CN109979594A - Data processing method and its system, computer system and readable storage medium storing program for executing - Google Patents
Data processing method and its system, computer system and readable storage medium storing program for executing Download PDFInfo
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Abstract
Present disclose provides a kind of data processing methods, comprising: is directed to predetermined physiological characteristic, obtains the first physiological characteristic data and the second physiological characteristic data of user, wherein the first physiological characteristic data is historical data, and the second physiological characteristic data is current data；The first physiological characteristic data is analyzed and processed using pre-defined algorithm, obtains the load range that user is directed to predetermined physiological characteristic；According to load range, the max-thresholds range that user is currently directed to predetermined physiological characteristic institute energy load is calculated；And compare the second physiological characteristic data and max-thresholds range, to determine the current body burden state of user.The disclosure additionally provides a kind of data processing system, a kind of computer system and a kind of readable storage medium storing program for executing.
Description
Technical field
This disclosure relates to data processing field, more particularly, to a kind of data processing method and its system, department of computer science
System and readable storage medium storing program for executing.
Background technique
With the continuous improvement of living standard and spiritual life level, more and more people begin to focus on the strong of oneself
Health situation, thus movement is increasingly becoming a kind of fashion.
The good method of scientific and reasonable movement really taken exercises still improperly moves and often brings accidental wound
Evil, and excess load movement results even in cardiac insufficiency, respiratory arrest, sudden death etc..
During realizing disclosure design, at least there are the following problems in the related technology: related skill for inventor's discovery
The physiological data that user generates during the motion cannot be effectively analyzed in art, cause user that cannot reasonably adjust current
Physiological status brings unnecessary injury to user.
Summary of the invention
In view of this, present disclose provides a kind of data processing method and its systems, computer system and readable storage medium
Matter.
An aspect of this disclosure provides a kind of data processing method, including is directed to predetermined physiological characteristic, obtains user
The first physiological characteristic data and the second physiological characteristic data, wherein above-mentioned first physiological characteristic data be historical data, it is above-mentioned
Second physiological characteristic data is current data；Above-mentioned first physiological characteristic data is analyzed and processed using pre-defined algorithm, is obtained
The load range of above-mentioned predetermined physiological characteristic is directed to above-mentioned user；According to above-mentioned load range, the current needle of above-mentioned user is calculated
To above-mentioned predetermined physiological characteristic can load max-thresholds range；And more above-mentioned second physiological characteristic data and it is above-mentioned most
Big threshold range, with the current body burden state of the above-mentioned user of determination.
In accordance with an embodiment of the present disclosure, more above-mentioned second physiological characteristic data and above-mentioned max-thresholds range, with determination
If the current body burden state of above-mentioned user include: above-mentioned second physiological characteristic data fall in above-mentioned max-thresholds range it
It is interior, it is determined that the current body burden state of above-mentioned user is normal load condition；If above-mentioned second physiological characteristic data is fallen in
Maximum value except above-mentioned max-thresholds range and greater than above-mentioned max-thresholds range, it is determined that the current body of above-mentioned user is negative
Lotus state is overload state；And if above-mentioned second physiological characteristic data falls in except above-mentioned max-thresholds range and is less than upper
State the minimum value of max-thresholds range, it is determined that the current body burden state of above-mentioned user is low load condition.
In accordance with an embodiment of the present disclosure, the above method further includes determining that the current body burden state of above-mentioned user is super
In the case where load condition, sends the first alarm and remind, to prompt user to reduce exercise or change motion mode；And/or
In the case where determining that the current body burden state of above-mentioned user is low load condition, sends the second alarm and remind, to prompt to use
Family increases amount of exercise or changes motion mode.
In accordance with an embodiment of the present disclosure, the above method further includes the environment letter for obtaining above-mentioned user and being presently in ambient enviroment
Breath and/or the current health status of above-mentioned user；And according to above-mentioned load range, calculate above-mentioned user be currently directed to it is above-mentioned pre-
Determine physiological characteristic can load max-thresholds range include: with above-mentioned user be presently in ambient enviroment environmental information and/
Or the current health status of above-mentioned user is constraint condition, is based on above-mentioned load range, calculate above-mentioned user be currently directed to it is above-mentioned
Predetermined physiological characteristic can load max-thresholds range.
In accordance with an embodiment of the present disclosure, above-mentioned first physiological characteristic data is analyzed and processed using pre-defined algorithm, is obtained
The load range that above-mentioned predetermined physiological characteristic is directed to above-mentioned user includes sorting out to above-mentioned first physiological characteristic data, is obtained
The normal duty range and abnormal load range of above-mentioned predetermined physiological characteristic are directed to above-mentioned user；And according to above-mentioned normal negative
Lotus range determines that above-mentioned user is directed to the load range of above-mentioned predetermined physiological characteristic.
Another aspect of the disclosure provides a kind of data processing system, including first obtains module, processing module, meter
Calculate module and comparison module.First, which obtains module, is used to be directed to predetermined physiological characteristic, obtains the first physiological characteristic data of user
With the second physiological characteristic data, wherein above-mentioned first physiological characteristic data is historical data, and the second physiological characteristic data is current
Data；Processing module is used to be analyzed and processed above-mentioned first physiological characteristic data using pre-defined algorithm, obtains above-mentioned user
For the load range of above-mentioned predetermined physiological characteristic；Computing module is used to that it is current to calculate above-mentioned user according to above-mentioned load range
For above-mentioned predetermined physiological characteristic can load max-thresholds range；And comparison module is special for more above-mentioned second physiology
Data and above-mentioned max-thresholds range are levied, with the current body burden state of the above-mentioned user of determination.
In accordance with an embodiment of the present disclosure, above-mentioned comparison module includes that the first determination unit, the second determination unit and third are true
Order member.If the first determination unit is fallen within the scope of above-mentioned max-thresholds for above-mentioned second physiological characteristic data, it is determined that
The current body burden state of above-mentioned user is normal load condition；If the second determination unit is used for above-mentioned second physiological characteristic number
According to the maximum value for falling in except above-mentioned max-thresholds range and being greater than above-mentioned max-thresholds range, it is determined that above-mentioned user is current
Body burden state is overload state；And if third determination unit for above-mentioned second physiological characteristic data fall in it is above-mentioned most
Except big threshold range and less than the minimum value of above-mentioned max-thresholds range, it is determined that the current body burden state of above-mentioned user
For low load condition.
In accordance with an embodiment of the present disclosure, above system further includes the first sending module and the second sending module.First sends
Module is used in the case where determining the current body burden state of above-mentioned user is overload state, is sent the first alarm and is mentioned
It wakes up, to prompt user to reduce exercise or change motion mode；And/or second sending module for determining that above-mentioned user is current
Body burden state be low load condition in the case where, send the second alarm and remind, amount of exercise or changed with prompting user to increase
Become motion mode.
In accordance with an embodiment of the present disclosure, above system further includes the second acquisition module.Second obtains module for obtaining
It states user and is presently in the environmental information of ambient enviroment and/or the health status that above-mentioned user is current；And above-mentioned computing module
The current health status of environmental information and/or above-mentioned user for being presently in ambient enviroment with above-mentioned user is constraint item
Part, be based on above-mentioned load range, calculate above-mentioned user be currently directed to above-mentioned predetermined physiological characteristic institute energy load max-thresholds model
It encloses.
In accordance with an embodiment of the present disclosure, above-mentioned processing module includes sorting out unit and the 4th determination unit.Sort out unit to use
Sort out in above-mentioned first physiological characteristic data, obtains the normal duty model that above-mentioned user is directed to above-mentioned predetermined physiological characteristic
It encloses and abnormal load range；And the 4th determination unit be used to determine above-mentioned user for upper according to above-mentioned normal duty range
State the load range of predetermined physiological characteristic.
Another aspect of the disclosure provides a kind of computer system, including one or more processors and memory.
Memory is for storing one or more programs, wherein when said one or multiple programs are by said one or multiple processors
When execution, so that said one or multiple processors realize data processing method as described above.
Another aspect of the disclosure provides a kind of readable storage medium storing program for executing, is stored thereon with executable instruction, the instruction
Processor is set to realize data processing method as described above when being executed by processor.
Another aspect of the present disclosure provides a kind of computer program, and the computer program, which includes that computer is executable, to be referred to
It enables, described instruction is when executed for realizing method as described above.
In accordance with an embodiment of the present disclosure, the physiological characteristic data of acquisition is analyzed and processed because using, is used
The load range at family, according to load range determine user be currently directed to predetermined physiological characteristic can load max-thresholds ranges
Technological means, so the life that user generates during the motion cannot effectively be analyzed in the related technology by least partially overcoming
The problem of managing data, and causing user that cannot reasonably adjust current physiological status, it is thus possible to the reasonable body-building of user is reminded,
Achieve the effect that improve user experience.
Detailed description of the invention
By referring to the drawings to the description of the embodiment of the present disclosure, the above-mentioned and other purposes of the disclosure, feature and
Advantage will be apparent from, in the accompanying drawings:
Fig. 1 diagrammatically illustrate according to the embodiment of the present disclosure can be with the exemplary of application data processing method and its system
System architecture；
Fig. 2A diagrammatically illustrates the flow chart of the data processing method according to the embodiment of the present disclosure；
Fig. 2 B and Fig. 2 C diagrammatically illustrate the schematic diagram that max-thresholds range is determined according to the current load range of user；
Fig. 3 A diagrammatically illustrates the flow chart of the data processing method according to another embodiment of the disclosure；
Fig. 3 B, which is diagrammatically illustrated, carries out the first physiological characteristic data using pre-defined algorithm according to the embodiment of the present disclosure
Analyze the flow chart of processing；
Fig. 4 diagrammatically illustrates the block diagram of the data processing system according to the embodiment of the present disclosure；
Fig. 5 A diagrammatically illustrates the block diagram of the comparison module according to the embodiment of the present disclosure；
Fig. 5 B diagrammatically illustrates the block diagram of the data processing system according to another embodiment of the disclosure；
Fig. 5 C diagrammatically illustrates the block diagram of the data processing system according to another embodiment of the disclosure；
Fig. 5 D diagrammatically illustrates the block diagram of the processing module according to the embodiment of the present disclosure；And
Fig. 6 diagrammatically illustrates the frame of the computer system for being adapted for carrying out data processing method according to the embodiment of the present disclosure
Figure.
Specific embodiment
Hereinafter, will be described with reference to the accompanying drawings embodiment of the disclosure.However, it should be understood that these descriptions are only exemplary
, and it is not intended to limit the scope of the present disclosure.In addition, in the following description, descriptions of well-known structures and technologies are omitted, with
Avoid unnecessarily obscuring the concept of the disclosure.
Term as used herein is not intended to limit the disclosure just for the sake of description specific embodiment.It uses herein
The terms "include", "comprise" etc. show the presence of the feature, step, operation and/or component, but it is not excluded that in the presence of
Or add other one or more features, step, operation or component.
There are all terms (including technical and scientific term) as used herein those skilled in the art to be generally understood
Meaning, unless otherwise defined.It should be noted that term used herein should be interpreted that with consistent with the context of this specification
Meaning, without that should be explained with idealization or excessively mechanical mode.
It, in general should be according to this using statement as " at least one in A, B and C etc. " is similar to
Field technical staff is generally understood the meaning of the statement to make an explanation (for example, " system at least one in A, B and C "
Should include but is not limited to individually with A, individually with B, individually with C, with A and B, with A and C, have B and C, and/or
System etc. with A, B, C).Using statement as " at least one in A, B or C etc. " is similar to, generally come
Saying be generally understood the meaning of the statement according to those skilled in the art to make an explanation (for example, " having in A, B or C at least
One system " should include but is not limited to individually with A, individually with B, individually with C, with A and B, have A and C, have
B and C, and/or the system with A, B, C etc.).It should also be understood by those skilled in the art that substantially arbitrarily indicating two or more
The adversative conjunction and/or phrase of optional project shall be construed as either in specification, claims or attached drawing
A possibility that giving including one of these projects, either one or two projects of these projects.For example, phrase " A or B " should
A possibility that being understood to include " A " or " B " or " A and B ".
Embodiment of the disclosure provides a kind of data processing method and its system.Data processing method includes: for pre-
Determine physiological characteristic, obtains the first physiological characteristic data and the second physiological characteristic data of user, wherein the first physiological characteristic data
For historical data, the second physiological characteristic data is current data；The first physiological characteristic data is analyzed using pre-defined algorithm
Processing obtains the load range that user is directed to predetermined physiological characteristic；According to load range, calculates user and be currently directed to predetermined physiology
Feature can load max-thresholds range；And compare the second physiological characteristic data and max-thresholds range, to determine user
Current body burden state.
Fig. 1 diagrammatically illustrate according to the embodiment of the present disclosure can be with the exemplary of application data processing method and its system
System architecture.
As shown in Figure 1, system architecture 100 may include terminal device 101,102,103, network according to this embodiment
104 and server 105.Network 104 between terminal device 101,102,103 and server 105 to provide communication link
Medium.Network 104 may include various connection types, such as wired and or wireless communications link etc..
User can be used terminal device 101,102,103 and be interacted by network 104 with server 105, to receive or send out
Send message etc..One or more telecommunication customer end applications can be installed, such as movement class is answered on terminal device 101,102,103
With equal (merely illustrative).
Terminal device 101,102,103 can be one or more of electronic equipment, including but not limited to smartwatch,
Intelligent bracelet, the electronic equipments such as smart phone.
Server 105 can be to provide the server of various services, such as utilize terminal device 101,102,103 to user
Data collected provide the back-stage management server (merely illustrative) supported.Back-stage management server can be to the use received
The data such as family request analyze etc. processing, and by processing result (such as according to the information of user's request or generation or several
According to etc.) feed back to terminal device.
It should be noted that data processing method provided by the embodiment of the present disclosure can be executed by server 105.Accordingly
Ground, data processing system provided by the embodiment of the present disclosure generally can be set in server 105.The embodiment of the present disclosure is mentioned
The data processing method of confession can also be by being different from server 105 and can be with terminal device 101,102,103 and/or server
The server or server cluster of 105 communications execute.Correspondingly, data processing system provided by the embodiment of the present disclosure can also be with
Be set to different from server 105 and the server that can be communicated with terminal device 101,102,103 and/or server 105 or
In server cluster.Alternatively, data processing method provided by the embodiment of the present disclosure can also by terminal device 101,102 or
103 execute, or can also be executed by other terminal devices for being different from terminal device 101,102 or 103.Correspondingly, this public affairs
Opening data processing system provided by embodiment also can be set in terminal device 101,102 or 103, or be set to difference
In other terminal devices of terminal device 101,102 or 103.
For example, user's physiological characteristic data of acquisition can be stored in appointing in terminal device 101,102 or 103 originally
Meaning one (for example, terminal device 101, but not limited to this) among, or the Intelligent bracelet by acquiring user's physiological characteristic data
It imported into terminal device 101.Then, terminal device 101 can be performed locally at data provided by the embodiment of the present disclosure
Reason method, or other terminal devices, server or server are sent by user's physiological characteristic data of acquisition to be processed
Cluster, and other terminal devices, server or the server set of user's physiological characteristic data by receiving the acquisition to be processed
Group executes data processing method provided by the embodiment of the present disclosure.
It should be understood that the number of terminal device, network and server in Fig. 1 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.
Fig. 2A diagrammatically illustrates a kind of flow chart of data processing method according to the embodiment of the present disclosure.
As shown in Figure 2 A, this method includes operation S210~S240, in which:
The first physiological characteristic data and the second physiological characteristic of user are obtained for predetermined physiological characteristic in operation S210
Data, wherein the first physiological characteristic data is historical data, and the second physiological characteristic data is current data.
In operation S220, the first physiological characteristic data is analyzed and processed using pre-defined algorithm, obtains user for pre-
Determine the load range of physiological characteristic.
In operation S230, according to load range, the maximum threshold that user is currently directed to predetermined physiological characteristic institute energy load is calculated
It is worth range.
In operation S240, compare the second physiological characteristic data and max-thresholds range, to determine that the current body of user is negative
Lotus state.
In accordance with an embodiment of the present disclosure, scheduled physiological characteristic may include one of following or a variety of, such as can be with
Including heart rate feature, pulse characteristics or blood pressure characteristics etc..It is straight equipment can be acquired using motion bracelet or smartwatch etc.
The first physiological characteristic data and the second physiological characteristic data of acquisition user are connect, alternatively, first by acquisition equipment acquisition user's
The first physiological characteristic data and the second physiological characteristic data, then pass through corresponding processing equipment and obtain collected first physiology
Characteristic and the second physiological characteristic data.Historical data can be the data within the scope of the current previous predetermined time, this is pre-
The range fixed time can be shorter away from current time period, current data can be currently just collecting for predetermined
Physiological data.
In accordance with an embodiment of the present disclosure, it can be calculated using PCA Principal Component Analysis Algorithm and/or FP-growth association analysis
Method is analyzed and processed the first physiological characteristic data, obtains the load range that user is directed to predetermined physiological characteristic.For example, using
PCA Principal Component Analysis Algorithm carries out data analysis to collected first physiological characteristic data, obtains normal duty range and different
Normal load range determines that user is directed to the load range of predetermined physiological characteristic according to normal duty range.Alternatively, using PCA master
Constituent analysis algorithm and FP-growth association analysis algorithm carry out data point to collected first physiological characteristic data respectively
Analysis exports current loads range, to further improve after merging the load range that two kinds of algorithms respectively obtain
Accuracy of the user for the load range of predetermined physiological characteristic.It should be noted that the type of pre-defined algorithm includes but unlimited
In above two, the disclosure does not limit the type of pre-defined algorithm.
In accordance with an embodiment of the present disclosure, calculate user be currently directed to predetermined physiological characteristic institute energy load max-thresholds range
It can be and obtained based on the current load range of the user being calculated.For example, using FP-growth association analysis algorithm base
The max-thresholds range that user is currently directed to predetermined physiological characteristic institute energy load is calculated in the current load range of obtained user.
Fig. 2 B and Fig. 2 C diagrammatically illustrate the schematic diagram that max-thresholds range is determined according to the current load range of user.
As shown in Figure 2 B, max-thresholds range is calculated in conjunction with the current load range of biological characteristic set and user.Wherein,
Biological characteristic set may include the threshold range of the user under different affecting factors, such as environmental information and health status.It is more
The range intervals that a frequent episode factor causes the predetermined physiological characteristic of user to be born in different environments are not identical.With predetermined physiology
Feature be heart rate feature for, such as in the case where air pressure is got higher, heart rate can become faster, pressure be lower heart rate then accordingly it is slack-off.User
Also there is certain influence on heart rate during sick.It can be by by the maximum of this heart rate frequent item set and last output
After supporting number and minimum support number to be compressed, a frequent pattern tree (fp tree) is obtained.
Two kinds of situations described above and some other situations may be collectively referred to as influence of the biological characteristic to threshold range,
Range intervals under each influence factor can be regarded as a frequent item set, a variety of frequent episodes are associated, are taken wherein
Same alike result carry out Data Integration, carry out threshold value using FP-growth association analysis algorithm during Data Integration
It determines, the accuracy rate of threshold value can be improved to a certain extent.
Application of the FP-growth association analysis algorithm in biological characteristic set can be as shown in Figure 2 C and pass through scanning
Data source obtains FP tree essential structure by data source.In order to traverse the Table Header information that the heel row of tree needs to increase structure table, head table
All frequent items are saved, and are arranged according to the descending of frequency, each project in table includes a node linked list, is referred to
Its node of the same name is neutralized to tree.For example, the related frequent episode information that data link table saves, wherein item is Frequent Set, wherein
F, c, a, b, m, p can be used as frequent episode, wherein content representation correlation frequent episode.
Mining data, that is, the data mining of FP-growth are just needed after the completion of the building of FP tree, can be used substantially
Data mining means, using reverse type structure, from the beginning last beginning of table, obtains direct Frequent Set, then successively up
Obtain multiple Frequent Sets.For example, by the last p:3 in table, m:2, a:3, c:3, the preservation of f:4 frequent episode is followed successively by m:1, b:
1, p:1, c:1, what is identified in figure is the correlative connection of frequent episode, uses FP-growth association analysis algorithm by correlative connection, subtracts
The radix of few frequent episode, obtains threshold value, can be with the value range of accurate threshold.
For example, biological characteristic set includes heart rate load range A:50-100, A1:60- caused under certain pressure intensity
80, A2:70-100, and load range caused at a certain temperature is B:60-110, B1:70-80.Assuming that obtaining use
The current load range in family, including C:70-90, C1:80-100, D:80-120, E:90-130.It should be noted that above-mentioned
It is to enumerate a small number of parameters, without all parameters of exhaustion.
Storing list structure can be with are as follows:
| A | A1 | B | C | A2 | B1 | C1 | D | E |
Storage form in lists allows element to arrange by flashback sequence as it appears from the above, storing list, is using FP-
It carries out that element can be searched out faster when threshold value determines when growth association analysis algorithm.
By above data division of teaching contents, threshold value sequence is searched are as follows:
E:90-130；
D:80-120 obtains E, D:80-130；
A2:70-100 obtains E, D, A2:70-130；
C:70-90 obtains E, D, A2, C:70-130；
B:60-110 obtains E, D, A2, C, B:60-130；
A1:60:80 obtains E, D, A2, C, B, A1:60-130；
A:50-100 obtains E, D, A2, C, B, A1, A:50-130.
During FP-growth association analysis, subsequent obtained range also needs to carry out the subdivision of algorithm, for example, the
E, the D:80-130 that one step obtains, wherein minimum threshold interval range are as follows: 90-120.Max-thresholds model can be obtained by variance equation
The rule with minimum threshold range is enclosed, optimal threshold range is finally cooked up using average range.
Through the above way calculate user be currently directed to predetermined physiological characteristic institute energy load max-thresholds range, frequent
It is smaller with expense, highdensity loading problem is not needed, the size of load capacity is reduced.And the length of array when data processing
Can gradually it become smaller in reverse process, Local frequent itemset file, which becomes smaller, can become the optimum value of global frequentItemset.Due to
It is the structure of reverse type, I/O call duration time can be reduced during carrying out optimal root node acquisition.
By embodiment of the disclosure, the physiological characteristic data of acquisition is analyzed and processed because using, is used
The load range at family, according to load range determine user be currently directed to predetermined physiological characteristic can load max-thresholds ranges
Technological means, so the life that user generates during the motion cannot effectively be analyzed in the related technology by least partially overcoming
Manage data, and the problem of cause user that cannot reasonably adjust current physiological status, ensured user can reasonable body-building, reach
The effect for improving user experience is arrived.
In accordance with an embodiment of the present disclosure, compare the second physiological characteristic data and max-thresholds range, to determine that user is current
Body burden state comprise at least one of the following situation: situation one, if the second physiological characteristic data falls in max-thresholds range
Within, it is determined that the current body burden state of user is normal load condition；Situation two, if the second physiological characteristic data is fallen in
Maximum value except max-thresholds range and greater than max-thresholds range, it is determined that the current body burden state of user is super negative
Lotus state；Situation three, if the second physiological characteristic data falls in the minimum for except max-thresholds range and being less than max-thresholds range
Value, it is determined that the current body burden state of user is low load condition.
By above-mentioned a variety of load conditions, it can accurately determine the current body burden state of user, improve user's body
It tests, has achieved the effect that accurate analysis User Status.
In accordance with an embodiment of the present disclosure, above-mentioned data processing method can also include determining the current body burden of user
In the case that state is overload state, sends the first alarm and remind, to prompt user to reduce exercise or change motion mode；
And/or in the case where determining the current body burden state of user is low load condition, sends the second alarm and remind, with prompt
User increases amount of exercise or changes motion mode.
In accordance with an embodiment of the present disclosure, the alerting pattern of the first alarm prompting and the second alarm prompting includes a variety of, can also
To be following any a variety of combination.Such as it can be prompting message by voice broadcast, or can be and shake by issuing
The prompting message of dynamic prompt, can also be and show prompt information in display screen.
By embodiment of the disclosure, in the case where determining that the current body burden state of user is overload state,
Illustrate that user is currently abnormal condition, needs that user is reminded to take appropriate measures at this time, such as can be and reduce exercise
Or change motion mode, to change the current body burden state of user.When determining the current body burden state of user
In the case where for low load condition, illustrates that user is currently abnormal condition, needs that user is reminded to take appropriate measures at this time,
Such as it can be prompt user and increase amount of exercise or change motion mode.By the above-mentioned means, having reached intelligent prompt user's
Effect has ensured that user adjusts current body burden state in time.
Below with reference to Fig. 3 A~Fig. 3 B, Fig. 2A~method shown in fig. 2 C is described further in conjunction with specific embodiments.
Fig. 3 A diagrammatically illustrates the flow chart of the data processing method according to another embodiment of the disclosure.
As shown in Figure 3A, data processing method further includes operation S250~S260, in which:
In operation S250, obtains user and be presently in the environmental information of ambient enviroment and/or the health status that user is current.
In operation S260, the environmental information of ambient enviroment is presently in user and/or the current health status of user is
Constraint condition, be based on load range, calculate user be currently directed to predetermined physiological characteristic institute energy load max-thresholds range.
In accordance with an embodiment of the present disclosure, the environmental information of ambient enviroment is, for example, air quality information, the rings such as current temperature
Border information.The current health status of user for example can be the current body temperature information of user, physiological signs etc..
Calculate user be currently directed to predetermined physiological characteristic institute energy load max-thresholds range when, use can be comprehensively considered
Family be presently in ambient enviroment environmental information and/or the current current load range of health status and user of user into
Row calculates.The user that the current health information corrected Calculation of environmental information and/or user based on ambient enviroment obtains works as
It is preceding for predetermined physiological characteristic institute energy load max-thresholds range.For example, when the current physical condition of user is fever condition,
The max-thresholds range being calculated at this time can be more smaller than the max-thresholds range that user is calculated under normal circumstances,
User can be reminded in time when the current load of user reaches max-thresholds range to realize.
It is maximum by the current health calculations of the environmental information and/or user that are presently in ambient enviroment in conjunction with user
Threshold range, the personalized max-thresholds range that each user has been determined reach so that being more in line with actual use situation
Effectively analysis user's physiological data, can reasonably adjust the effect of current physiological status.
Fig. 3 B, which is diagrammatically illustrated, carries out the first physiological characteristic data using pre-defined algorithm according to the embodiment of the present disclosure
Analyze the flow chart of processing.
As shown in Figure 3B, the first physiological characteristic data is analyzed and processed using pre-defined algorithm, obtains user for pre-
The load range for determining physiological characteristic includes operation S221~S222, in which:
In operation S221, the first physiological characteristic data is sorted out, obtains user for the normal of predetermined physiological characteristic
Load range and abnormal load range.
In operation S222, according to normal duty range, determine that user is directed to the load range of predetermined physiological characteristic.
It in accordance with an embodiment of the present disclosure, can be using PCA Principal Component Analysis Algorithm to collected first physiological characteristic number
According to being sorted out, by taking the first physiological characteristic data is heart rate data as an example, heart rate data is classified as high frequency heart rate, intermediate frequency heart rate
Classify with three kinds of low frequency heart rate, the classification that normal duty range and abnormal load range are included is determined from three kinds of classification.
For example, can be using high frequency heart rate and intermediate frequency heart rate as normal duty range, using low frequency heart rate as abnormal load range.Finally
Determine that user is directed to the load range of predetermined physiological characteristic according to high frequency heart rate and intermediate frequency heart rate.
By obtaining normal duty range and abnormal load range to the first physiological characteristic data progress classification analysis, and
Ignore abnormal load range, converts normal duty range for collected first physiological characteristic data, determining use can be improved
The accuracy of the load range at family is more in line with user's habit.
Fig. 4 diagrammatically illustrates the block diagram of the data processing system according to the embodiment of the present disclosure.
As shown in figure 4, data processing system 400 includes the first acquisition module 410, processing module 420, computing module 430
With comparison module 440.
First, which obtains module 410, is used to be directed to predetermined physiological characteristic, obtains the first physiological characteristic data and second of user
Physiological characteristic data, wherein the first physiological characteristic data is historical data, and the second physiological characteristic data is current data.
Processing module 420 is used to be analyzed and processed the first physiological characteristic data using pre-defined algorithm, obtains user's needle
To the load range of predetermined physiological characteristic.
Computing module 430 is used to calculate user and currently be directed to predetermined physiological characteristic institute energy load most according to load range
Big threshold range.
Comparison module 440 is for comparing the second physiological characteristic data and max-thresholds range, to determine the current body of user
Systemic Burden state.
By embodiment of the disclosure, the physiological characteristic data of acquisition is analyzed and processed because using, is used
The load range at family, according to load range determine user be currently directed to predetermined physiological characteristic can load max-thresholds ranges
Technological means, so the life that user generates during the motion cannot effectively be analyzed in the related technology by least partially overcoming
Manage data, and the problem of cause user that cannot reasonably adjust current physiological status, ensured user can reasonable body-building, reach
The effect for improving user experience is arrived.
Fig. 5 A diagrammatically illustrates the block diagram of the comparison module according to the embodiment of the present disclosure.
As shown in Figure 5A, in accordance with an embodiment of the present disclosure, comparison module 440 is determined including the first determination unit 441, second
Unit 442 and third determination unit 443.
If the first determination unit 441 is fallen within the scope of max-thresholds for the second physiological characteristic data, it is determined that user
Current body burden state is normal load condition.
If the second determination unit 442 falls in except max-thresholds range for the second physiological characteristic data and is greater than maximum threshold
It is worth the maximum value of range, it is determined that the current body burden state of user is overload state.
If third determination unit 443 falls in except max-thresholds range for the second physiological characteristic data and is less than maximum threshold
It is worth the minimum value of range, it is determined that the current body burden state of user is low load condition.
By above-mentioned a variety of load conditions, it can accurately determine the current body burden state of user, improve user's body
It tests, has achieved the effect that accurate analysis User Status.
In accordance with an embodiment of the present disclosure, data processing system 400 further includes that the first sending module 450 and/or second is sent
Module 460.
Fig. 5 B diagrammatically illustrates the block diagram of the data processing system according to another embodiment of the disclosure.
It as shown in Figure 5 B, in accordance with an embodiment of the present disclosure, further include the first sending module 450 in data processing system 400
In the case where the second sending module 460.
First sending module 450 is used in the case where determining the current body burden state of user is overload state,
It sends the first alarm to remind, to prompt user to reduce exercise or change motion mode.
Second sending module 460 is used in the case where determining the current body burden state of user is low load condition,
It sends the second alarm to remind, to prompt user to increase amount of exercise or change motion mode.
By embodiment of the disclosure, in the case where determining that the current body burden state of user is overload state,
Illustrate that user is currently abnormal condition, needs that user is reminded to take appropriate measures at this time, such as can be and reduce exercise
Or change motion mode, to change the current body burden state of user.When determining the current body burden state of user
In the case where for low load condition, illustrates that user is currently abnormal condition, needs that user is reminded to take appropriate measures at this time,
Such as it can be prompt user and increase amount of exercise or change motion mode.By the above-mentioned means, having reached intelligent prompt user's
Effect has ensured that user adjusts current body burden state in time.
Fig. 5 C diagrammatically illustrates the block diagram of the data processing system according to another embodiment of the disclosure.
As shown in Figure 5 C, in accordance with an embodiment of the present disclosure, data processing system 400 further includes the second acquisition module 470.The
Two acquisition modules 470 are presently in the environmental information of ambient enviroment and/or the health status that user is current for obtaining user；With
And computing module 430 is used to be presently in the environmental information of ambient enviroment with user and/or the current health status of user is about
Beam condition, be based on load range, calculate user be currently directed to predetermined physiological characteristic institute energy load max-thresholds range.
It is maximum by the current health calculations of the environmental information and/or user that are presently in ambient enviroment in conjunction with user
Threshold range, the personalized max-thresholds range that each user has been determined reach so that being more in line with actual use situation
Effectively analysis user's physiological data, can reasonably adjust the effect of current physiological status.
Fig. 5 D diagrammatically illustrates the block diagram of the processing module according to the embodiment of the present disclosure.
As shown in Figure 5 D, in accordance with an embodiment of the present disclosure, processing module 420 includes sorting out unit 421 and the 4th to determine list
Member 422.
Sort out unit 421 for sorting out to the first physiological characteristic data, obtains user for predetermined physiological characteristic
Normal duty range and abnormal load range.
4th determination unit 422 is used to determine the load model that user is directed to predetermined physiological characteristic according to normal duty range
It encloses.
By obtaining normal duty range and abnormal load range to the first physiological characteristic data progress classification analysis, and
Ignore abnormal load range, converts normal duty range for collected first physiological characteristic data, determining use can be improved
The accuracy of the load range at family is more in line with user's habit.
It is understood that first obtains module 410, processing module 420, computing module 430, comparison module 440, first
Sending module 450 and/or the second sending module 460 and the second acquisition module 470 may be incorporated in a module and realize,
Or any one module therein can be split into multiple modules.Alternatively, one or more modules in these modules
At least partly function can be combined at least partly function of other modules, and be realized in a module.According to the present invention
Embodiment, first obtain module 410, processing module 420, computing module 430, comparison module 440, the first sending module 450
And/or second at least one of sending module 460 and second acquisition module 470 can at least be implemented partly as it is hard
Part circuit, for example, field programmable gate array (FPGA), programmable logic array (PLA), system on chip, the system on substrate,
System, specific integrated circuit (ASIC) in encapsulation, or can be any other reasonable integrate or encapsulate to circuit
The hardware such as mode or firmware realize, or is realized with software, the appropriately combined of three kinds of implementations of hardware and firmware.Or
Person, first obtains module 410, processing module 420, computing module 430, comparison module 440, the first sending module 450 and/or the
At least one of two sending modules 460 and the second acquisition module 470 can at least be implemented partly as computer program
Module can execute the function of corresponding module when the program is run by computer.
It should be noted that in embodiment of the disclosure in data processing system part and embodiment of the disclosure at data
Reason method part be it is corresponding, the description of data processing system part is with specific reference to data processing method part, herein no longer
It repeats.
Fig. 6 diagrammatically illustrates the frame of the computer system for being adapted for carrying out data processing method according to the embodiment of the present disclosure
Figure.Computer system shown in Fig. 6 is only an example, should not function to the embodiment of the present disclosure and use scope bring and appoint
What is limited.
As shown in fig. 6, include processor 601 according to the computer system 600 of the embodiment of the present disclosure, it can be according to storage
It is loaded into random access storage device (RAM) 603 in the program in read-only memory (ROM) 602 or from storage section 608
Program and execute various movements appropriate and processing.Processor 601 for example may include general purpose microprocessor (such as CPU), refer to
Enable set processor and/or related chip group and/or special microprocessor (for example, specific integrated circuit (ASIC)), etc..Processing
Device 601 can also include the onboard storage device for caching purposes.Processor 601 may include for executing with reference to Fig. 2A~figure
The single treatment unit of the different movements of the method flow according to the embodiment of the present disclosure of 2C, Fig. 3 A~Fig. 3 B description is either more
A processing unit.
In RAM 603, it is stored with system 600 and operates required various programs and data.Processor 601, ROM 602 with
And RAM 603 is connected with each other by bus 604.Processor 601 is held by executing the program in ROM 602 and/or RAM 603
Row is above with reference to Fig. 2A~Fig. 2 C, the various operations of Fig. 3 A~Fig. 3 B description.It is being removed it is noted that described program also can store
In one or more memories other than ROM 602 and RAM 603.Processor 601 can also be stored in described one by executing
Program in a or multiple memories is executed above with reference to Fig. 2A~Fig. 2 C, the various operations of Fig. 3 A~Fig. 3 B description.
In accordance with an embodiment of the present disclosure, system 600 can also include input/output (I/O) interface 605, input/output
(I/O) interface 605 is also connected to bus 604.System 600 can also include be connected to I/O interface 605 with one in lower component
Item is multinomial: the importation 606 including keyboard, mouse etc.；Including such as cathode-ray tube (CRT), liquid crystal display (LCD)
Deng and loudspeaker etc. output par, c 607；Storage section 608 including hard disk etc.；And including such as LAN card, modulatedemodulate
Adjust the communications portion 609 of the network interface card of device etc..Communications portion 609 executes communication process via the network of such as internet.
Driver 610 is also connected to I/O interface 605 as needed.Detachable media 611, such as disk, CD, magneto-optic disk, semiconductor
Memory etc. is mounted on as needed on driver 610, in order to be pacified as needed from the computer program read thereon
It is packed into storage section 608.
In accordance with an embodiment of the present disclosure, it may be implemented as computer software journey above with reference to the method for flow chart description
Sequence.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer readable storage medium
Computer program, which includes the program code for method shown in execution flow chart.In such implementation
In example, which can be downloaded and installed from network by communications portion 609, and/or from detachable media 611
It is mounted.When the computer program is executed by processor 601, the above-mentioned function limited in the system of the embodiment of the present disclosure is executed
Energy.In accordance with an embodiment of the present disclosure, system as described above, unit, module, unit etc. can pass through computer program
Module is realized.
It should be noted that computer readable storage medium shown in the disclosure can be computer-readable signal media or
Person's computer readable storage medium either the two any combination.Computer readable storage medium for example can be ---
But be not limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above group
It closes.The more specific example of computer readable storage medium can include but is not limited to: have being electrically connected for one or more conducting wires
Connect, portable computer diskette, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed it is read-only
Memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory
Part or above-mentioned any appropriate combination.In the disclosure, computer readable storage medium, which can be, any include or stores
The tangible medium of program, the program can be commanded execution system, device or device use or in connection.And
In the disclosure, computer-readable signal media may include in a base band or the data as the propagation of carrier wave a part are believed
Number, wherein carrying computer-readable program code.The data-signal of this propagation can take various forms, including but not
It is limited to electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer
Any computer readable storage medium other than readable storage medium storing program for executing, which can send, propagate or
Person's transmission is for by the use of instruction execution system, device or device or program in connection.It is computer-readable to deposit
The program code for including on storage media can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF
Etc. or above-mentioned any appropriate combination.In accordance with an embodiment of the present disclosure, on computer readable storage medium may include
One or more memories other than the ROM 602 and/or RAM 603 and/or ROM602 and RAM 603 of text description.
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the disclosure, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule
The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
As on the other hand, the disclosure additionally provides a kind of computer readable storage medium, the computer-readable storage medium
Matter can be included in equipment described in above-described embodiment；It is also possible to individualism, and without in the supplying equipment.
Above-mentioned computer readable storage medium carries one or more program, when said one or multiple programs by one this set
When standby execution, so that the equipment executes: being directed to predetermined physiological characteristic, obtain the first physiological characteristic data and the second physiology of user
Characteristic, wherein the first physiological characteristic data is historical data, and the second physiological characteristic data is current data；Using predetermined
Algorithm is analyzed and processed the first physiological characteristic data, obtains the load range that user is directed to predetermined physiological characteristic；According to negative
Lotus range, calculate user be currently directed to predetermined physiological characteristic institute energy load max-thresholds range；And compare the second physiology spy
Data and max-thresholds range are levied, to determine the current body burden state of user.In accordance with an embodiment of the present disclosure, compare second
Physiological characteristic data and max-thresholds range, if to determine that the current body burden state of user includes: the second physiological characteristic number
According to falling within the scope of max-thresholds, it is determined that the current body burden state of user is normal load condition；If the second physiology
Characteristic falls in the maximum value for except max-thresholds range and being greater than max-thresholds range, it is determined that the current body of user is negative
Lotus state is overload state；And if the second physiological characteristic data falls in except max-thresholds range and is less than max-thresholds model
The minimum value enclosed, it is determined that the current body burden state of user is low load condition.In accordance with an embodiment of the present disclosure, further include
It executes in the case where determining the current body burden state of user is overload state, sends the first alarm and remind, with prompt
User reduces exercise or changes motion mode；And/or determining that the current body burden state of user is low load condition
In the case of, it sends the second alarm and reminds, to prompt user to increase amount of exercise or change motion mode.According to the implementation of the disclosure
Example further includes executing acquisition user to be presently in the environmental information of ambient enviroment and/or the health status that user is current；And root
According to load range, it includes: current with user for calculating user and being currently directed to the max-thresholds range of predetermined physiological characteristic institute energy load
The environmental information of locating ambient enviroment and/or the current health status of user are constraint condition, are based on load range, calculate user
Currently for predetermined physiological characteristic institute energy load max-thresholds range.In accordance with an embodiment of the present disclosure, using pre-defined algorithm pair
First physiological characteristic data is analyzed and processed, and the load range for obtaining user for predetermined physiological characteristic includes to the first physiology
Characteristic is sorted out, and normal duty range and abnormal load range that user is directed to predetermined physiological characteristic are obtained；And root
According to normal duty range, determine that user is directed to the load range of predetermined physiological characteristic.
Embodiment of the disclosure is described above.But the purpose that these embodiments are merely to illustrate that, and
It is not intended to limit the scope of the present disclosure.Although respectively describing each embodiment above, but it is not intended that each reality
Use cannot be advantageously combined by applying the measure in example.The scope of the present disclosure is defined by the appended claims and the equivalents thereof.It does not take off
From the scope of the present disclosure, those skilled in the art can make a variety of alternatives and modifications, these alternatives and modifications should all fall in this
Within scope of disclosure.
Claims (12)
1. a kind of data processing method, comprising:
For predetermined physiological characteristic, the first physiological characteristic data and the second physiological characteristic data of user are obtained, wherein described
One physiological characteristic data is historical data, and second physiological characteristic data is current data；
First physiological characteristic data is analyzed and processed using pre-defined algorithm, obtains the user for the predetermined life
Manage the load range of feature；
According to the load range, calculate the user be currently directed to the predetermined physiological characteristic can load max-thresholds model
It encloses；And
Compare second physiological characteristic data and the max-thresholds range, with the current body burden shape of the determination user
State.
2. according to the method described in claim 1, wherein, second physiological characteristic data and the max-thresholds model
It encloses, includes: with the body burden state that the determination user is current
If second physiological characteristic data is fallen within the scope of the max-thresholds, it is determined that the current body of the user is negative
Lotus state is normal load condition；
If second physiological characteristic data falls in except the max-thresholds range and is greater than the max-thresholds range most
Big value, it is determined that the current body burden state of the user is overload state；And
If second physiological characteristic data falls in except the max-thresholds range and is less than the max-thresholds range most
Small value, it is determined that the current body burden state of the user is low load condition.
3. according to the method described in claim 2, wherein, the method also includes:
In the case where determining the current body burden state of the user is overload state, sends the first alarm and remind, with
Prompt user reduces exercise or changes motion mode；And/or
In the case where determining the current body burden state of the user is low load condition, sends the second alarm and remind, with
It prompts user to increase amount of exercise or changes motion mode.
4. according to the method described in claim 1, wherein, the method also includes:
It obtains the user and is presently in the environmental information of ambient enviroment and/or the health status that the user is current；And
According to the load range, calculate the user be currently directed to the predetermined physiological characteristic can load max-thresholds model
Enclose includes: to be presently in environmental information and/or the current health status of the user of ambient enviroment with the user as constraint
Condition, be based on the load range, calculate the user be currently directed to the predetermined physiological characteristic institute energy load max-thresholds
Range.
5. according to the method described in claim 1, wherein, being analyzed using pre-defined algorithm first physiological characteristic data
Processing, the load range for obtaining the user for the predetermined physiological characteristic include:
First physiological characteristic data is sorted out, the normal duty that the user is directed to the predetermined physiological characteristic is obtained
Range and abnormal load range；And
According to the normal duty range, determine that the user is directed to the load range of the predetermined physiological characteristic.
6. a kind of data processing system, comprising:
First obtains module, and for being directed to predetermined physiological characteristic, the first physiological characteristic data and the second physiology for obtaining user are special
Levy data, wherein first physiological characteristic data is historical data, and the second physiological characteristic data is current data；
Processing module obtains the user for being analyzed and processed using pre-defined algorithm to first physiological characteristic data
For the load range of the predetermined physiological characteristic；
Computing module, for according to the load range, calculating the user and being currently directed to the predetermined physiological characteristic can be born
The max-thresholds range of lotus；And
Comparison module, for second physiological characteristic data and the max-thresholds range, with determination, the user works as
Preceding body burden state.
7. system according to claim 6, wherein the comparison module includes:
First determination unit, if being fallen within the scope of the max-thresholds for second physiological characteristic data, it is determined that institute
Stating the current body burden state of user is normal load condition；
Second determination unit, if falling in except the max-thresholds range and being greater than described for second physiological characteristic data
The maximum value of max-thresholds range, it is determined that the current body burden state of the user is overload state；And
Third determination unit, if falling in except the max-thresholds range and being less than described for second physiological characteristic data
The minimum value of max-thresholds range, it is determined that the current body burden state of the user is low load condition.
8. system according to claim 7, wherein the system also includes:
First sending module, for sending out in the case where determining the current body burden state of the user is overload state
The first alarm is sent to remind, to prompt user to reduce exercise or change motion mode；And/or
Second sending module, for sending out in the case where determining the current body burden state of the user is low load condition
The second alarm is sent to remind, to prompt user to increase amount of exercise or change motion mode.
9. system according to claim 6, wherein the system also includes:
Second obtain module, for obtain the user be presently in ambient enviroment environmental information and/or the user it is current
Health status；And
Environmental information and/or the user of the computing module for being presently in ambient enviroment with the user are current to be good for
Health situation is constraint condition, is based on the load range, and calculating the user and being currently directed to the predetermined physiological characteristic can bear
The max-thresholds range of lotus.
10. system according to claim 6, wherein the processing module includes:
Sort out unit, for sorting out to first physiological characteristic data, obtains the user for the predetermined physiology
The normal duty range and abnormal load range of feature；And
4th determination unit, for determining the user for the predetermined physiological characteristic according to the normal duty range
Load range.
11. a kind of computer system, comprising:
One or more processors；
Memory, for storing one or more programs,
Wherein, when one or more of programs are executed by one or more of processors, so that one or more of
Processor realizes data processing method described in any one of claims 1 to 5.
12. a kind of readable storage medium storing program for executing, is stored thereon with executable instruction, which realize processor when being executed by processor
Data processing method described in any one of claims 1 to 5.
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