which may be a mobile phone number, when the receiving end has the detection method program of the invention, the cloud account information of the guardian of the sending end, and other contact information), and sends the detection result and the abnormal information to the receiving end, so that the guardian of the receiving end can check the detection result and the abnormal information in time to obtain the detection result and the abnormal information of the target user. Generally, when a user registers, the user can be reminded to input the contact information of the bound receiving terminal according to the age input by the user, the contact information can be various types of contact information, and the invention is not limited, and the preferred mobile phone number and the account information are provided by the invention.
Referring to fig. 5, fig. 5 is a block diagram of a first embodiment of a detection apparatus according to the present invention, where the apparatus is used at a transmitting end, and the apparatus includes:
a first receiving module 10, configured to receive a detection instruction of a target user;
an obtaining module 20, configured to obtain target body health data of the target user based on the detection instruction;
the first sending module 30 is configured to send the target body health data to a cloud, so that the cloud obtains a detection result of the target body health data based on the target body health data and a preset body health detection rule, and sends the detection result to the sending end;
and the output module 40 is configured to output the detection result when receiving the detection result sent by the cloud.
Referring to fig. 6, fig. 6 is a block diagram of a second embodiment of a detection apparatus according to the present invention, the apparatus is used in a cloud, and the apparatus includes:
a second receiving module 50, configured to receive target body health data sent by a sending end, where the target body health data is obtained from a target user based on a received detection instruction sent by the target user;
an obtaining module 60, configured to obtain a detection result of the target body health data based on the target body health data and a preset body health detection rule;
a second sending module 70, configured to send the detection result to the sending end, so that the sending end outputs the detection result.
The above description is only an alternative embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A detection method is characterized in that the method is used for a sending end; the health detection method comprises the following steps:
receiving a detection instruction of a target user;
acquiring target body health data of the target user based on the detection instruction;
sending the target body health data to a cloud end, so that the cloud end obtains a detection result of the target body health data based on the target body health data and a preset body health detection rule, and sending the detection result to the sending end;
and outputting the detection result when receiving the detection result sent by the cloud.
2. The detection method according to claim 1, wherein the sending end stores local account information and a local history detection record corresponding to the local account information; before the step of obtaining the target body health data of the target user based on the detection instruction, the method further includes:
receiving first target account information sent by the target user;
judging whether a local history detection record corresponding to the first target account information exists in the local history detection record or not;
the step of obtaining target body health data of the target user based on the detection instruction comprises:
and when the local historical detection record corresponding to the first target account information does not exist in the local historical detection record, acquiring target body health data of the target user based on the detection instruction.
3. The detection method according to claim 2, wherein the sending end further stores local historical physical health data corresponding to the local historical detection record and local historical detection results corresponding to the local historical physical health data; after the step of determining whether the local history detection record corresponding to the first target account information exists in the local history detection record, the method includes:
when a local history detection record corresponding to the first target account information exists in the local history detection records, determining the local history detection record corresponding to the first target account information in the local history detection records as a selected local history detection record;
determining local historical physical health data corresponding to the selected local historical detection record as selected local historical physical health data;
determining a local historical detection result corresponding to the selected local historical physical health data as a selected local historical detection result;
and outputting the selected local historical detection result.
4. A detection method is characterized by being used for a cloud end; the health detection method comprises the following steps:
receiving target body health data sent by a sending end, wherein the target body health data is obtained from a target user based on a received detection instruction sent by the target user;
obtaining a detection result of the target body health data based on the target body health data and a preset body health detection rule;
and sending the detection result to the sending end so that the sending end outputs the detection result.
5. The detection method according to claim 4, wherein the cloud end stores cloud end account information and cloud end historical body health data corresponding to the cloud end account information; before the step of obtaining the detection result of the target body health data based on the target body health data and the preset body health detection rule, the method further includes:
receiving second target account information sent by the sending end, wherein the second target account information is sent by the target user;
judging whether cloud account information corresponding to the second target account information exists in the cloud account information or not;
the step of obtaining the detection result of the target body health data based on the target body health data and a preset body health detection rule comprises:
when the cloud account information corresponding to the second target account information exists in the cloud account information, determining the cloud account information corresponding to the second target account information in the cloud account information as selected cloud account information;
determining cloud historical body health data corresponding to the selected cloud account information as selected cloud historical body health data;
and obtaining a detection result based on the selected cloud historical body health data, the target body health data and a preset body health detection rule.
6. The detection method according to claim 5, wherein before the step of sending the detection result to the sender so that the sender outputs the detection result, the method further comprises:
judging whether the detection result meets a preset condition or not;
generating abnormal information when the detection result does not meet the preset condition;
the step of sending the detection result to the sending end so that the sending end outputs the detection result comprises:
and sending the detection result and the abnormal information to the sending end so that the sending end outputs the detection result and the abnormal information.
7. The detection method according to claim 6, wherein the cloud is connected to a receiving end, and the receiving end has a binding relationship with the transmitting end; after the step of sending the detection result and the abnormal information to the sending end so that the sending end outputs the detection result and the abnormal information, the method further comprises:
and sending the detection result and the abnormal information to the receiving end so that the receiving end outputs the detection result and the abnormal information.
8. A transmitting end, characterized in that the transmitting end comprises: memory, a processor and a detection program stored on the memory and running on the processor, the detection program when executed by the processor implementing the steps of the detection method according to any one of claims 1 to 3.
9. A cloud, the cloud comprising: memory, processor and a detection program stored on the memory and running on the processor, the detection program when executed by the processor implementing the steps of the detection method according to any one of claims 4 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a detection program which, when executed by a processor, implements the steps of the detection method according to any one of claims 1 to 7.
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