CN116849629B - Wearable monitoring terminal and health monitoring intelligent calling system - Google Patents
Wearable monitoring terminal and health monitoring intelligent calling system Download PDFInfo
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Classifications
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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
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- 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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
- G08B3/1008—Personal calling arrangements or devices, i.e. paging systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Abstract
The invention discloses a wearable monitoring terminal and a health monitoring intelligent calling system, and relates to the technical field of intelligent wearable equipment. The invention comprises a control unit and a control unit, wherein the control unit is also used for obtaining comprehensive indexes of the body according to multiple indexes of the body and the acquisition time of the multiple indexes; obtaining the change rate of each index and the comprehensive index of the body according to each index and the comprehensive index of the body and the corresponding time; obtaining the number of times of the cooperation monitoring corresponding to the indexes of each body in the body change period according to the number of times of the cooperation monitoring acceptable by the user, each index and comprehensive index of the body and the corresponding time; compiling a sensor control instruction according to the number of times of matched monitoring corresponding to each body index in a body change period; the sensing unit is also used for receiving and executing the sensor control instruction; and the interaction unit is used for receiving and reminding a user to execute the sensor control instruction in a matched mode. The invention reduces the interference to the user on the premise of ensuring the comprehensive and accurate monitoring result.
Description
Technical Field
The invention belongs to the technical field of intelligent wearing equipment, and particularly relates to a wearing monitoring terminal and a health monitoring intelligent calling system.
Background
A health monitoring system is a system that can monitor individual physiological indicators for the purpose of early detection of health problems and intervention. Such a system is particularly suitable for elderly, chronically ill patients and individuals requiring long-term monitoring.
As a portable health monitoring device, wearable devices have been widely used for individual health monitoring. These devices are capable of monitoring physiological parameters of a user (e.g., heart rate, blood pressure, blood glucose, body temperature, etc.), and these data may be transmitted over the internet to a healthcare provider for evaluation and analysis. However, there are physiological information that requires the user to coordinate with the measurement of, for example, blood glucose, uric acid, blood lipid, and heart rate of different exercise intensities, and if the user is required to coordinate with the frequent collection of such data, there is a marginal diminishing effect on the monitoring effect and the user is also disturbed.
Disclosure of Invention
The invention aims to provide a wearable monitoring terminal and a health monitoring intelligent calling system, which are used for analyzing a monitoring history of a user body to make a more reliable monitoring plan, so that the interference to the user is reduced on the premise of ensuring the comprehensive and accurate monitoring result.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention provides a wearable monitoring terminal, comprising,
the sensing unit is used for acquiring multiple indexes of the body;
the control unit is used for receiving the body multiple indexes and recording corresponding acquisition time;
obtaining the body change period according to the body multiple indexes and the acquisition time of the body multiple indexes;
the input unit is used for acquiring the number of times of matching monitoring acceptable to a user in a body change period;
the control unit is also used for obtaining comprehensive indexes of the body according to the multiple indexes of the body and the acquisition time of the multiple indexes;
obtaining the change rate of each index and the comprehensive index of the body according to each index and the comprehensive index of the body and the corresponding time;
obtaining the number of times of the cooperation monitoring corresponding to the indexes of each body in the body change period according to the number of times of the cooperation monitoring acceptable by a user, each index and comprehensive index of the body and the corresponding time;
compiling a sensor control instruction according to the number of times of matched monitoring corresponding to each body index in the body change period;
the sensing unit is also used for receiving and executing the sensor control instruction;
and the interaction unit is used for receiving and reminding a user to execute the sensor control instruction in a matched mode.
The invention also discloses a health monitoring intelligent calling system, which comprises,
the wearable monitoring terminal; the method comprises the steps of,
and the server side is used for receiving the information uploaded by the wearable monitoring terminal.
According to the invention, an accurate body monitoring plan is formulated through historical record analysis, so that the interference to the user is reduced. In the specific implementation process, a sensing unit is used for collecting a plurality of body indexes, and a control unit records the indexes and the acquisition time, so that the body change period is obtained. The input unit acquires the acceptable monitoring times of the user in the change period, and the control unit generates the comprehensive index. And calculating the index change rate according to each item, the comprehensive index and the time. And combining the monitoring times acceptable by the user, formulating the monitoring times of each index in the change period, and compiling a sensor control instruction according to the monitoring times. And finally, the sensing unit receives and executes the instruction, and the interaction unit reminds the user to cooperate with the instruction. Thus comprehensively and accurately reflecting the physical state of the user under the condition of collecting the physical indexes for a limited time.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of functional modules and information flow of a wearable monitoring terminal according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of functional modules and information flow of a health monitoring intelligent call system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating an implementation flow of a wearable monitoring terminal according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating an implementation of the step S3 according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating an implementation of step S33 according to an embodiment of the present invention;
FIG. 6 is a flowchart showing a step S5 according to an embodiment of the present invention;
FIG. 7 is a second flowchart illustrating an implementation of the step S5 according to an embodiment of the present invention;
FIG. 8 is a flowchart showing a step S524 according to an embodiment of the present invention;
FIG. 9 is a second flowchart illustrating an implementation of step S524 according to an embodiment of the present invention;
FIG. 10 is a flowchart illustrating an implementation of the step S7 according to an embodiment of the invention;
fig. 11 is a schematic flow chart illustrating the implementation of step S73 according to an embodiment of the invention.
In the drawings, the list of components represented by the various numbers is as follows:
1-sensing unit, 2-control unit, 3-input unit, 4-interaction unit, 5-server side.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to reduce the disturbing times to the user as much as possible on the premise of ensuring accurate body monitoring, the invention provides the following scheme.
Referring to fig. 1, the present invention provides a wearable monitoring terminal, which may be a wristband, an intelligent watch, or other intelligent wearable devices with body monitoring function in practical application. The division from the functional modules may comprise a sensing unit 1, a control unit 2, an input unit 3 and an interaction unit 4. The sensing unit 1 may be various body monitoring sensors. The control unit 2 may be various special-purpose or general-purpose computing chips. The input unit 3 may be a touch screen. The interaction unit 4 may also be a touch screen.
Referring to fig. 2, the present solution also discloses a health monitoring intelligent calling system, where the wearable monitoring terminal and the server 5 capable of protecting mutual communication interaction are divided from the functional modules. The server 5 receives the information uploaded by the wearable monitoring terminal, analyzes the information uploaded by the wearable monitoring terminal and gives an early warning to the user.
Referring to fig. 3, the present embodiment further specifically discloses a method for implementing the wearable monitoring terminal, in which the sensing unit 1 executes step S1 to obtain multiple indexes of the body. Step S2 may then be performed by the control unit 2 to receive the body multiple indicators and record the corresponding acquisition time. Finally, step S3 may be performed to obtain a body change period according to the body multiple indexes and the acquisition time thereof, that is, the overall change period of the body various indexes.
The input unit 3 then executes step S4 to obtain the number of times of cooperation monitoring acceptable to the user in the body change period, which may be a default setting of the system or may be set by the user. Step S5 may then be performed by the control unit 2 to obtain a comprehensive body indicator from the body multiple indicators and the acquisition time thereof. Step S6 may be performed to obtain the rate of change of the various indices and the integrated index of the body according to the various indices and the integrated index of the body and the corresponding time. Step S7 can be executed to obtain the number of times of the cooperation monitoring corresponding to the indexes of each body in the body change period according to the number of times of the cooperation monitoring acceptable by the user, each index of the body, the comprehensive index and the corresponding time. And finally, step S8 can be executed to compile a sensor control instruction according to the number of times of the cooperation monitoring corresponding to the indexes of each body in the body change period.
The sensor unit 1 receives and executes the sensor control command in the execution process in step S9, and the interaction unit 4 receives and prompts the user to cooperate with the execution of the sensor control command in step S10.
In the implementation process, the physical monitoring plan can be accurately set through the history record, so that inconvenience of a user is reduced. The sensing unit collects body indexes, the control unit records each index and the collection time, and the body change period is identified. The input unit obtains the monitoring times accepted by the user in the period, and the control unit generates the comprehensive index. And calculating the index change speed by combining various items with comprehensive indexes and time. And determining the monitoring frequency of each index in the period according to the monitoring times acceptable by the user, and formulating a sensor control instruction. Finally, the sensor executes the instruction, and the interaction unit prompts the user to cooperate. Thus, the physical state of the user can be accurately reflected under the limited acquisition times.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
Referring to fig. 4, in order to obtain the period of the body change of the user, the period of the body change needs to be comprehensively considered and comprehensively analyzed. Therefore, in the implementation process of the step S3, the step S31 may be executed to acquire a plurality of variation periods of the body indexes according to the body indexes and the acquisition time thereof. Step S32 may be performed to obtain a maximum variation period and a minimum variation period of each of the body 'S indices from a plurality of variation periods of each of the body' S indices. Finally, step S33 may be executed to obtain a body change period according to the maximum change period and the minimum change period of each index of the body.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
Referring to fig. 5, since the variation period of each index of the body has randomness, that is, varies within a certain range, in order to reduce the duration of the identity variation period as much as possible to reduce the difficulty of subsequent analysis, step S33 may be executed in the specific implementation process to obtain the variation period range of each index of the body according to the maximum variation period and the minimum variation period of each index of the body in step S331. Step S332 may be performed to extract, from the range of the variation periods of the respective indexes of the body, an arbitrary value as the considered variation period of the corresponding index, respectively, so that the least common divisor of the considered variation period of the respective indexes of the body is minimum. Finally, step S333 may be executed to treat the least common divisor of the body 'S various indexes as the body' S change cycle.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
Referring to fig. 6, since the monitoring indexes of the body may be very various, in order to obtain an index with comprehensive and comprehensive properties and sufficient representativeness as the comprehensive index of the body, step S5 may be performed first to obtain the average value of the indexes of the body in unit time according to the indexes of the body and the obtaining time thereof in the implementation process. Step S512 may be performed to obtain importance adjustment parameters of the body indexes, where the importance adjustment parameters are set by the manager according to the set importance levels of the body indexes. Finally, step S513 may be executed to calculate a weighted average or a weighted accumulated value of the various indexes of the body in unit time as the comprehensive index of the body according to the importance adjustment parameters of the various indexes of the body.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
Referring to fig. 7, in the step S511 to step S513, the body index with a smaller value may be ignored, so that the body index is not sufficiently representative, and in this regard, step S5 may be implemented by first performing step S521 to obtain the acquisition time of each index according to the body index and the acquisition time thereof in a unit time as the real data acquisition time. Step S522 may be performed to acquire a fitting function of the body indexes with respect to time in a unit time according to the body indexes and the acquisition time thereof. Step S523 may be performed to obtain each index corresponding to each real data acquisition time in the unit time according to the fitting function of each index of the body in the unit time with respect to time. Step S524 may be performed to select each index corresponding to the feature time among the indexes corresponding to the real data acquisition time. Finally, step S525 may be executed to calculate the weighted average or weighted accumulated value of the various indexes corresponding to the feature time as the comprehensive index of the body according to the importance adjustment parameters of the various indexes of the body.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
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Referring to fig. 8, in order to select a sufficiently representative index combination from the indexes corresponding to the real data acquisition time, step S52411 may be executed in the specific implementation process to arrange the indexes corresponding to each real data acquisition time in the same order to obtain the index vector of each real data acquisition time. Next, step S52412 may be performed to arbitrarily extract two of the index vectors at all the real data acquisition timings as reference index vectors. Step S52413 may then be performed to obtain the modulo length of the vector differences of the other index vector and the two reference index vectors, respectively. Step S52414 may then be performed to divide the other index vectors into the same vector group as the reference index vector having the smallest vector difference modulo length for each other index vector. Next, step S52415 may be executed to set a vector group including a larger number of index vectors as the target vector group. Finally, step S52416 may be executed to obtain each index corresponding to the mean value vector of the target vector group as each index corresponding to the selected feature moment.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
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Referring to fig. 9, the above schemes in steps S52411 to S52416 only divide the indexes corresponding to the real data acquisition time into two vector groups, but in practice, the indexes may be divided into one or more vector groups. In view of this, step S524 may be performed in the implementation process by first performing step S52421 to acquire the index vector of each real data acquisition time. Step S52422 may be performed next to arbitrarily extract a number of index vectors among all the index vectors at the actual data acquisition time as reference index vectors. Step S52423 may then be performed to obtain the modulo length of the vector differences of the other index vectors and the reference index vector, respectively. Step S52424 may be performed to divide the other index vectors into the same vector group as the reference index vector having the smallest vector difference modulus length for each other index vector. Step S52425 may then be performed to obtain, in each vector group, an index vector having the smallest mean vector difference modulus length from all index vectors in the vector group as the updated reference index vector. Step S52426 may be performed to update the vector group according to the difference modulo length of the updated reference index vector and the other index vectors. Step S52427 may then be performed to determine whether the updated reference index vector in the vector group has changed. If yes, the step S52425 to the step S52427 may be executed again to continuously update the reference index vector and the vector group and determine, if not, the step S52428 may be executed again to use each index corresponding to each reference index vector as each index corresponding to the selected feature time.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
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Referring to fig. 10, the indexes of different items of the body have different degrees of importance, and are reflected to a certain extent in the degree of variation of the indexes. In view of this, in the implementation of step S7, step S71 may be performed first to obtain the fluctuation range of the integrated index in each unit time in the body change period according to the integrated index of the body and the corresponding time. Step S72 may be executed to allocate the number of times of the cooperation monitoring acceptable to the user in the corresponding time according to the ratio between the fluctuation amplitudes of the comprehensive indexes in each unit time, so as to obtain the number of times of the cooperation monitoring in each unit time. Finally, step S73 may be executed to allocate the number of times of the coordinated monitoring in each unit time according to each index of the body and the corresponding time, so as to obtain the number of times of the coordinated monitoring corresponding to each index of the body in the body change period.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
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The code segment firstly calculates the fluctuation amplitude of the comprehensive index in each unit time, and then distributes the acceptable monitoring times of the user according to the ratio of the fluctuation amplitudes. And finally, calculating the corresponding coordination monitoring times of each index in the body change period by using the allocated monitoring times.
Handling of outliers may also be included in the actual application, or any error handling or input verification. More complex processing or adjustments may be required depending on the actual needs.
Referring to fig. 11, in order to allocate the number of times of the cooperation monitoring in each unit time, step S73 may be performed first to acquire each index value of the body in step S731. Step S732 may be performed to obtain a monitoring interval time of each index value of the body according to each index of the body and the corresponding time. Step S733 may be performed next to take the difference of each index value from the adjacent preceding index value as the monitoring fluctuation value of the index value. Step S734 may be performed next to take the ratio of the monitored fluctuation value of the index value to the corresponding monitoring interval time as the fluctuation ratio of each index value. Step S735 may be performed to obtain the fluctuation rate of each index of the body from the mean, variance, or standard deviation of the fluctuation rates of all index values in each index of the body. Finally, step S736 may be executed to allocate the number of times of coordinated monitoring in each unit time according to the ratio between the fluctuation rates of the various indexes of the body, so as to obtain the number of times of coordinated monitoring corresponding to the various indexes of the body in the body change period.
To supplement the above steps, source code of some functional modules of the above steps is provided and explained in the annotation section.
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The code firstly acquires specific each index value in various indexes of the body in each unit time, then calculates the monitoring interval time of the specific each index value in various indexes of the body, and further calculates the monitoring fluctuation value of the index value. Then, the ratio of the monitored fluctuation value of the index value to the corresponding monitored interval time is used as the fluctuation ratio of each index value. Next, the code calculates the mean, variance and standard deviation of the fluctuation rate of each index of the body, and these three statistics are used to describe the distribution of the fluctuation rate. And finally, distributing the times of the matched monitoring in each unit time according to the ratio of the fluctuation rates of the various indexes of the body, so as to obtain the times of the matched monitoring corresponding to the various indexes of the body in the body change period.
In summary, the method and the device utilize the history record to accurately make the body monitoring plan so as to reduce the influence on the user. In particular, the sensing unit collects various body indexes, and the control unit is responsible for recording the indexes and the acquisition time thereof, so as to identify the period of the body change. The input unit acquires the number of monitoring times the user is willing to accept in the period, and the control unit generates the comprehensive index. After each item and the comprehensive index and the corresponding time are obtained, the change speed of the index can be calculated. The monitoring frequency of each index in the change period can be made by integrating the monitoring times which the user is willing to accept, and the control instruction of the sensor can be made according to the monitoring frequency. Finally, the sensor executes the received control instruction, and the interaction unit prompts the user to cooperate with the execution of the control instruction. Through the flow, the physical condition of the user can be comprehensively and accurately reflected under limited data acquisition.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by hardware, such as circuits or ASICs (application specific integrated circuits, application Specific Integrated Circuit), which perform the corresponding functions or acts, or combinations of hardware and software, such as firmware, etc.
Although the invention is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
The embodiments of the present application have been described above, the foregoing description is exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (8)
1. A wearable monitoring terminal is characterized by comprising,
the sensing unit is used for acquiring multiple indexes of the body;
the control unit is used for receiving the body multiple indexes and recording corresponding acquisition time;
obtaining the body change period according to the body multiple indexes and the acquisition time of the body multiple indexes;
the input unit is used for acquiring the number of times of matching monitoring acceptable to a user in a body change period;
the control unit is also used for obtaining comprehensive indexes of the body according to the multiple indexes of the body and the acquisition time of the multiple indexes;
obtaining the change rate of each index and the comprehensive index of the body according to each index and the comprehensive index of the body and the corresponding time;
obtaining the number of times of the cooperation monitoring corresponding to the indexes of each body in the body change period according to the number of times of the cooperation monitoring acceptable by a user, each index and comprehensive index of the body and the corresponding time;
compiling a sensor control instruction according to the number of times of matched monitoring corresponding to each body index in the body change period;
the sensing unit is also used for receiving and executing the sensor control instruction;
the interaction unit is used for receiving and reminding a user to execute the sensor control instruction in a matched mode;
wherein,
the step of obtaining the number of times of the cooperation monitoring corresponding to the indexes of each body in the body change period according to the number of times of the cooperation monitoring acceptable by the user, each index of the body, the comprehensive index and the corresponding time, comprises,
obtaining the fluctuation amplitude of the comprehensive index in each unit time in the body change period according to the comprehensive index of the body and the corresponding time;
distributing the times of the cooperation monitoring acceptable by the user in the corresponding time according to the ratio between the fluctuation amplitudes of the comprehensive indexes in each unit time to obtain the times of the cooperation monitoring in each unit time;
distributing the number of times of the matched monitoring in each unit time according to each index of the body and the corresponding time to obtain the number of times of the matched monitoring corresponding to each index of the body in the body change period;
the step of distributing the number of times of the matched monitoring in each unit time according to each index of the body and the corresponding time to obtain the number of times of the matched monitoring corresponding to each index of the body in the body change period comprises the steps of,
in each of the unit times of the time,
acquiring specific index values of each index of the body;
obtaining the monitoring interval time of each index value in the body indexes according to the body indexes and the corresponding time;
taking the difference value of each index value and the adjacent preceding index value as a monitoring fluctuation value of the index value;
taking the ratio of the monitoring fluctuation value of the index value to the corresponding monitoring interval time as the fluctuation rate of each index value;
obtaining the fluctuation rate of each index of the body according to the mean value, variance or standard deviation of the fluctuation rate of all index values in each index of the body;
and distributing the times of the matched monitoring in each unit time according to the ratio of the fluctuation rates of the various indexes of the body to obtain the times of the matched monitoring corresponding to the various indexes of the body in the body change period.
2. The wearable monitoring terminal according to claim 1, wherein the step of obtaining the body change period from the body multiple indicators and the acquisition time thereof comprises,
acquiring a plurality of change periods of each index of the body according to each index of the body and the acquisition time of each index of the body;
obtaining the maximum change period and the minimum change period of each index of the body according to a plurality of change periods of each index of the body;
and obtaining the body change period according to the maximum change period and the minimum change period of each index of the body.
3. The wearable monitoring terminal according to claim 2, wherein the step of obtaining the body change period from the maximum change period and the minimum change period of each index of the body comprises,
obtaining the change period range of each index of the body according to the maximum change period and the minimum change period of each index of the body;
extracting any value from the range of the change period of each index of the body as the considered change period of the corresponding index, so that the least common divisor of the considered change period of each index of the body is minimum;
and taking the least common divisor of each index of the body regarded as the change period of the body.
4. The wearable monitoring terminal according to claim 1, wherein the step of obtaining the comprehensive body index from the body indexes and the acquisition time thereof comprises,
obtaining the average value of various indexes of the body in unit time according to various indexes of the body and the acquisition time of the indexes;
acquiring importance adjusting parameters of various indexes of the body, wherein the importance adjusting parameters are set by a manager according to the set importance degree of the various indexes of the body;
according to the importance adjusting parameters of the various indexes of the body, calculating the weighted average value or the weighted accumulated value of the various indexes of the body in unit time as the comprehensive indexes of the body.
5. The wearable monitoring terminal according to claim 1, wherein the step of obtaining the comprehensive body index from the body indexes and the acquisition time thereof comprises,
acquiring the acquisition time of each index as the real data acquisition time according to the multiple indexes of the body in unit time and the acquisition time of the multiple indexes;
acquiring fitting functions of various indexes of the body in unit time with respect to time according to various indexes of the body and acquisition time of the indexes;
obtaining each index corresponding to each real data acquisition moment in unit time according to a fitting function of each index of the body in unit time with respect to time;
selecting various indexes corresponding to the characteristic moment from various indexes corresponding to the real data acquisition moment;
and calculating a weighted average value or a weighted accumulated value of each index corresponding to the characteristic moment as a comprehensive index of the body according to the importance adjusting parameters of each index of the body.
6. The wearable monitoring terminal according to claim 5, wherein the step of selecting the respective index corresponding to the characteristic time from the respective indexes corresponding to the real data acquisition time comprises,
arranging all indexes corresponding to each real data acquisition time according to the same sequence to obtain an index vector of each real data acquisition time;
any two index vectors at all the real data acquisition moments are extracted to serve as reference index vectors;
obtaining the modular length of the vector differences between the other index vectors and the two reference index vectors respectively;
for each other index vector, dividing the other index vector and the reference index vector with the minimum vector difference module length into the same vector group;
taking the vector group with a large number of the index vectors as a target vector group;
and acquiring all indexes corresponding to the mean value vector of the target vector group as all indexes corresponding to the characteristic moment.
7. The wearable monitoring terminal according to claim 5, wherein the step of selecting the respective index corresponding to the characteristic time from the respective indexes corresponding to the real data acquisition time comprises,
acquiring an index vector of each real data acquisition moment;
randomly extracting a plurality of index vectors serving as reference index vectors from all index vectors at the real data acquisition time;
obtaining the modular length of the vector differences between the other index vectors and the reference index vector respectively;
for each other index vector, dividing the other index vector and the reference index vector with the minimum vector difference module length into the same vector group;
obtaining an index vector with the minimum mean vector difference modulus length from all index vectors in the vector group in each vector group as an updated reference index vector;
updating the vector group according to the difference modular length of the updated reference index vector and other index vectors;
judging whether the updated reference index vector in the vector group changes or not;
if yes, continuously updating the reference index vector and the vector group;
if not, taking each index corresponding to each reference index vector as each index corresponding to the characteristic moment of selection.
8. A health monitoring intelligent calling system is characterized by comprising,
the wearable monitoring terminal of any of claims 1 to 7; the method comprises the steps of,
and the server side is used for receiving the information uploaded by the wearable monitoring terminal.
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