CN109528183B - Human body abnormal state monitoring method and device and computer readable storage medium - Google Patents

Human body abnormal state monitoring method and device and computer readable storage medium Download PDF

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CN109528183B
CN109528183B CN201910037828.7A CN201910037828A CN109528183B CN 109528183 B CN109528183 B CN 109528183B CN 201910037828 A CN201910037828 A CN 201910037828A CN 109528183 B CN109528183 B CN 109528183B
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heartbeat
monitored object
scene
comparison result
breathing
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CN109528183A (en
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韩璧丞
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Zhejiang Qiangnao Technology Co ltd
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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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • 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
    • A61B5/7405—Details of notification to user or communication with user or patient ; user input means using sound
    • 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
    • A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
    • 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
    • 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
    • A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
    • A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution

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Abstract

The invention discloses a method, a device and a computer readable storage medium for monitoring abnormal states of a human body, wherein the method comprises the following steps: when a monitoring request is detected, acquiring basic sign data of a monitored object corresponding to a monitoring request sending end; determining a target scene where a monitored object is located currently according to the environmental information and the time information of the place where the monitored object is located and the motion data of the monitored object in the past preset time; determining the current standard respiratory parameter and standard heartbeat parameter of the monitored object according to the basic sign data and the target scene; respectively comparing the current respiratory parameter with the standard respiratory parameter, and the current heartbeat parameter with the standard heartbeat parameter to respectively obtain a respiratory parameter comparison result and a heartbeat parameter comparison result; and when the breathing parameter comparison result and/or the heartbeat parameter comparison result are in an abnormal state, outputting an abnormal prompt to the monitored object and the monitored object associated terminal. The invention can more accurately realize the monitoring of the abnormal state of the human body.

Description

Human body abnormal state monitoring method and device and computer readable storage medium
Technical Field
The invention relates to the field of intelligent human health monitoring, in particular to a method and equipment for monitoring abnormal human states and a computer readable storage medium.
Background
Most of the existing detection devices for monitoring the abnormal state of the human body perform analysis and calculation based on physiological parameters such as electrocardio, blood pressure, blood oxygen and the like, the analysis and calculation needs very accurate data sources, and the precision requirement of acquisition devices is high. Meanwhile, because the normal range of various physiological parameters is greatly changed when the human body is in different scenes, the conventional monitoring method for the abnormal state of the human body analyzes and calculates the collected physiological parameters of the human body without considering the specific scene where the human body is located, so that the monitoring for the abnormal state of the human body cannot meet the actual scene requirements of users.
Disclosure of Invention
The invention mainly aims to provide a method and equipment for monitoring human body abnormal states and a computer readable storage medium, and aims to solve the technical problem that the monitoring of the human body abnormal states cannot meet the actual scene requirements of users.
In order to achieve the above object, the present invention provides a method for monitoring abnormal human body conditions, comprising:
when a monitoring request is detected, acquiring basic sign data of a monitored object corresponding to a monitoring request sending end;
determining a target scene where a monitored object is located currently according to the environmental information and the time information of the place where the monitored object is located and the motion data of the monitored object in the past preset time;
determining the current standard respiratory parameter and standard heartbeat parameter of the monitored object according to the basic sign data and the target scene, and detecting the current respiratory parameter and the current heartbeat parameter of the monitored object in real time;
respectively comparing the current respiratory parameter with the standard respiratory parameter, and the current heartbeat parameter with the standard heartbeat parameter to respectively obtain a respiratory parameter comparison result and a heartbeat parameter comparison result;
and when the breathing parameter comparison result and/or the heartbeat parameter comparison result are in an abnormal state, outputting an abnormal prompt to the monitored object and the monitored object associated terminal.
Optionally, when the monitoring request is detected, the step of obtaining basic sign data of the monitored object corresponding to the monitoring request sending end includes:
when a monitoring request is detected, acquiring a device identifier of a monitoring request sending end;
inquiring a registration identification of the monitoring object corresponding to the equipment identification in a preset user registry;
and acquiring basic sign data of the monitored object in a preset monitoring system according to the registration identification, wherein the basic sign data at least comprises age, height, weight, blood pressure, blood fat and places of daily use.
Optionally, the step of determining, according to the environmental information and the time information of the location where the monitored object is located and the motion data of the monitored object within the past preset time, the target scene where the monitored object is currently located includes:
determining environment information of a place where the monitoring object is located currently based on the current geographic position of the monitoring object and preset map data, wherein the environment information comprises an altitude and place attributes of the current geographic position, and the place attributes comprise an office place, a living place and a medical place;
determining the current time zone of the monitored object based on the current geographical position, and acquiring the current time of the current time zone of the monitored object based on the current time zone;
acquiring motion data of the monitored object within a past preset time length based on the wearable device carried by the monitored object, and acquiring the motion amount of the monitored object within the past preset time length based on the motion data;
and determining a target scene where the monitoring object is located currently according to the altitude, the location attribute, the current time and the motion amount, wherein the scene comprises a motion scene, a plateau scene, a sleep scene and an illness scene.
Optionally, the step of determining the current target scene of the monitoring object according to the altitude, the location attribute, the current time and the motion amount includes:
when the altitude is larger than a preset maximum altitude value, the current target scene of the monitored object is a plateau scene;
when the altitude is less than or equal to a preset maximum altitude value, the motion amount is greater than a preset maximum motion value, and the place attribute is a motion field, the target scene where the monitored object is located is a motion scene;
when the site attribute is a medical site and the motion amount is smaller than a preset minimum motion value, determining that a target scene where the monitored object is located is a disease scene;
and when the place attribute is a living place, the motion amount is smaller than a preset minimum motion value, and the current time is in a preset sleep time period, the target scene where the monitoring object is currently located is a sleep scene.
Optionally, the step of determining the current standard respiratory parameter and standard heartbeat parameter of the monitored subject according to the basic sign data and the target scene includes:
acquiring basic breathing parameters and basic heartbeat parameters of a monitored object according to the basic sign data, wherein the basic breathing parameters comprise basic breathing frequency and breathing rhythm characteristics, and the basic heartbeat parameters comprise basic heartbeat frequency and heartbeat rhythm characteristics;
acquiring corresponding respiratory frequency adjustment coefficients and heartbeat frequency adjustment coefficients according to a target scene, wherein the respiratory frequency adjustment coefficients and the heartbeat frequency adjustment coefficients of a plateau scene, a motion scene, a sick scene and a conventional life scene are reduced in sequence;
taking the product of the basic respiratory frequency and the respiratory frequency adjustment coefficient as the adjusted respiratory frequency, and taking the product of the basic heartbeat frequency and the heartbeat frequency adjustment coefficient as the adjusted heartbeat frequency; and the adjusted respiratory frequency and respiratory rhythm characteristics are used as standard respiratory parameters, and the adjusted heartbeat frequency and heartbeat rhythm characteristics are used as standard heartbeat parameters.
Optionally, when the breathing parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state, the step of outputting an abnormal prompt to the monitored object and the monitored object associated terminal includes:
if the target scene is a plateau scene and the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristics are abnormal, controlling an intelligent oxygen supply machine of the monitored object to increase oxygen supply;
if the target scene is a plateau scene, and the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, outputting first prompt information to prompt the monitored object to strengthen rest and take anti-altitude reaction medicines;
if the target scene is a motion scene, and the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, outputting second prompt information to prompt the monitored object to reduce the motion intensity and control the motion equipment used by the monitored object to reduce the output power;
and if the target scene is a motion scene, and the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, outputting third prompt information to prompt the monitored object to stop moving and closing the motion equipment used by the monitored object.
Optionally, when the breathing parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state, the step of outputting an abnormal prompt to the monitored object and the monitored object associated terminal includes:
if the target scene is a sleep scene, if the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, controlling the intelligent headrest of the monitored object to adjust the height in a self-adaptive manner;
if the target scene is a sleep scene, and if the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, controlling the intelligent mattress used by the monitored object to adaptively adjust the sleep area support form of the monitored object.
Optionally, when the breathing parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state, the step of outputting an abnormal prompt to the monitored object and the monitored object associated terminal includes:
if the target scene is a diseased scene, if the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, outputting fourth prompt information to prompt the monitoring object to seek help in a medical area.
And if the target scene is a sick scene, outputting fifth prompt information to the monitoring terminal of the monitored object to prompt medical staff of the monitoring terminal to carry out human medical assistance if the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal.
In addition, in order to achieve the above purpose, the invention also provides a human body abnormal state monitoring device; the human body abnormal state monitoring apparatus includes: memory, treater and store on the memory and can be in the human abnormal state monitoring program of operation on the treater, wherein: the human body abnormal state monitoring program realizes the steps of the human body abnormal state monitoring method when being executed by the processor.
In addition, to achieve the above object, the present invention also provides a computer-readable storage medium; the computer readable storage medium stores a human body abnormal state monitoring program, and the human body abnormal state monitoring program realizes the steps of the human body abnormal state monitoring method when being executed by a processor.
In the invention, basic sign data of a monitored object is obtained in advance, a target scene where the monitored object is located is determined based on environmental information and time information of the place where the monitored object is located and motion data of the monitored object in a past preset time, and then a current standard respiratory parameter and a current standard heartbeat parameter of the monitored object are determined according to the basic sign data and the target scene, thereby outputting an abnormal prompt to the monitored object and the monitored object associated terminal when the breathing parameter comparison result and/or the heartbeat parameter comparison result are in an abnormal state, therefore, the basic sign data and the target scene of the monitored object are combined, the abnormal human body state of the monitored object is monitored in a targeted mode, the actual scene requirements of users are met, the abnormal human body state monitoring is achieved more accurately, and abnormal state prompt and early warning which do not consider specific scenes are avoided.
Drawings
FIG. 1 is a schematic diagram of a terminal structure of a hardware operating environment of a human health status detection apparatus according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a human health status detection method according to an embodiment of the 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
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.
The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).
WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.
Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.
The memory 109 may be used to store software programs and various data, and the memory 109 may be a computer storage medium, and the memory 109 stores the message alert program of the present invention. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Such as processor 110, executes a message alert program stored in memory 109 to implement the steps of various embodiments of the message alert method of the present invention.
Processor 110 may include one or more processing units; alternatively, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and optionally, the power supply 111 may be logically connected to the processor 110 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.
Based on the mobile terminal hardware structure and the mobile intelligent device control technology system, the invention provides various embodiments of the method.
The invention provides a method for monitoring abnormal human body state, referring to fig. 2, in an embodiment of the method for monitoring abnormal human body state, the method comprises the following steps:
step S10, when a monitoring request is detected, acquiring basic sign data of a monitored object corresponding to a monitoring request sending terminal;
the method for monitoring the abnormal human body state is applied to monitoring equipment, and when a user (namely a monitored object) of the monitoring equipment needs to monitor the abnormal human body state of the user by using the monitoring equipment, the monitored object can operate the monitoring equipment to input a monitoring request to the monitoring equipment or directly send the monitoring request to the monitoring equipment based on a remote control terminal.
Specifically, when a monitoring request is detected, an equipment identifier of a monitoring request sending end is obtained, where the equipment identifier may be an equipment code of the monitoring request sending end, the equipment identifier corresponds to a registration identifier of a user (i.e., a monitoring object) of the monitoring request sending end, and a preset user registry includes all monitoring request sending ends and respective corresponding registration identifiers, so as to query, in the preset user registry, registration identifiers of monitoring objects corresponding to the equipment identifier. And then querying and acquiring basic sign data of the monitored object in a preset monitoring system with the health record of the monitored object established by the registration mark, wherein the basic sign data at least comprises age, height, weight, blood pressure, blood fat and places where the monitored object lives.
For example, the monitoring object a operates the monitoring request sending terminal B to send a monitoring request to the monitoring device, and obtains the device identifier B001 of the monitoring request sending terminal B, so as to query the registration identifier a001 corresponding to the device identifier B001 from the preset user registry, where the registration identifier a001 is a mark of the monitoring object. Therefore, basic sign data associated with the registration identifier A001 is inquired and obtained in the preset monitoring system, and the inquired basic sign data is associated with the monitored object.
In addition, the age, height, weight, blood pressure, blood fat and the place of daily living in the basic physical sign data are closely related to the standard respiratory parameter and the standard heartbeat parameter of the monitored subject, for example, the larger the age, weight-height ratio, blood pressure and blood fat of the monitored subject are, the larger the respiratory frequency and the center jump frequency of the standard heartbeat parameter in the standard respiratory parameter are, the higher the latitude of the daily living of the monitored subject is, and the larger the respiratory frequency and the center jump frequency of the standard heartbeat parameter in the standard respiratory parameter are.
Step S20, determining the current target scene of the monitored object according to the environmental information and the time information of the place where the monitored object is located and the motion data of the monitored object in the past preset time;
the method comprises the steps that firstly, the current geographic position (such as longitude and latitude) of a monitored object is determined based on wearing equipment (such as an intelligent bracelet, an intelligent mobile phone and the like) used by the monitored object, preset map data are stored in the monitoring equipment, an electronic map constructed by the preset map data has associated records and descriptions on the altitude, the terrain, surface buildings and addresses of each position, so that the relevant information of the altitude, the terrain, the surface buildings and the addresses of the places where the monitored object is located can be determined based on the current geographic position of the monitored object and the preset map data, the place attribute of the current geographic position is further determined based on the terrain, the surface buildings and the addresses of the places where the monitored object is located (namely the current geographic position), and the place attribute and the altitude are used as environment information of the places where the monitored object is. Specifically, when the terrain and the surface building are houses and the address is the name of the house (such as a certain cell), the corresponding place attribute is a living site; when the terrain and the earth surface building are office buildings and the address is the name of the office building (such as a certain building), the corresponding place attribute is an office field; when the terrain and the ground surface building are public places and the address is the name of the hospital, the corresponding place attribute is a medical place.
Moreover, the current time zone of the monitoring object can be confirmed based on the current geographical position of the place of the monitoring object, and if the current geographical position is in the Beijing area, the current time zone is the Dongbai area. And further acquiring the current time of the current time zone of the monitored object based on the current time zone, wherein the current time is the time at the time, such as 18: 00.
Furthermore, based on the wearable device used or carried by the monitored object, the motion data of the monitored object in the past preset time (namely the preset time before the current time) is obtained, the motion data can comprise a walking route, a running route, a riding route and the like, and the motion amount of the monitored object in the past preset time is obtained through comprehensive calculation based on the motion data, the motion amount reflects the body state of the monitored object after the motion at the moment, and the larger the motion amount is, the larger the heartbeat frequency and the respiratory frequency of the monitored object at the moment are.
And determining a target scene where the monitoring object is currently located according to the altitude, the location attribute, the current time and the motion amount, wherein the scene comprises a motion scene, a plateau scene, a sleep scene and an illness scene.
Step S30, determining the current standard respiratory parameter and standard heartbeat parameter of the monitored object according to the basic sign data and the target scene, and detecting the current respiratory parameter and current heartbeat parameter of the monitored object in real time;
acquiring basic respiratory parameters and basic heartbeat parameters of a monitored object according to basic sign data of the monitored object, wherein the basic respiratory parameters comprise basic respiratory frequency and respiratory rhythm characteristics, and the basic heartbeat parameters comprise basic heartbeat frequency and heartbeat rhythm characteristics; for example, the heartbeat frequency of a healthy adult is 75 times/minute, and the heartbeat frequency of the healthy adult fluctuates in the range of 60-100 times/minute; the respiratory rate of healthy adults is 16-20 times per minute, the heartbeat rate and respiratory rate of children are slightly higher, and the respiratory rate and heartbeat rate of old people are slightly lower. The heartbeat frequency of a normal healthy adult female is higher than that of a male heart bar, and the heartbeat frequency can be increased during physical activity and mental excitation. Different monitoring objects can generate different heartbeat parameters and breathing parameters in different scenes, for example, the heartbeat frequency of people who often engage in heavy physical labor or physical exercise is slow, and can be less than 60 times per minute, which belongs to a normal state in a motion scene, when the heartbeat parameter and the breathing parameter are compared with data in the normal state, the heartbeat parameter and the breathing parameter belong to an abnormal state, so when the heartbeat signal and the breathing signal of the user at the current moment are judged, the judgment is carried out according to different scenes, and the judgment is also distinguished from people of all ages and both sexes.
Thirdly, acquiring corresponding respiratory frequency adjustment coefficients and heartbeat frequency adjustment coefficients according to the target scene, wherein the respiratory frequency adjustment coefficients and the heartbeat frequency adjustment coefficients of the plateau scene, the motion scene and the illness scene are reduced in sequence; in other words, for example, in a plateau scene, a motion scene and an illness scene, the heartbeat frequency and the respiratory frequency of a normal adult are sequentially reduced under a normal condition, so that the respiratory frequency adjustment coefficient for adjusting the basic respiratory frequency and the heartbeat adjustment coefficient for adjusting the basic heartbeat frequency are the largest in the plateau scene, the motion scene is the second place in the plateau scene, and the illness scene is the second place in the illness scene. For example, the respiratory frequency adjustment coefficient and the heartbeat adjustment coefficient in a plateau scene are 1.5, the respiratory frequency adjustment coefficient and the heartbeat adjustment coefficient in a motion scene are 1.3, and the respiratory frequency adjustment coefficient and the heartbeat adjustment coefficient in an illness scene are 1.1.
Thirdly, taking the product of the basic respiratory frequency and the respiratory frequency adjusting coefficient as the adjusted respiratory frequency, and taking the product of the basic heartbeat frequency and the heartbeat frequency adjusting coefficient as the adjusted heartbeat frequency; and the adjusted respiratory frequency and respiratory rhythm characteristics are used as standard respiratory parameters, and the adjusted heartbeat frequency and heartbeat rhythm characteristics are used as standard heartbeat parameters. For example, if the basic respiratory rate is 18 times/min, and the respiratory rate adjustment coefficient of the plateau scene is 1.5, the adjusted respiratory rate is 27 times/min. The breathing rhythm characteristic refers to the breathing and breathing alternative distribution according with the preset convention, and the heartbeat rhythm characteristic refers to the cardiac pacing alternative distribution according with the preset convention.
Step S40, comparing the current breathing parameter with the standard breathing parameter, and comparing the current heartbeat parameter with the standard heartbeat parameter, so as to obtain a breathing parameter comparison result and a heartbeat parameter comparison result respectively;
respectively comparing the respiratory frequency and the respiratory rhythm characteristics in the current respiratory parameter with the respiratory frequency and the respiratory rhythm characteristics in the standard respiratory parameter to obtain a respiratory parameter comparison result; meanwhile, the heartbeat frequency and the heartbeat rhythm feature in the current heartbeat parameter are respectively compared with the heartbeat frequency and the heartbeat rhythm feature in the standard heartbeat parameter, so that a heartbeat parameter comparison result is obtained.
And step S50, when the breathing parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state, outputting an abnormal prompt to the monitored object and the monitored object associated terminal.
And distinguishing different target scenes, and analyzing the breathing parameter comparison result and the heartbeat parameter comparison result so as to output an abnormal prompt to the monitored object and the monitored object associated terminal.
The method comprises the following specific steps:
if the target scene is a plateau scene, the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristics are abnormal, the monitored object is in a plateau area, and the breathing is rapid and irregular, the altitude reaction is probably caused, and the altitude reaction can be effectively relieved by oxygen inhalation, so that the intelligent oxygen supply machine of the monitored object is controlled to increase the oxygen supply amount, and the intelligent oxygen supply machine is in communication connection with the monitoring equipment and is the accompanying equipment of the monitored object.
If the target scene is a plateau scene, and the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristics are abnormal, it is indicated that after the monitoring object has symptoms of shortness of breath and irregular breath for a long time, the heartbeat of the monitoring object is too fast and irregular, the plateau reaction of the monitoring object is further deepened, and at the moment, first prompt information is output to prompt the monitoring object to strengthen rest and take anti-altitude reaction medicines, so that the danger of the monitoring object is avoided.
If the target scene is a motion scene, the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, the motion intensity of the monitored object is indicated to be larger, second prompt information is output at the moment to prompt the monitored object to reduce the motion intensity, if the monitored object is trained by means of the motion equipment, the motion equipment used by the monitored object is controlled to reduce the output power, and the motion equipment is in communication connection with the monitoring equipment.
If the target scene is a motion scene, the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, it indicates that after the monitored object is violently moved for a long time, the symptoms of respiration urgency and respiration irregularity are aggravated, the monitored object has the symptoms of heartbeat too fast and heartbeat irregularity, at this time, the excessive motion condition of the monitored object is further deepened, and third prompt information is output to prompt the monitored object to stop moving and close the motion equipment used by the monitored object.
In addition, if the target scene is a sleep scene, if the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, it indicates that the monitored object has abnormal local sleeping posture, such as abnormal sleeping posture of the head or the neck, and the monitored object has the problems of snoring and unsmooth breathing, the intelligent headrest of the monitored object is controlled to adjust the height in a self-adaptive manner so as to correct the local sleeping posture of the monitored object; the intelligent headrest is in communication connection with the monitoring equipment in advance, and the whole or local height adjustment can be carried out on the contact area of the intelligent headrest and the head of the monitored object.
If the target scene is a sleep scene, if the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, it indicates that the problems of tachypnea and abnormal respiration rhythm are aggravated after the monitored object is adjusted by the intelligent headrest, and more serious problems of tachycardia and irregular heartbeat are caused, at this moment, the sleeping posture of the monitored object must be comprehensively and thoroughly adjusted, so that an intelligent mattress used for controlling the monitored object adaptively adjusts the sleep area supporting form of the monitored object, the intelligent mattress is in communication connection with the monitoring equipment, and the intelligent mattress and the side surface in contact with the monitored object can be wholly or locally adjusted in height.
In addition, if the target scene is a sick scene, if the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, it indicates that the monitored object is in a mild dangerous condition, and the monitored object in the mild dangerous condition can seek help by itself, so that fourth prompt information is output in time to prompt the monitored object to seek help from a hospitalizing area, and hospitalizing area navigation can be provided for the monitored object if necessary.
If the target scene is a disease scene, if the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, it is indicated that the monitored object is in a severe dangerous condition, and the monitored object in the severe dangerous condition cannot seek help by itself, so that fifth prompt information is output to the monitoring terminal of the monitored object to prompt medical staff of the monitoring terminal to carry out human medical assistance, and the fifth prompt information comprises the position of the monitored object.
In the embodiment, the basic sign data of the monitored object is obtained in advance, the current target scene of the monitored object is determined based on the environmental information and the time information of the place where the monitored object is located and the motion data of the monitored object within the past preset time, the current standard breathing parameter and the standard heartbeat parameter of the monitored object are determined according to the basic sign data and the target scene, thereby outputting an abnormal prompt to the monitored object and the monitored object associated terminal when the breathing parameter comparison result and/or the heartbeat parameter comparison result are in an abnormal state, therefore, the basic sign data and the target scene of the monitored object are combined, the abnormal human body state of the monitored object is monitored in a targeted mode, the actual scene requirements of users are met, the abnormal human body state monitoring is achieved more accurately, and abnormal state prompt and early warning which do not consider specific scenes are avoided.
Further, in another embodiment of the method for monitoring abnormal human body state of the present invention, the step of determining the current target scene of the monitored object according to the altitude, the location attribute, the current time and the motion amount includes:
step A1, when the altitude is larger than a preset maximum altitude value, the target scene where the monitoring object is currently located is a plateau scene;
when the altitude is greater than the preset maximum altitude value, if the preset maximum altitude value is 2500m, no matter whether the monitored object moves, sleeps or goes to doctor, the monitored object is located in a high mountain or plateau area, the target scene where the monitored object is located at present is judged to be a plateau scene, and the plateau scene shows that the monitored object is easy to have altitude reaction.
Step A2, when the altitude is less than or equal to a preset maximum altitude value, the motion amount is greater than a preset maximum motion value, and the place attribute is a motion field, the target scene where the monitoring object is currently located is a motion scene;
when the altitude is smaller than or equal to the preset maximum altitude value, the monitored object is not located in a plateau or a mountain area, the motion quantity of the monitored object is larger than the preset maximum motion value, the place attribute is a motion place, the monitored object is indicated to make violent motion in the motion place, and therefore the target scene where the monitored object is located at present is determined to be the motion scene.
A3, if the local point attribute is a medical field and the motion amount is less than a preset minimum motion value, determining that the current target scene of the monitored object is a disease scene;
if the site attribute is a medical site, the monitored object is shown to go to a hospital or clinic for medical treatment, and the exercise amount is smaller than the preset minimum exercise value, which shows that no daily basic exercise (such as walking) of the monitored object exists and the monitored object is basically in a bed-lying state, so that the current target scene of the monitored object is determined to be a disease scene.
Step A4, if the local point attribute is a living place, the motion amount is smaller than a preset minimum motion value, and the current time is in a preset sleep time period, the target scene where the monitoring object is currently located is a sleep scene.
If the place attribute is a living place, the monitored object is located in a public living place (such as a hotel) or a private living place (such as own home), the motion amount is smaller than a preset minimum motion value, the monitored object is basically in a long-lying or long-sitting state, and the current time is in a preset sleep time period (such as 22:00 to 6:00 of the next day), so that the monitored object is located in the living place, in the long-lying or long-sitting state and in the preset sleep time period at night, and the target scene where the monitored object is located at present can be determined to be a sleep scene.
In addition, when the amount of exercise is greater than or equal to the preset minimum exercise value and less than or equal to the preset maximum exercise value, and the current moment is not in the preset sleep time period, it indicates that the monitored object is not in violent exercise, is not in a long-lying or long-sitting state, is not in the preset sleep time period, and has no motivation to sleep, so that the target scene where the monitored object is currently located is determined to be a conventional life scene, and the conventional life scene includes specific scenes such as normal work, home rest and the like.
In the embodiment, through combined judgment of several conditions of altitude, location attribute, motion amount and whether the current time is in a preset sleep time period, the target scenes are determined to be plateau scenes, motion scenes, sick scenes, sleep scenes and the like one by one, different types of target scenes are accurately distinguished, accurate target scene data sources are provided for subsequent judgment of abnormal human states, and the accuracy of monitoring the abnormal human states is further improved.
The present invention also provides a human body abnormal state monitoring apparatus, including: the human body abnormal state monitoring method comprises a memory, a processor and a human body abnormal state monitoring program which is stored on the memory and can run on the processor, wherein the human body abnormal state monitoring program realizes the steps of the human body abnormal state monitoring method when being executed by the processor.
The present invention also provides a computer-readable storage medium storing one or more programs, which can be further executed by one or more processors for implementing the steps of the embodiments of the above-mentioned human body abnormal state monitoring method.
The specific implementation of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the above-mentioned human body abnormal state monitoring method, and will not be described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. 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 (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A human body abnormal state monitoring apparatus, characterized by comprising: the human body abnormal state monitoring program comprises a memory, a processor and a human body abnormal state monitoring program which is stored on the memory and can run on the processor, wherein when the human body abnormal state monitoring program is executed by the processor, the following steps are realized:
when a monitoring request is detected, acquiring basic sign data of a monitored object corresponding to a monitoring request sending end;
determining a target scene where a monitored object is located currently according to the environmental information and the time information of the place where the monitored object is located and the motion data of the monitored object in the past preset time;
determining the current standard respiratory parameter and standard heartbeat parameter of the monitored object according to the basic sign data and the target scene, and detecting the current respiratory parameter and the current heartbeat parameter of the monitored object in real time;
respectively comparing the current respiratory parameter with the standard respiratory parameter, and the current heartbeat parameter with the standard heartbeat parameter to respectively obtain a respiratory parameter comparison result and a heartbeat parameter comparison result;
when the breathing parameter comparison result and/or the heartbeat parameter comparison result are in an abnormal state, outputting an abnormal prompt to the monitored object and the monitored object associated terminal;
the step of determining the current standard respiratory parameter and standard heartbeat parameter of the monitored object according to the basic sign data and the target scene comprises the following steps:
acquiring basic breathing parameters and basic heartbeat parameters of a monitored object according to the basic sign data, wherein the basic breathing parameters comprise basic breathing frequency and breathing rhythm characteristics, and the basic heartbeat parameters comprise basic heartbeat frequency and heartbeat rhythm characteristics;
acquiring corresponding respiratory frequency adjustment coefficients and heartbeat frequency adjustment coefficients according to a target scene, wherein the respiratory frequency adjustment coefficients and the heartbeat frequency adjustment coefficients of a plateau scene, a motion scene, a sick scene and a conventional life scene are reduced in sequence;
taking the product of the basic respiratory frequency and the respiratory frequency adjustment coefficient as the adjusted respiratory frequency, and taking the product of the basic heartbeat frequency and the heartbeat frequency adjustment coefficient as the adjusted heartbeat frequency; and the adjusted respiratory frequency and respiratory rhythm characteristics are used as standard respiratory parameters, and the adjusted heartbeat frequency and heartbeat rhythm characteristics are used as standard heartbeat parameters.
2. The human body abnormal state monitoring device according to claim 1, wherein the step of acquiring basic sign data of the monitored object corresponding to the monitoring request sending end when the monitoring request is detected includes:
when a monitoring request is detected, acquiring a device identifier of a monitoring request sending end;
inquiring a registration identification of the monitoring object corresponding to the equipment identification in a preset user registry;
and acquiring basic sign data of the monitored object in a preset monitoring system according to the registration identification, wherein the basic sign data at least comprises age, height, weight, blood pressure, blood fat and places of daily use.
3. The human body abnormal state monitoring device according to claim 1 or 2, wherein the step of determining the target scene where the monitored object is currently located according to the environmental information and the time information of the place where the monitored object is located and the motion data of the monitored object within the past preset time period includes:
determining environment information of a place where the monitoring object is located currently based on the current geographic position of the monitoring object and preset map data, wherein the environment information comprises an altitude and place attributes of the current geographic position, and the place attributes comprise an office place, a living place and a medical place;
determining the current time zone of the monitored object based on the current geographical position, and acquiring the current time of the current time zone of the monitored object based on the current time zone;
acquiring motion data of the monitored object within a past preset time length based on the wearable device carried by the monitored object, and acquiring the motion amount of the monitored object within the past preset time length based on the motion data;
and determining a target scene where the monitoring object is located currently according to the altitude, the location attribute, the current time and the motion amount, wherein the scene comprises a motion scene, a plateau scene, a sleep scene and an illness scene.
4. The human body abnormal state monitoring apparatus as claimed in claim 3, wherein the step of determining a target scene in which the monitoring object is currently located according to the altitude, the location attribute, the current time and the motion amount comprises:
when the altitude is larger than a preset maximum altitude value, the current target scene of the monitored object is a plateau scene;
when the altitude is less than or equal to a preset maximum altitude value, the motion amount is greater than a preset maximum motion value, and the place attribute is a motion field, the target scene where the monitored object is located is a motion scene;
when the site attribute is a medical site and the motion amount is smaller than a preset minimum motion value, determining that a target scene where the monitored object is located is a disease scene;
and when the place attribute is a living place, the motion amount is smaller than a preset minimum motion value, and the current time is in a preset sleep time period, the target scene where the monitoring object is currently located is a sleep scene.
5. The human body abnormal state monitoring device according to claim 1, wherein the step of outputting an abnormal prompt to the monitoring object and the monitoring object associated terminal when the breathing parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state comprises:
if the target scene is a plateau scene and the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristics are abnormal, controlling an intelligent oxygen supply machine of the monitored object to increase oxygen supply;
if the target scene is a plateau scene, and the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, outputting first prompt information to prompt the monitored object to strengthen rest and take anti-altitude reaction medicines;
if the target scene is a motion scene, and the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, outputting second prompt information to prompt the monitored object to reduce the motion intensity and control the motion equipment used by the monitored object to reduce the output power;
and if the target scene is a motion scene, and the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, outputting third prompt information to prompt the monitored object to stop moving and closing the motion equipment used by the monitored object.
6. The human body abnormal state monitoring device according to claim 1, wherein the step of outputting an abnormal prompt to the monitoring object and the monitoring object associated terminal when the breathing parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state comprises:
if the target scene is a sleep scene, if the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, controlling the intelligent headrest of the monitored object to adjust the height in a self-adaptive manner;
if the target scene is a sleep scene, and if the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, controlling the intelligent mattress used by the monitored object to adaptively adjust the sleep area support form of the monitored object.
7. The human body abnormal state monitoring device according to claim 1, wherein the step of outputting an abnormal prompt to the monitoring object and the monitoring object associated terminal when the breathing parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state comprises:
if the target scene is a diseased scene, if the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, outputting fourth prompt information to prompt the monitoring object to seek help in a hospitalizing area;
and if the target scene is a sick scene, outputting fifth prompt information to the monitoring terminal of the monitored object to prompt medical staff of the monitoring terminal to carry out human medical assistance if the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal.
8. A computer-readable storage medium having a human body abnormal state monitoring program stored thereon, the human body abnormal state monitoring program when executed by a processor implementing the steps of:
when a monitoring request is detected, acquiring basic sign data of a monitored object corresponding to a monitoring request sending end;
determining a target scene where a monitored object is located currently according to the environmental information and the time information of the place where the monitored object is located and the motion data of the monitored object in the past preset time;
determining the current standard respiratory parameter and standard heartbeat parameter of the monitored object according to the basic sign data and the target scene, and detecting the current respiratory parameter and the current heartbeat parameter of the monitored object in real time;
respectively comparing the current respiratory parameter with the standard respiratory parameter, and the current heartbeat parameter with the standard heartbeat parameter to respectively obtain a respiratory parameter comparison result and a heartbeat parameter comparison result;
when the breathing parameter comparison result and/or the heartbeat parameter comparison result are in an abnormal state, outputting an abnormal prompt to the monitored object and the monitored object associated terminal;
the step of determining the current standard respiratory parameter and standard heartbeat parameter of the monitored object according to the basic sign data and the target scene comprises the following steps:
acquiring basic breathing parameters and basic heartbeat parameters of a monitored object according to the basic sign data, wherein the basic breathing parameters comprise basic breathing frequency and breathing rhythm characteristics, and the basic heartbeat parameters comprise basic heartbeat frequency and heartbeat rhythm characteristics;
acquiring corresponding respiratory frequency adjustment coefficients and heartbeat frequency adjustment coefficients according to a target scene, wherein the respiratory frequency adjustment coefficients and the heartbeat frequency adjustment coefficients of a plateau scene, a motion scene, a sick scene and a conventional life scene are reduced in sequence;
taking the product of the basic respiratory frequency and the respiratory frequency adjustment coefficient as the adjusted respiratory frequency, and taking the product of the basic heartbeat frequency and the heartbeat frequency adjustment coefficient as the adjusted heartbeat frequency; and the adjusted respiratory frequency and respiratory rhythm characteristics are used as standard respiratory parameters, and the adjusted heartbeat frequency and heartbeat rhythm characteristics are used as standard heartbeat parameters.
9. The computer-readable storage medium according to claim 8, wherein the step of outputting an abnormal prompt to the monitored object and the terminal associated with the monitored object when the respiration parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state comprises:
if the target scene is a plateau scene and the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristics are abnormal, controlling an intelligent oxygen supply machine of the monitored object to increase oxygen supply;
if the target scene is a plateau scene, and the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, outputting first prompt information to prompt the monitored object to strengthen rest and take anti-altitude reaction medicines;
if the target scene is a motion scene, and the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, outputting second prompt information to prompt the monitored object to reduce the motion intensity and control the motion equipment used by the monitored object to reduce the output power;
and if the target scene is a motion scene, and the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, outputting third prompt information to prompt the monitored object to stop moving and closing the motion equipment used by the monitored object.
10. The computer-readable storage medium according to claim 8, wherein the step of outputting an abnormal prompt to the monitored object and the terminal associated with the monitored object when the respiration parameter comparison result and/or the heartbeat parameter comparison result is in an abnormal state comprises:
if the target scene is a sleep scene, if the breathing parameter comparison result is that the breathing frequency is too high and/or the breathing rhythm characteristic is abnormal, controlling the intelligent headrest of the monitored object to adjust the height in a self-adaptive manner;
if the target scene is a sleep scene, and if the heartbeat parameter comparison result is that the heartbeat frequency is too high and/or the heartbeat rhythm characteristic is abnormal, controlling the intelligent mattress used by the monitored object to adaptively adjust the sleep area support form of the monitored object.
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