CN111700602A - Physiological index abnormity alarm method and device, intelligent wearable device and storage medium - Google Patents
Physiological index abnormity alarm method and device, intelligent wearable device and storage medium Download PDFInfo
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Abstract
The invention discloses a physiological index abnormity alarm method, a physiological index abnormity alarm device, intelligent wearable equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring exercise intensity data, and judging whether the exercise intensity data meets the state detection condition; if the exercise intensity data meet the state detection condition, acquiring physiological index data by using physiological index acquisition equipment; carrying out abnormity detection on the physiological index data, and carrying out abnormity alarm operation on the physiological index when the physiological index data is in an abnormal state; according to the method, the exercise intensity of the user is monitored, and the physiological index data are acquired when the exercise intensity data meet the state detection condition, so that the physiological index data do not need to be acquired and detected in the whole process, and the power consumption of the intelligent wearable device is reduced.
Description
Technical Field
The invention relates to the technical field of intelligent wearable equipment, in particular to a physiological index abnormity alarm method, a physiological index abnormity alarm device, intelligent wearable equipment and a computer readable storage medium.
Background
At present, because intelligent wearing equipment such as intelligent bracelet has advantages such as convenient to carry, multiple functional, brings convenience for people's life, consequently is widely used. The intelligent wearable device can monitor the physiological index states of the user, such as heart rate, body temperature and the like, so that the health condition of the user can be judged according to the physiological index states, and when the physiological index is abnormal, such as the user falls down and feels uncomfortable, slowly sits down or squats down (the condition that the user falls down suddenly is referred to herein), and then gives an alarm when the user falls down or is in a coma. In order to monitor the physiological indexes of the user in real time and give an alarm in time when the physiological indexes are abnormal, the intelligent wearable device needs to acquire the physiological index data in the whole process, so that the power consumption of the intelligent wearable device is large.
Therefore, how to solve the problem that the related art needs to acquire and detect the physiological index data in the whole process, so that the power consumption of the intelligent wearable device is large is a technical problem to be solved by technical personnel in the field.
Disclosure of Invention
In view of this, the present invention provides a physiological index abnormality alarm method, a physiological index abnormality alarm device, an intelligent wearable device, and a computer-readable storage medium, which solve the problem that the related art needs to acquire and detect physiological index data in the whole process, so that the intelligent wearable device consumes more power.
In order to solve the technical problem, the invention provides a physiological index abnormity warning method, which comprises the following steps:
acquiring exercise intensity data, and judging whether the exercise intensity data meets a state detection condition;
if the exercise intensity data meet the state detection condition, acquiring physiological index data by using physiological index acquisition equipment;
and carrying out abnormity detection on the physiological index data, and carrying out abnormity alarm operation on the physiological index when the physiological index data is in an abnormal state.
Optionally, the performing abnormality detection on the physiological index data includes:
judging whether the physiological index data is in an index range or not;
if the physiological index data is within the index range, determining that the physiological index data is in a normal state;
and if the physiological index data is not in the index range, determining that the physiological index data is in the abnormal state.
Optionally, after determining that the physiological index data is in a normal state, the method further includes:
counting the detection time length, and judging whether the detection time length is greater than a preset time length or not;
and if the detection duration is longer than the preset duration, stopping acquiring the physiological index data.
Optionally, before determining whether the physiological index data is within the index range, the method further includes:
when a setting instruction is received, acquiring a plurality of initial physiological index data by using the physiological index acquisition equipment;
setting the index range using a plurality of the initial physiological index data.
Optionally, the acquiring the exercise intensity data includes:
acquiring a plurality of initial motion intensity data, and judging whether a falling event occurs by using the plurality of initial motion intensity data;
if the falling event occurs, carrying out falling alarm operation;
if the fall event does not occur, calculating average data of the plurality of initial exercise intensity data, and determining the average data as the exercise intensity data.
Optionally, the performing physiological index abnormality warning operation includes:
sending an alarm instruction to target equipment so that the target equipment can alarm;
and/or the presence of a gas in the gas,
and performing abnormal alarm operation of the physiological indexes in a sound alarm and/or luminous alarm mode.
Optionally, the method further comprises:
and when a preset alarm event is detected, carrying out abnormal alarm operation.
The invention also provides a physiological index abnormity warning device, which comprises:
the judging module is used for acquiring the exercise intensity data and judging whether the exercise intensity data meets the state detection condition;
a physiological index acquisition module, configured to acquire physiological index data by using a physiological index acquisition device if the exercise intensity data meets the state detection condition;
and the detection module is used for carrying out abnormity detection on the physiological index data and carrying out abnormity alarm operation on the physiological index when the physiological index data is in an abnormal state.
The invention also provides an intelligent wearable device, which comprises a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor is used for executing the computer program to realize the physiological index abnormity warning method.
The invention also provides a computer readable storage medium for storing a computer program, wherein the computer program is executed by a processor to implement the physiological index abnormality warning method.
The physiological index abnormity alarm method provided by the invention obtains the exercise intensity data and judges whether the exercise intensity data meets the state detection condition; if the exercise intensity data meet the state detection condition, acquiring physiological index data by using physiological index acquisition equipment; and carrying out abnormity detection on the physiological index data, and carrying out abnormity alarm operation on the physiological index when the physiological index data is in an abnormal state.
Therefore, when the exercise intensity is determined to be abnormal, namely the exercise intensity data meets the state detection condition, the physiological index data is obtained by using the physiological index obtaining equipment and is subjected to abnormal detection, and the physiological index abnormal alarm operation is performed when the physiological index is in an abnormal state. Through monitoring the exercise intensity of the user and acquiring the physiological index data when the exercise intensity data accords with the state detection condition, the physiological index data can be acquired and detected without the whole process, and the power consumption of the intelligent wearable device is reduced.
In addition, the invention also provides a physiological index abnormity alarm device, intelligent wearing equipment and a computer readable storage medium, and the physiological index abnormity alarm device, the intelligent wearing equipment and the computer readable storage medium also have the beneficial effects.
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 embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a physiological index abnormality warning method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a specific physiological index abnormality warning method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a physiological index abnormality warning device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent wearable device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions 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.
In a possible implementation manner, please refer to fig. 1, and fig. 1 is a flowchart of a physiological index abnormality warning method according to an embodiment of the present invention. The method comprises the following steps:
s101: exercise intensity data is acquired.
All or part of the steps in the embodiment of the invention can be executed by intelligent wearable equipment, and the intelligent wearable equipment can be specifically an intelligent bracelet, an intelligent watch, intelligent glasses, an intelligent ring and the like. The exercise intensity data is a parameter for indicating the current exercise intensity of the user, and may specifically be an acceleration value, or may be another parameter obtained by processing data directly acquired by the sensor, such as a calorie consumption per minute value.
The exercise intensity data can be directly acquired through the exercise sensor, or the initial data acquired by the cloud sensor can be processed to obtain the exercise intensity data. The motion sensor can be in the intelligent wearable device or connected with the intelligent wearable device. Specifically, for example, the wearable device can be directly connected with the intelligent wearable device in a wired manner, that is, the wearable device is externally fixed to the intelligent wearable device; or the motion sensor may be wirelessly connected to the intelligent wearable device, for example, the motion sensor may be located in another device or a terminal, and after acquiring data (initial data or motion intensity data), the data is sent to the intelligent wearable device through a wireless transmission device of the other device or the terminal. The specific type of the motion sensor is not limited, and may be, for example, a three-axis acceleration sensor, or may be any other sensor that can acquire motion intensity data. The motion sensor is generally a sensor adopting a passive detection mode, namely active detection is not needed, and when a user moves, the motion sensor can acquire data, so that the power consumption is generally low. The physiological index acquisition device generally needs active detection, that is, the corresponding data cannot be acquired without active detection, so that the power consumption of the device is generally large.
The present embodiment is not limited to specific conditions for obtaining the exercise intensity data, and for example, the exercise intensity data may be obtained in real time or may be obtained according to a preset period. Further, the acquisition of the exercise intensity data may be started after an acquisition instruction is detected, where the acquisition instruction may be input by a user on the intelligent wearable device or generated according to a special operation of the user on the intelligent wearable device; or may be transmitted by other devices or terminals, where the user inputs or generates the information according to the user's special operations. For example, a user can set the smart wearable device to a nursing mode on a mobile phone, at this time, the mobile phone sends an acquisition instruction to the smart wearable device, and the smart wearable device starts to acquire exercise intensity data.
S102: and judging whether the motion intensity data meet the state detection condition or not.
After the exercise intensity data is acquired, whether the exercise intensity data meets the state detection condition or not can be judged. The state detection condition is used for limiting the condition that the physiological index data needs to be acquired and judging whether the exercise intensity data is normal or not. Specifically, the state detection condition may be a detection condition, for example, when the exercise intensity data is acceleration data, the corresponding state detection condition may be an acceleration threshold or an acceleration interval; in another embodiment, the state detection condition may be a plurality of detection conditions to achieve better detection effect, for example, when the exercise intensity data is acceleration data, 24 hours of a day may be divided into a plurality of time intervals, and different acceleration thresholds or acceleration intervals may be respectively set for each time interval to achieve better detection condition. When the exercise intensity data meets the state detection condition, the process may proceed to step S103, and when the exercise intensity data does not meet the state detection condition, the process may proceed to step S105.
S103: and acquiring physiological index data by using the physiological index acquisition equipment.
If the exercise intensity data meets the state detection condition, which indicates that the exercise intensity data is not in a normal state, the body of the user may have a problem such that the user cannot maintain normal exercise, for example, feel uncomfortable to sit down, squat down, or have a faint, coma, or the like, and therefore the physiological index data is acquired by the physiological index acquisition device so as to judge whether the physiological index of the user is normal.
The physiological indicator data is used to represent a physical state of the user, which may include one or more items, which may be, for example, one or more of blood pressure, blood oxygen saturation, heart rate, body temperature, respiratory rate, and the like. The physiological index data is acquired by the physiological index acquisition equipment, the specific setting method of the physiological index acquisition equipment is similar to that of the motion sensor, the physiological index acquisition equipment can be arranged in the intelligent wearable equipment or outside the intelligent wearable equipment, and when the fact that the motion intensity data meets the state detection condition is detected, an acquisition instruction can be sent to the physiological index acquisition equipment, so that the physiological index data is acquired by the physiological index acquisition equipment.
S104: and carrying out abnormity detection on the physiological index data, and carrying out abnormity alarm operation on the physiological index when the physiological index data is in an abnormal state.
When the physiological index data is obtained, abnormality detection can be performed on the physiological index data, and the specific process of the abnormality detection is not limited, for example, when one item of the physiological index data exists, a preset range can be set, and when the physiological index data is in the preset range, the physiological index data is confirmed to be in an abnormal state; or when the physiological index data has a plurality of items, corresponding preset ranges may be set, and when the physiological index data in the corresponding preset ranges includes preset items, or when the number of items in the corresponding preset ranges is greater than the preset number, it may be determined that the physiological index data is in an abnormal state.
After the physiological index data is determined to be in an abnormal state, physiological index alarming operation can be carried out. In one embodiment, a specific alarm can be given by the intelligent wearable device itself so that other people can find the abnormality of the user; in another embodiment, the intelligent wearable device can inform other devices or terminals, and the other devices or terminals perform specific alarming so as to realize the function of remote alarming. The above two embodiments may be performed separately or may be performed simultaneously.
S105: and (5) presetting operation.
If the exercise intensity data does not meet the state detection condition, the exercise intensity data is in a normal state, the physiological index data does not need to be acquired, the preset operation can be executed at the moment, and the specific content of the preset operation can be the operation of acquiring the exercise intensity data, namely, the exercise intensity data is acquired again when the exercise intensity data does not meet the state detection condition; or may be nothing, i.e., no operation.
By applying the physiological index abnormality alarm method provided by the embodiment of the invention, the exercise intensity data corresponding to the exercise intensity of the user is used as the judgment condition for judging whether the physiological index data is acquired, and the exercise intensity under the normal condition cannot be maintained necessarily when the body of the user is improper, so that when the exercise intensity is determined to be abnormal, namely the exercise intensity data meets the state detection condition, the physiological index data is acquired by using the physiological index acquisition equipment, the abnormality detection is carried out on the physiological index data, and the physiological index abnormality alarm operation is carried out when the physiological index is in the abnormal state. The power consumption required for acquiring the exercise intensity data is smaller than that required for acquiring the physiological index data, the exercise intensity of the user is monitored, and the physiological index data is acquired when the exercise intensity data meets the state detection condition, so that the physiological index data does not need to be acquired and detected in the whole process, and the power consumption of the intelligent wearable equipment is reduced.
Based on the above embodiments, the present embodiment will explain a specific physiological index abnormality warning process. In order to respond to some special conditions in time, the system can also carry out fall alarm and abnormity alarm. Specifically, the step S101 may include:
s1011: and acquiring a plurality of initial movement intensity data, and judging whether a falling event occurs by using the plurality of initial movement intensity data.
The initial exercise intensity data is data directly acquired by the exercise sensor, and in this embodiment, a plurality of initial exercise intensity data may be acquired during acquisition, so that more accurate exercise intensity data may be obtained through subsequent calculation. The plurality of initial movement intensity data correspond to different time nodes, and the mutual interval size of the time nodes may be set according to an actual situation, which is not limited in this embodiment.
Whether the fall incident happens or not can be judged by utilizing the initial exercise intensity data, and the response is timely carried out when the fall incident happens, so that other people can timely find that the user falls. Specifically, the method for detecting the falling event may be set according to the type of the initial exercise intensity data, for example, when the initial exercise intensity data is acceleration data, the magnitude and direction of the acceleration may be detected, and when the magnitude and direction of the acceleration satisfy corresponding conditions, the falling event is determined to occur; or when the initial motion intensity data is the speed, the size and the direction of the speed can be detected, and when the size and the direction of the acceleration meet corresponding conditions, the falling event is determined to occur.
S1012: and if a falling event occurs, carrying out falling alarm operation.
For some users, such as the elderly, pregnant women, patients and other people, falling is a very serious wound and needs to be checked in time, so that after falling time is detected, falling alarm operation can be performed without performing judgment on whether follow-up physiological index data is abnormal or not. The specific methods of the fall alarm operation and the physiological index abnormality alarm operation may be the same or different, and the specific method of the fall alarm operation is not limited in this embodiment.
S1013: if no fall event occurs, calculating average data of the plurality of initial exercise intensity data, and determining the average data as the exercise intensity data.
If no fall event occurs, the exercise intensity data can be obtained by calculating the average data of a plurality of initial exercise intensity data, so as to improve the detection accuracy.
In one embodiment, a preset alarm event can be set, and when the preset alarm event is detected, an abnormal alarm operation is performed. The preset alarm event can be set according to the type and actual needs of the intelligent wearable device, for example, the preset duration can be reached by long-pressing a target button, the preset times can be reached by continuously clicking a target area, the intelligent wearable device is shaken according to a preset mode, and the like. At this time, it can be considered that the user needs to ask for help, for example, when the user sits down slowly (not falls) due to physical discomfort, and the user feels discomfort when the physiological index is still in a normal state, and abnormal alarm operation can be performed through a preset alarm event. Under some special conditions, the alarm can be given in time according to the needs of the user, and the alarm flexibility is improved. The embodiment does not limit the timing for executing the steps, and the abnormal alarm operation can be performed when the preset alarm event is detected at any time.
In one embodiment, the step of performing anomaly detection on the physiological index data may include:
step 11: and judging whether the physiological index data is in the index range.
Step 12: and if the physiological index data is within the index range, determining that the physiological index data is in a normal state.
Step 13: and if the physiological index data is not in the index range, determining that the physiological index data is in an abnormal state.
By setting the corresponding index range, the physiological index data can be clearly judged. Further, before step 11, the method may further include:
step 14: and when a setting instruction is received, acquiring a plurality of initial physiological index data by using a physiological index acquisition device.
Step 15: and setting an index range by using a plurality of initial physiological index data.
The setting of the index range according to the individual situation of the user, i.e. the setting of the index range according to the initial physiological index data, can be performed by using steps 14 and 15. On the basis of the above, other user information such as age, sex, medical history information, etc. can be acquired to set the index range according to the user information and the initial physiological index data.
In one embodiment, after determining that the physiological index data is in a normal state, the method may further include:
step 16: counting the detection time length, and judging whether the detection time length is greater than a preset time length;
and step 17: and if the detection time length is longer than the preset time length, stopping acquiring the physiological index data.
When the physiological index data are determined to be normal, the time for acquiring the physiological index data can be limited in a mode of counting the detection time, when the detection time reaches the preset time, the body of the user can be considered to be abnormal, and in order to reduce power consumption, the acquisition of the physiological index data of the user can be stopped when the detection time is longer than the preset time.
In one embodiment, the step of performing the physiological index abnormality warning operation may include:
step 21: sending an alarm instruction to the target equipment so as to alarm the target equipment;
and/or the presence of a gas in the gas,
step 22: and performing physiological index abnormal alarm operation in a sound alarm and/or luminous alarm mode.
In order to ensure the alarm effect, the method of step 21 and step 22 may be used to alarm at the same time, or only one of the alarm modes may be used to alarm as required, which is not limited in this embodiment.
Based on the above embodiments, the present embodiment will explain a specific physiological index abnormality warning process. Referring to fig. 2, fig. 2 is a flowchart of a specific physiological index abnormality warning method according to an embodiment of the present invention.
After the start, the gsensor data is collected, and the gsensor data is the acceleration sensor data and is used as the initial motion intensity data. After the gsensor data are obtained, whether the user has monitored falling can be judged by the gsensor data, if the user has detected falling, the user is informed to send an alarm, and then falling alarm is carried out. When the user does not fall down, whether the user-defined action is identified can be judged, and when the user-defined action is identified, the mobile phone is informed to send out an alarm, namely, abnormal alarm operation is carried out. When not identified, the exercise intensity in the continuous N seconds can be calculated, namely the corresponding exercise intensity data is calculated by using the initial exercise intensity data in the N seconds. When the exercise intensity data is smaller than the minimum threshold value, determining that the exercise intensity data meets the state detection condition, starting heart rate monitoring, namely acquiring physiological index data by using physiological index acquisition equipment, judging whether the heart rate value is normal or not, and if not, informing a mobile phone to send an alarm, namely performing abnormal alarm operation on the physiological index.
In the following, the physiological index abnormality warning device provided by the embodiment of the present invention is introduced, and the physiological index abnormality warning device described below and the physiological index abnormality warning method described above may be referred to in correspondence with each other.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a physiological index abnormality warning device according to an embodiment of the present invention, including:
the judging module 110 is configured to obtain the exercise intensity data, and judge whether the exercise intensity data meets the state detection condition;
a physiological index obtaining module 120, configured to obtain physiological index data by using a physiological index obtaining device if the exercise intensity data meets the state detection condition;
the detecting module 130 is configured to perform abnormality detection on the physiological index data, and perform an alarm operation on physiological index abnormality when the physiological index data is in an abnormal state.
Optionally, the detection module 130 includes:
the range judging unit is used for judging whether the physiological index data is in the index range or not;
the normal determining unit is used for determining that the physiological index data is in a normal state if the physiological index data is in the index range;
and the abnormality determining unit is used for determining that the physiological index data is in an abnormal state if the physiological index data is not in the index range.
Optionally, the method further comprises:
the time length counting module is used for counting the detection time length and judging whether the detection time length is greater than the preset time length;
and the acquisition stopping module is used for stopping acquiring the physiological index data if the detection duration is greater than the preset duration.
Optionally, the method further comprises:
the system comprises an initial data acquisition module, a physiological index acquisition module and a data processing module, wherein the initial data acquisition module is used for acquiring a plurality of initial physiological index data by using a physiological index acquisition device when a setting instruction is received;
and the range setting module is used for setting the index range by utilizing a plurality of initial physiological index data.
Optionally, the determining module 110 includes:
the falling judging unit is used for acquiring a plurality of initial motion intensity data and judging whether a falling event occurs or not by utilizing the plurality of initial motion intensity data;
the falling alarm unit is used for carrying out falling alarm operation if a falling event occurs;
and the average data calculating unit is used for calculating average data of the plurality of initial exercise intensity data if no fall event occurs, and determining the average data as the exercise intensity data.
Optionally, the detection module 130 includes:
the first alarm unit is used for sending an alarm instruction to the target equipment so as to alarm the target equipment;
and/or the presence of a gas in the gas,
and the second alarm unit is used for performing abnormal alarm operation of the physiological indexes in a sound alarm and/or luminous alarm mode.
Optionally, the method further comprises:
and the abnormity alarm module is used for carrying out abnormity alarm operation when a preset alarm event is detected.
In the following, the intelligent wearable device provided by the embodiment of the present invention is introduced, and the intelligent wearable device described below and the physiological index abnormality alarm method described above may be referred to correspondingly.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an intelligent wearable device according to an embodiment of the present invention. Wherein the smart wearable device 100 may include a processor 101 and a memory 102, and may further include one or more of a multimedia component 103, an information input/information output (I/O) interface 104, and a communication component 105.
The processor 101 is configured to control the overall operation of the intelligent wearable device 100 to complete all or part of the steps in the physiological index abnormality alarm method; memory 102 is used to store various types of data to support operation at smart-wearable device 100, which may include, for example, instructions for any application or method operating on smart-wearable device 100, as well as application-related data. The Memory 102 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as one or more of Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The multimedia component 103 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 102 or transmitted through the communication component 105. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 104 provides an interface between the processor 101 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. Communication component 105 is used for wired or wireless communication between intelligent wearable device 100 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding Communication component 105 may include: Wi-Fi part, Bluetooth part, NFC part.
The smart wearable Device 100 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, and is configured to perform the physiological index abnormality warning method according to the above embodiments.
In the following, the computer-readable storage medium provided by the embodiment of the present invention is introduced, and the computer-readable storage medium described below and the physiological index abnormality warning method described above may be referred to correspondingly.
The invention also provides a computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the above physiological index abnormality warning method.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, herein, relationships such as first and second, etc., are intended only to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms include, or any other variation is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that includes 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 apparatus.
The physiological index abnormality alarm method, the physiological index abnormality alarm device, the intelligent wearable device and the computer-readable storage medium provided by the invention are described in detail, specific examples are applied in the text to explain the principle and the implementation mode of the invention, and the description of the above embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A physiological index abnormity warning method is characterized by comprising the following steps:
acquiring exercise intensity data, and judging whether the exercise intensity data meets a state detection condition;
if the exercise intensity data meet the state detection condition, acquiring physiological index data by using physiological index acquisition equipment;
and carrying out abnormity detection on the physiological index data, and carrying out abnormity alarm operation on the physiological index when the physiological index data is in an abnormal state.
2. The physiological index abnormality warning method according to claim 1, wherein the abnormality detection of the physiological index data includes:
judging whether the physiological index data is in an index range or not;
if the physiological index data is within the index range, determining that the physiological index data is in a normal state;
and if the physiological index data is not in the index range, determining that the physiological index data is in the abnormal state.
3. The physiological index abnormality warning method according to claim 2, further comprising, after determining that the physiological index data is in a normal state:
counting the detection time length, and judging whether the detection time length is greater than a preset time length or not;
and if the detection duration is longer than the preset duration, stopping acquiring the physiological index data.
4. The physiological index abnormality warning method according to claim 2, before determining whether the physiological index data is within an index range, further comprising:
when a setting instruction is received, acquiring a plurality of initial physiological index data by using the physiological index acquisition equipment;
setting the index range using a plurality of the initial physiological index data.
5. The physiological index abnormality warning method according to claim 1, wherein the acquiring of the exercise intensity data includes:
acquiring a plurality of initial motion intensity data, and judging whether a falling event occurs by using the plurality of initial motion intensity data;
if the falling event occurs, carrying out falling alarm operation;
if the fall event does not occur, calculating average data of the plurality of initial exercise intensity data, and determining the average data as the exercise intensity data.
6. The physiological index abnormality warning method according to claim 1, wherein the performing of the physiological index abnormality warning operation includes:
sending an alarm instruction to target equipment so that the target equipment can alarm;
and/or the presence of a gas in the gas,
and performing abnormal alarm operation of the physiological indexes in a sound alarm and/or luminous alarm mode.
7. The physiological index abnormality warning method according to claim 1, further comprising:
and when a preset alarm event is detected, carrying out abnormal alarm operation.
8. A physiological index abnormality warning device is characterized by comprising:
the judging module is used for acquiring the exercise intensity data and judging whether the exercise intensity data meets the state detection condition;
a physiological index acquisition module, configured to acquire physiological index data by using a physiological index acquisition device if the exercise intensity data meets the state detection condition;
and the detection module is used for carrying out abnormity detection on the physiological index data and carrying out abnormity alarm operation on the physiological index when the physiological index data is in an abnormal state.
9. The utility model provides an intelligence wearing equipment which characterized in that, includes memory and treater, wherein:
the memory is used for storing a computer program;
the processor is configured to execute the computer program to implement the physiological indicator abnormality warning method according to any one of claims 1 to 7.
10. A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements a physiological indicator abnormality alerting method as defined in any one of claims 1 to 7.
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