CN109620194A - Heart rate detection processing method, device, medium and electronic equipment - Google Patents
Heart rate detection processing method, device, medium and electronic equipment 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
Abstract
The embodiment of the invention provides a kind of heart rate detection processing method, device, medium and electronic equipment, which includes: the multiframe facial image for obtaining the target user that continuous acquisition arrives；Target area in the multiframe facial image is compared, to determine the smallest two field pictures of comparison difference of the target area respectively in each section of continuous facial image；The time interval between the two field pictures determined in described each section continuous facial image is calculated, at least one time interval is obtained；According at least one described time interval, the heart rate value of the target user is calculated.The convenience of heart rate detection efficiency and heart rate detection can be improved in the technical solution of the embodiment of the present invention.
Description
Technical field
The present invention relates to technical field of data processing, in particular to a kind of heart rate detection processing method, device, Jie
Matter and electronic equipment.
Background technique
Heart rate refers to the number of normal person's heartbeat per minute under rest state, variation and the close phase of heart disease of heart rate
It closes, therefore detection for heart rate and monitoring are prevention and a kind of important means for checking heart disease.
Currently, usually using ECG monitor to monitored people by medical staff in the heart rate value for measuring monitored people
The rhythm of the heart of contact is carried out, this heart rate detection and monitor mode are more demanding to medical resource, do not only need provide specially
The ECG monitor of industry, it is also desirable to which medical staff has the heart rate detection technology of profession, simultaneously because medical staff is needed to pass through
The mode of contact is monitored, therefore the detection efficiency of heart rate is relatively low.
It should be noted that information is only used for reinforcing the reason to background of the invention disclosed in above-mentioned background technology part
Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of heart rate detection processing method, device, medium and electronic equipment, into
And the convenience of heart rate detection efficiency and heart rate detection is improved at least to a certain extent.
Other characteristics and advantages of the invention will be apparent from by the following detailed description, or partially by the present invention
Practice and acquistion.
According to a first aspect of the embodiments of the present invention, a kind of heart rate detection processing method is provided, comprising: acquisition is continuously adopted
The multiframe facial image of the target user collected；Target area in the multiframe facial image is compared, at each section
The smallest two field pictures of comparison difference of the target area are determined in continuous facial image respectively；It calculates at described each section
The time interval between the two field pictures determined in continuous facial image, obtains at least one time interval；According to
At least one described time interval, calculates the heart rate value of the target user.
In some embodiments of the invention, be based on aforementioned schemes, by the target area in the multiframe facial image into
Row comparison, to determine the smallest two frames figure of comparison difference of the target area respectively in each section of continuous facial image
Picture, comprising: with the benchmark as a comparison of the specified facial image in described each section continuous facial image, calculate described each section it is continuous
Facial image in other facial images target area and the specified facial image in target area between comparison
Difference, to determine the comparison difference between the specified facial image in described each section continuous facial image most
Small target facial image；By the specified facial image and the target face figure in described each section continuous facial image
As the two field pictures in each time window.
In some embodiments of the invention, aforementioned schemes are based on, according at least one described time interval, described in calculating
The heart rate value of target user, comprising: calculate between each time interval in setting value and at least one described time interval
Ratio obtains at least one predict heart rate value；Using the average value of at least one predict heart rate value as the target user
Heart rate value.
In some embodiments of the invention, aforementioned schemes, the heart rate detection processing method are based on further include: monitoring
The heart rate value situation of change of the target user；According to the heart rate value of the target user and the heart rate value situation of change, meter
Calculate the healthy score of the target user.
In some embodiments of the invention, aforementioned schemes are based on, according to the heart rate value of the target user and the heart
Rate value situation of change calculates the healthy score of the target user, comprising: generates first according to the heart rate value of the target user
The factor is calculated, and generates second according to the heart rate value situation of change and calculates the factor；The weight for calculating the factor according to described first
The weight for calculating the factor with described second is weighted summation to the first calculating factor and the second calculating factor, obtains
To the healthy score of the target user.
In some embodiments of the invention, aforementioned schemes are based on, according to the heart rate value of the target user, by following
Formula generates described first and calculates the factor:
Wherein, s1Indicate that described first calculates the factor；F indicates the heart rate value of the target user；C1And C2Indicate constant,
And C2≤C1；α is the constant greater than 1.
In some embodiments of the invention, following public affairs are passed through according to the heart rate value situation of change based on aforementioned schemes
Formula calculates described second and calculates the factor:
s2=[C1-std(F1,F2,…,Fm)]×β
Wherein, s2Indicate that described second calculates the factor；C1Indicate constant；std(F1,F2,…,Fm) indicate according to the target
The standard deviation for multiple heart rate values that the heart rate value situation of change of user determines；β is the constant greater than 0.
In some embodiments of the invention, aforementioned schemes are based on, after the healthy score for calculating the target user,
The heart rate detection processing method further include: the healthy score based on the target user determines accepting insurance for the target user
Risk.
In some embodiments of the invention, aforementioned schemes are based on, after the heart rate value for calculating the target user, institute
State heart rate detection processing method further include: obtain the health data of the target user；Heart rate value based on the target user
With the health data of the target user, the incidence rate of the target user is predicted.
In some embodiments of the invention, aforementioned schemes, heart rate value and the mesh based on the target user are based on
The health data for marking user, predicts the incidence rate of the target user, comprising: according to the health data of historical user, heart rate
Data and incidence generate sample data；Machine learning model is trained by the sample data, after being trained
Model；The heart rate value of the health data of the target user and the target user is input to the model after the training
In, to obtain the incidence rate of the target user.
According to a second aspect of the embodiments of the present invention, a kind of heart rate detection processing unit is provided, comprising: acquiring unit,
For obtaining the multiframe facial image for the target user that continuous acquisition arrives；Comparison unit, being used for will be in the multiframe facial image
Target area compare, to determine the comparison difference of the target area respectively most in each section of continuous facial image
Small two field pictures；First computing unit, for calculating two frame determined in described each section continuous facial image
Time interval between image obtains at least one time interval；Second computing unit, for according at least one described time
Interval, calculates the heart rate value of the target user.
In some embodiments of the invention, aforementioned schemes are based on, the comparison unit is configured that continuous with described each section
Facial image in specified facial image benchmark as a comparison, calculate other faces in each section of continuous facial image
The comparison difference between target area in the target area of image and the specified facial image, with continuous at described each section
The smallest target facial image of the comparison difference between the specified facial image is determined in facial image；It will be described
The specified facial image and the target facial image in each section of continuous facial image is as each time window
The interior two field pictures.
In some embodiments of the invention, aforementioned schemes are based on, second computing unit is configured that calculating setting value
With the ratio between each time interval at least one described time interval, at least one predict heart rate value is obtained；By institute
State heart rate value of the average value of at least one predict heart rate value as the target user.
In some embodiments of the invention, aforementioned schemes, the heart rate detection processing unit are based on further include: monitoring
Unit, for monitoring the heart rate value situation of change of the target user；Third computing unit, for according to the target user's
Heart rate value and the heart rate value situation of change, calculate the healthy score of the target user.
In some embodiments of the invention, aforementioned schemes are based on, the third computing unit is configured that according to the mesh
The heart rate value for marking user generates first and calculates the factor, and generates second according to the heart rate value situation of change and calculate the factor；According to
Described first, which calculates the weight of the factor and described second, calculates the weight of the factor, calculates the factor and second meter to described first
It calculates the factor and is weighted summation, obtain the healthy score of the target user.
In some embodiments of the invention, aforementioned schemes are based on, the third computing unit is configured to through following public affairs
Formula generates described first and calculates the factor:
Wherein, s1Indicate that described first calculates the factor；F indicates the heart rate value of the target user；C1And C2Indicate constant,
And C2≤C1；α is the constant greater than 1.
In some embodiments of the invention, aforementioned schemes are based on, the third computing unit is configured to through following public affairs
Formula calculates described second and calculates the factor:
s2=[C1-std(F1,F2,…,Fm)]×β
Wherein, s2Indicate that described second calculates the factor；C1Indicate constant；std(F1,F2,…,Fm) indicate according to the target
The standard deviation for multiple heart rate values that the heart rate value situation of change of user determines；β is the constant greater than 0.
In some embodiments of the invention, aforementioned schemes, the heart rate detection processing unit are based on further include: determine
Unit determines the risk covered of the target user for the healthy score based on the target user.
In some embodiments of the invention, aforementioned schemes, the heart rate detection processing unit are based on further include: prediction
Unit；The acquiring unit is also used to obtain the health data of the target user；The predicting unit is used to be based on the mesh
The heart rate value of user and the health data of the target user are marked, predicts the incidence rate of the target user.
In some embodiments of the invention, aforementioned schemes are based on, the predicting unit is configured that according to historical user's
Health data, heart rate data and incidence generate sample data；Machine learning model is instructed by the sample data
Practice, the model after being trained；The heart rate value of the health data of the target user and the target user is input to described
In model after training, to obtain the incidence rate of the target user.
According to a third aspect of the embodiments of the present invention, a kind of computer-readable medium is provided, computer is stored thereon with
Program realizes the heart rate detection processing method as described in first aspect in above-described embodiment when described program is executed by processor.
According to a fourth aspect of the embodiments of the present invention, a kind of electronic equipment is provided, comprising: one or more processors；
Storage device, for storing one or more programs, when one or more of programs are held by one or more of processors
When row, so that one or more of processors realize the heart rate detection processing side as described in first aspect in above-described embodiment
Method.
Technical solution provided in an embodiment of the present invention can include the following benefits:
In the technical solution provided by some embodiments of the present invention, by distinguishing in each section of continuous facial image
Then the smallest two field pictures of comparison difference for determining target area are calculated and are determined in each section of continuous facial image
Time interval between two field pictures obtains at least one time interval, to calculate target according at least one time interval
The heart rate value of user makes it possible to be acquired the detection to realize heart rate value, this heart rate by the facial image to user
Detection mode while contacting without the heart rate detection equipment (such as ECG monitor) of profession without medical staff
Formula detection, effectively reduces requirement of the heart rate detection to medical resource, and also can be improved heart rate detection efficiency.In addition, by
In only the detection of heart rate need to can be realized by acquiring facial image, therefore medical institutions are gone to carry out heart rate inspection without user
It surveys, improves the convenience of heart rate detection.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
It can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.It should be evident that the accompanying drawings in the following description is only the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.In the accompanying drawings:
Fig. 1 diagrammatically illustrates the flow chart of heart rate detection processing method according to first embodiment of the invention；
Fig. 2 to Fig. 4 shows each section of continuous relationship of the picture frame in time series of embodiment according to the present invention
Schematic diagram；
Fig. 5 diagrammatically illustrates the flow chart of the heart rate detection processing method of second embodiment according to the present invention；
Fig. 6 diagrammatically illustrates the heart rate value according to target user and heart rate value according to an embodiment of the invention and becomes
Change situation, calculates the flow chart of the healthy score of target user；
Fig. 7 diagrammatically illustrates the flow chart of the heart rate detection processing method of third embodiment according to the present invention；
Fig. 8 diagrammatically illustrates the frame of the system that heart disease early stage sign is effectively predicted of embodiment according to the present invention
Figure；
The auxiliary that Fig. 9 diagrammatically illustrates embodiment according to the present invention carries out the block diagram for the system that intelligent core is protected；
Figure 10 diagrammatically illustrates the block diagram of heart rate detection processing unit according to an embodiment of the invention；
Figure 11 shows the structural schematic diagram for being suitable for the computer system for the electronic equipment for being used to realize the embodiment of the present invention.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes
Formula is implemented, and is not understood as limited to example set forth herein；On the contrary, thesing embodiments are provided so that the present invention will more
Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner
In example.In the following description, many details are provided to provide and fully understand to the embodiment of the present invention.However,
It will be appreciated by persons skilled in the art that technical solution of the present invention can be practiced without one or more in specific detail,
Or it can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side
Method, device, realization or operation are to avoid fuzzy each aspect of the present invention.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuit
These functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in the drawings is merely illustrative, it is not necessary to including all content and operation/step,
It is not required to execute by described sequence.For example, some operation/steps can also decompose, and some operation/steps can close
And or part merge, therefore the sequence actually executed is possible to change according to the actual situation.
Fig. 1 diagrammatically illustrates the flow chart of heart rate detection processing method according to first embodiment of the invention, should
The executing subject of heart rate detection processing method can be equipment with calculation processing function, such as server etc..
Shown in referring to Fig.1, heart rate detection processing method according to first embodiment of the invention includes the following steps
S110 is elaborated as follows to step S140:
In step s 110, the multiframe facial image for the target user that continuous acquisition arrives is obtained.
In one embodiment of the invention, the facial image of user can be acquired by camera, for example pass through end
The camera being arranged on (such as mobile phone, tablet computer etc.) is held to acquire the facial image of user, or by being arranged in physical examination
Equipment, interior (such as on pier glass) acquire the facial image of user.
In the step s 120, the target area in the multiframe facial image is compared, in each section of continuous people
The smallest two field pictures of comparison difference of the target area are determined in face image respectively.
In one embodiment of the invention, can using in facial image relatively clearly region as target area
Domain, in order to be analyzed and processed to facial image.It, then can be by the area Zheng Lian if being that positive face shines than collected facial image
Domain is as target area；If collected facial image is that side face is shone, can be using side face region as target area.
In one embodiment of the invention, it is acquired sequentially in time due to facial image in acquisition,
Therefore the picture frame in each section of continuous facial image all arranges in temporal sequence.Optionally, the continuous people of different sections
In time series be between face image it is continuous, than first segment image 201 as shown in Figure 2, second segment image 202, the
It is continuous between three sections of images 203 and the 4th section of image 204；Between the different continuous facial images of section in time series
Can be it is discontinuous, than first segment image 301 as shown in Figure 3, second segment image 302, third section image 303 and the 4th
It is discontinuous between section image 304；Certainly, it is also possible to intersect in time series between the continuous facial image of different sections
, there is the picture frame intersected, second segment image 402 than first segment image 401 as shown in Figure 4 and second segment image 402
There is the picture frame intersected with third section image 403, there is the picture frame intersected in third section image 403 and the 4th section of image 404,
There is the picture frame intersected in the 4th section of image 404 and the 5th section of image 405.In addition, in other embodiments of the invention, each section
Continuous relationship of the picture frame in time series can also be the combination of Fig. 2 to various relationships shown in Fig. 4, such as wherein several
The continuous image of section is to intersect, and other several sections of continuous images are discontinuous in time series in time series
's.
In one embodiment of the invention, can using the specified facial image in each section of continuous facial image as pair
Than benchmark, the mesh in the target area and the specified facial image of other facial images in each section of continuous facial image is calculated
The comparison difference between region is marked, to determine to specify the comparison between facial image with this in each section of continuous facial image
The smallest target facial image of difference, then by specified facial image and target face figure in each section of continuous facial image
As the two field pictures in each time window.Optionally, which can be each section of continuous people
First frame image in face image is also possible to relatively clearly image, or the frame image arbitrarily chosen.
With continued reference to shown in Fig. 1, in step s 130, the institute determined in described each section continuous facial image is calculated
The time interval between two field pictures is stated, at least one time interval is obtained.
In an embodiment of the present invention, when there is the continuous facial image of multistage, all for every section of continuous facial image
It can therefrom select above-mentioned two field pictures, and then can all be calculated for every section of continuous facial image between a time
Every.
In step S140, according at least one described time interval, the heart rate value of the target user is calculated.
In an embodiment of the present invention, when heart is after a systole phase and diastole, blood circulation is to face-image
Influence it is closest, therefore the target area determined in each section of continuous facial image in the above embodiment of the present invention
The time that the time interval actually heart between the smallest two field pictures of difference passes through a systole phase and diastole is compared, because
This can calculate the heart rate value of user based on the time interval.
In one embodiment of the invention, calculate target user heart rate value when, can calculate setting value and this extremely
The ratio between each time interval in a few time interval, obtains at least one predict heart rate value, then will at least one
Heart rate value of the average value of a predict heart rate value as target user.Wherein, if only one time interval, when will be according to this
Between heart rate value of the obtained predict heart rate value of interval calculation as user.Optionally, which can be 60, or can also be with
It is 59,61 etc..
The technical solution of embodiment illustrated in fig. 1 makes it possible to be acquired by the facial image to user to realize heart rate
The detection of value effectively reduces requirement of the heart rate detection to medical resource, and also can be improved heart rate detection efficiency.In addition,
Due to that only the detection of heart rate need to can be realized by acquiring facial image, medical institutions are gone to carry out heart rate without user
Detection, improves the convenience of heart rate detection.
Fig. 5 diagrammatically illustrates the flow chart of the heart rate detection processing method of second embodiment according to the present invention, should
The executing subject of heart rate detection processing method can be equipment with calculation processing function, such as server etc..
Referring to Figure 5, the heart rate detection processing method of second embodiment according to the present invention, includes the following steps
S510 is elaborated as follows to step S520:
In step S510, the heart rate value situation of change of monitoring objective user.
In one embodiment of the invention, can be continued using the heart rate value calculating method described in previous embodiment
Or it is periodically detected the heart rate value of target user, with the heart rate value situation of change of monitoring objective user.
In step S520, according to the heart rate value of the target user and the heart rate value situation of change, the mesh is calculated
Mark the healthy score of user.
In one embodiment of the invention, as shown in fig. 6, according to the heart rate value of target user and heart rate in step S520
It is worth situation of change, calculates the process of the healthy score of target user, may include steps of:
Step S610 generates first according to the heart rate value of target user and calculates the factor, and changes feelings according to the heart rate value
Condition generates second and calculates the factor.
In one embodiment of the invention, can according to the heart rate value of target user, generated by following formula described in
First calculates the factor:
Wherein, s1Indicate that described first calculates the factor；F indicates the heart rate value of the target user；C1And C2Indicate constant,
And C2≤C1；α is the constant greater than 1.Optionally, C1Value can select 100 or so, for example can choose 100；C2Value can be with
60 or so are selected, for example can choose 60.
In one embodiment of the invention, described can be calculated by the following formula according to heart rate value situation of change
Two calculate the factor:
s2=[C1-std(F1,F2,…,Fm)]×β
Wherein, s2Indicate that described second calculates the factor；C1Indicate constant；std(F1,F2,…,Fm) indicate according to the target
The standard deviation for multiple heart rate values that the heart rate value situation of change of user determines；β is the constant greater than 0.Optionally, C1Value can be with
100 or so are selected, for example can choose 100.
Step S620, the weight for calculating the factor according to described first and described second calculate the factor weight, to described the
The one calculating factor and the second calculating factor are weighted summation, obtain the healthy score of the target user.
In one embodiment of the invention, it after the healthy score for calculating target user, can be used based on the target
The healthy score at family, determines the risk covered of target user.For example it can be determined according to the range where healthy score corresponding
Health Category determines risk covered according to the Health Category.Specifically, the healthy score of target user is higher, then explanation is accepted insurance
Risk is lower.
The technical solution of embodiment illustrated in fig. 5 makes it possible to the heart rate by detecting user to determine the healthy journey of user
Degree, and then on the one hand on the other hand can also assist carrying out intelligent core guarantor in time to user reminding health condition.
Fig. 7 diagrammatically illustrates the flow chart of the heart rate detection processing method of third embodiment according to the present invention, should
The executing subject of heart rate detection processing method can be equipment with calculation processing function, such as server etc..
Referring to shown in Fig. 7, the heart rate detection processing method of third embodiment according to the present invention includes the following steps
S710 is elaborated as follows to step S720:
In step S710, the health data of target user is obtained.
In one embodiment of the invention, the health data of user may include gender, age, heart rate per minute, the heart
Rate degree of fluctuation (amplitude of changes in heart rate in former and later two measurement periods) and whether there is or not history of heart disease etc..
In step S720, the health data of heart rate value and the target user based on the target user predicts institute
State the incidence rate of target user.
In one embodiment of the invention, the incidence rate of target user can be predicted by machine learning model.
For example sample data can be generated according to the health data, heart rate data and incidence of historical user, then pass through the sample
Data are trained machine learning model, the model after being trained, and then the health data of target user and target are used
The heart rate value at family is input in the model after training, to obtain the incidence rate of target user.Optionally, machine learning model can
To be convolutional neural networks model (Convolutional Neural Network, CNN), Recognition with Recurrent Neural Network model
Neural network models such as (Recurrent Neural Network, RNN).
The technical solution of embodiment illustrated in fig. 7 makes it possible to general come the morbidity for predicting user by the heart rate for detecting user
Rate, and then in time to user reminding prediction case.
The device of the invention embodiment is introduced below in conjunction with attached drawing.
Fig. 8 diagrammatically illustrates the frame of the system that heart disease early stage sign is effectively predicted of embodiment according to the present invention
Figure.
Referring to shown in Fig. 8, the system that heart disease early stage sign is effectively predicted of embodiment according to the present invention be can wrap
It includes: image capture subsystem 801, image processing subsystem 802, rate calculation subsystem 803,804 and of atrial fibrillation predicting subsystem
Early warning subsystem 805.
Wherein, image capture subsystem 801 is used to acquire the facial image of user.In one embodiment of the invention,
One common IP Camera can be installed behind household pier glass to acquire the facial image of user, in order to protect user
Individual privacy, a switch can be set for the IP Camera, when can close in the case where not needing monitor heart rate
The camera.The camera can acquire one or more facial images simultaneously, these facial images pass through wired or wireless net
Network connects local or the server in cloud carries out storage and management.
It should be noted that if camera collects multiple facial images, then needs to carry out recognition of face and belong to determine
The facial image of the same person.
The major function of image processing subsystem 802 is that relevant face figure is extracted from the consecutive image of time series
Then picture is chosen relatively with the method for sliding window (general camera is per second can to intercept 30 photograph frames) in sliding window
Clearly image is as target facial image I1, record the shooting time t of the image1；Then according to opposite between different images
Positioning successively calculates the mesh of each image in sliding window (length of sliding window can be set according to the normal range (NR) of heart rate)
Mark region and target facial image I1Target area between comparison difference；And then determine in sliding window with moment t1It claps
The target facial image I taken the photograph1The smallest facial image I of comparison difference2Shooting time t2。
Rate calculation subsystem 803 is used for the shooting time t according to aforementioned determination1With shooting time t2Calculate the heart of prediction
Rate f1.Optionally,Wherein heart rate is the number of heartbeat per minute, t1And t2Unit be the second.
Then random forward slip window p seconds in time series, and predict heart rate value is repeatedly calculated, obtains f2,
f3,....fn.Then the average value for calculating these predict heart rate values, using the average value as the heart rate value detected.Thus may be used
The changes in heart rate of the change frequency monitoring people of facial image is analyzed in a manner of through time slide window, so as to
Realize untouchable automatic quick rhythm of the heart.
Atrial fibrillation predicting subsystem 804 be used to be established according to rhythm of the heart result and tested personnel's relevant information it is more it is dangerous because
Plain assessment models, the probability that the heart diseases such as prediction atrial fibrillation occur.
In one embodiment of the invention, the risk factor X considered in more hazard factor assessment models may include
Gender, age, heart rate value, heart rate volatility (amplitude of changes in heart rate in former and later two detection cycles) and whether there is or not history of heart disease
Deng.Optionally, prediction process is as follows: a, by every class risk factor XiBy being divided horizontally into different brackets, such as can be by heart rate
It is divided into three grades: being 1. less than 100 times per minute, 2. 100 times to 160 times per minute, be 3. greater than 160 times per minute；By the heart
Rate fluctuation is divided into two grades: 1. amplitude of variation is less than 30%, and 2. amplitude of variation is more than or equal to 30%；B, believed by historical data
Breath carries out model training and obtains the conditional probability distribution table of different risk factors, finds under the conditions of atrial fibrillation Y according to the probability tables
Conditional probability when the corresponding grade of each risk factor occurs, multiplication obtain P (X=x | Y=atrial fibrillation)；C, according to Bayesian formula
P (X, Y=atrial fibrillation)=P (Y=atrial fibrillation) * P (X=x | Y=atrial fibrillation) calculate the probability that atrial fibrillation occurs.
Early warning subsystem 805 is used for according to the probability of the heart rate monitored and the generation atrial fibrillation predicted in time to relevant people
Member sends early warning information, realizes the purpose of early prevention, early treatment.
The auxiliary that Fig. 9 diagrammatically illustrates embodiment according to the present invention carries out the block diagram for the system that intelligent core is protected.
Referring to shown in Fig. 9, it may include: image that the auxiliary of embodiment according to the present invention, which carries out the system that intelligent core is protected,
Absorb subsystem 901, image processing subsystem 902, rate calculation subsystem 903, health assessment model subsystem 904 and auxiliary
Intelligent core protects subsystem 905.
Wherein, image capture subsystem 901 is used to acquire the facial image of user.In one embodiment of the invention,
It can be handled in physical examination device or insurance and a common IP Camera is installed on sales counter acquire the facial image of user, be
A switch can be arranged, when the case where not needing monitor heart rate in the individual privacy of protection user for the IP Camera
Under can close the camera.The camera can acquire one or more facial images simultaneously, these facial images are by having
Line or the server of wireless network connection local or cloud carry out storage and management.
It should be noted that if camera collects multiple facial images, then needs to carry out recognition of face and belong to determine
The facial image of the same person.
The major function of image processing subsystem 902 is that relevant face figure is extracted from the consecutive image of time series
Then picture is chosen relatively with the method for sliding window (general camera is per second can to intercept 30 photograph frames) in sliding window
Clearly image is as target facial image I1, record the shooting time t of the image1；Then according to opposite between different images
Positioning successively calculates the mesh of each image in sliding window (length of sliding window can be set according to the normal range (NR) of heart rate)
Mark region and target facial image I1Target area between comparison difference；And then determine in sliding window with moment t1It claps
The target facial image I taken the photograph1The smallest facial image I of comparison difference2Shooting time t2。
Rate calculation subsystem 903 is used for the shooting time t according to aforementioned determination1With shooting time t2Calculate the heart of prediction
Rate f1.Optionally,Wherein heart rate is the number of heartbeat per minute, t1And t2Unit be the second.
Then random forward slip window p seconds in time series, and predict heart rate value is repeatedly calculated, obtains f2,
f3,....fn.Then the average value F for calculating these predict heart rate values, using average value F as the heart rate value detected.Longer
A period of time in, the heart rate value situation of change for continuing to monitor the user in time period (can supervise through the above way
Survey), obtain m heart rate value, respectively F1,F2,F3,...,Fm, that is, it is the Rule of Change of Heart Rate in this time.
Health assessment model subsystem 904 is used to be calculated respectively according to the heart rate value and Rule of Change of Heart Rate that are calculated
The heart rate value factor and the Rule of Change of Heart Rate factor, and calculate with this healthy score of user.
In one embodiment of the invention, the calculation formula of heart rate value factor s1 can be with are as follows:
The calculation formula of Rule of Change of Heart Rate factor s2 can be with are as follows:
S2=(100-std (F1, F2 ... Fm)) * β, β > 0,0≤s2≤100
The calculation formula of the healthy score S of user can be with are as follows:
S=δ 1*s1+ δ 2*s2
Wherein, 1≤1 0≤δ, 0≤δ 2≤1, δ 1+ δ 2=1.
After the healthy score S of user is calculated, 1-5 totally 5 etc. can be divided into according to the height of healthy score
Grade, the more high-grade score the higher, and risk covered is lower.
It assists intelligent core to protect the evaluation result that subsystem 905 is used to that existing health insurance core to be combined to protect case to carry out system
Verifying, and the computation model of system parameter and healthy score is optimized, it is protected with this effectively auxiliary health insurance intelligence core.
Figure 10 diagrammatically illustrates the block diagram of heart rate detection processing unit according to an embodiment of the invention.
Referring to Fig.1 shown in 0, heart rate detection processing unit 1000 according to an embodiment of the invention, comprising: obtain single
Member 1002, comparison unit 1004, the first computing unit 1006 and the second computing unit 1008.
Wherein, acquiring unit 1002 is used to obtain the multiframe facial image for the target user that continuous acquisition arrives；Comparison unit
1004 for comparing the target area in the multiframe facial image, with true respectively in each section of continuous facial image
Make the smallest two field pictures of comparison difference of the target area；First computing unit 1006 is for calculating in each section of company
The time interval between the two field pictures determined in continuous facial image, obtains at least one time interval；Second meter
Unit 1008 is calculated to be used to calculate the heart rate value of the target user according at least one described time interval.
In one embodiment of the invention, comparison unit 1004 is configured that in described each section continuous facial image
Specified facial image benchmark as a comparison, calculate the target area of other facial images in each section of continuous facial image
The comparison difference between target area in domain and the specified facial image, with true in described each section continuous facial image
Make the smallest target facial image of the comparison difference between the specified facial image；By each section of continuous people
The specified facial image and the target facial image in face image is as two frame in each time window
Image.
In one embodiment of the invention, the second computing unit 1008, which is configured that, calculates setting value and described at least one
The ratio between each time interval in a time interval, obtains at least one predict heart rate value；At least one is pre- by described in
Heart rate value of the average value of heart rate measuring value as the target user.
In one embodiment of the invention, the heart rate detection processing unit 1000 further include: monitoring unit is used for
Monitor the heart rate value situation of change of the target user；Third computing unit, for according to the heart rate value of the target user and
The heart rate value situation of change calculates the healthy score of the target user.
In one embodiment of the invention, the third computing unit is configured that the heart rate according to the target user
Value generates first and calculates the factor, and generates second according to the heart rate value situation of change and calculate the factor；It is calculated according to described first
The weight of the weight of the factor and the second calculating factor adds the first calculating factor and the second calculating factor
Power summation, obtains the healthy score of the target user.
In one embodiment of the invention, the third computing unit is configured to generate described first by following formula
Calculate the factor:
Wherein, s1Indicate that described first calculates the factor；F indicates the heart rate value of the target user；C1And C2Indicate constant,
And C2≤C1；α is the constant greater than 1.
In one embodiment of the invention, the third computing unit is configured to be calculated by the following formula described second
Calculate the factor:
s2=[C1-std(F1,F2,…,Fm)]×β
Wherein, s2Indicate that described second calculates the factor；C1Indicate constant；std(F1,F2,…,Fm) indicate according to the target
The standard deviation for multiple heart rate values that the heart rate value situation of change of user determines；β is the constant greater than 0.
In one embodiment of the invention, the heart rate detection processing unit 1000 further include: determination unit is used for
Healthy score based on the target user, determines the risk covered of the target user.
In one embodiment of the invention, the heart rate detection processing unit 1000 further include: predicting unit；It is described
Acquiring unit is also used to obtain the health data of the target user；The predicting unit is used for the heart based on the target user
The health data of rate value and the target user predicts the incidence rate of the target user.
In one embodiment of the invention, the predicting unit is configured that the health data according to historical user, heart rate
Data and incidence generate sample data；Machine learning model is trained by the sample data, after being trained
Model；The heart rate value of the health data of the target user and the target user is input to the model after the training
In, to obtain the incidence rate of the target user.
Due to each functional module and above-mentioned heart rate detection of the heart rate detection processing unit of example embodiments of the present invention
The step of example embodiment of processing method, is corresponding, therefore for undisclosed details in apparatus of the present invention embodiment, please refers to
The embodiment of the above-mentioned heart rate detection processing method of the present invention.
Below with reference to Figure 11, it illustrates the computer systems for the electronic equipment for being suitable for being used to realize the embodiment of the present invention
1100 structural schematic diagram.The computer system 1100 of electronic equipment shown in Figure 11 is only an example, should not be to the present invention
The function and use scope of embodiment bring any restrictions.
As shown in figure 11, computer system 1100 include central processing unit (CPU) 1101, can according to be stored in only
It reads the program in memory (ROM) 1102 or is loaded into random access storage device (RAM) 1103 from storage section 1108
Program and execute various movements appropriate and processing.In RAM 1103, be also stored with various programs needed for system operatio and
Data.CPU 1101, ROM 1102 and RAM 1103 are connected with each other by bus 1104.Input/output (I/O) interface 1105
It is also connected to bus 1104.
I/O interface 1105 is connected to lower component: the importation 1106 including keyboard, mouse etc.；Including such as cathode
The output par, c 1107 of ray tube (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section including hard disk etc.
1108；And the communications portion 1109 of the network interface card including LAN card, modem etc..Communications portion 1109 passes through
Communication process is executed by the network of such as internet.Driver 1110 is also connected to I/O interface 1105 as needed.It is detachable to be situated between
Matter 1111, such as disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 1110, so as to
In being mounted into storage section 1108 as needed from the computer program read thereon.
Particularly, according to an embodiment of the invention, may be implemented as computer above with reference to the process of flow chart description
Software program.For example, the embodiment of the present invention includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed from network by communications portion 1109, and/or from detachable media
1111 are mounted.When the computer program is executed by central processing unit (CPU) 1101, executes in the system of the application and limit
Above-mentioned function.
It should be noted that computer-readable medium shown in the present invention can be computer-readable signal media or meter
Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not
Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter
The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires
Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In the present invention, computer readable storage medium can be it is any include or storage journey
The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this
In invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned
Any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, 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.
Being described in unit involved in the embodiment of the present invention can be realized by way of software, can also be by hard
The mode of part realizes that described unit also can be set in the processor.Wherein, the title of these units is in certain situation
Under do not constitute restriction to the unit itself.
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be
Included in electronic equipment described in above-described embodiment；It is also possible to individualism, and without in the supplying electronic equipment.
Above-mentioned computer-readable medium carries one or more program, when the electronics is set by one for said one or multiple programs
When standby execution, so that the electronic equipment realizes such as above-mentioned heart rate detection processing method as described in the examples.
For example, the electronic equipment may be implemented as shown in Figure 1: step S110 obtains the mesh that continuous acquisition arrives
Mark the multiframe facial image of user；Step S120 compares the target area in the multiframe facial image, at each section
The smallest two field pictures of comparison difference of the target area are determined in continuous facial image respectively；Step S130 is calculated
Time interval between the two field pictures determined in described each section continuous facial image, obtains at least one time
Interval；Step S140 calculates the heart rate value of the target user according at least one described time interval.
For another example, each step as shown in Figures 5 to 7 may be implemented in the electronic equipment.
It should be noted that although being referred to several modules or list for acting the equipment executed in the above detailed description
Member, but this division is not enforceable.In fact, embodiment according to the present invention, it is above-described two or more
Module or the feature and function of unit can embody in a module or unit.Conversely, an above-described mould
The feature and function of block or unit can be to be embodied by multiple modules or unit with further division.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the present invention
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, touch control terminal or network equipment etc.) executes embodiment according to the present invention
Method.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or
Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the present invention
Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.
Claims (13)
1. a kind of heart rate detection processing method characterized by comprising
Obtain the multiframe facial image for the target user that continuous acquisition arrives；
Target area in the multiframe facial image is compared, to be determined respectively in each section of continuous facial image
The smallest two field pictures of comparison difference of the target area；
The time interval between the two field pictures determined in described each section continuous facial image is calculated, is obtained at least
One time interval；
According at least one described time interval, the heart rate value of the target user is calculated.
2. heart rate detection processing method according to claim 1, which is characterized in that by the mesh in the multiframe facial image
Mark region compares, to determine that the comparison difference of the target area is the smallest respectively in each section of continuous facial image
Two field pictures, comprising:
With the benchmark as a comparison of the specified facial image in described each section continuous facial image, each section of continuous people is calculated
The comparison difference between target area in the target area of other facial images in face image and the specified facial image,
To determine that the comparison difference between the specified facial image is the smallest in described each section continuous facial image
Target facial image；
Using in described each section continuous facial image the specified facial image and the target facial image as described each
The two field pictures in a time window.
3. heart rate detection processing method according to claim 1, which is characterized in that according between at least one described time
Every calculating the heart rate value of the target user, comprising:
The ratio between each time interval in setting value and at least one described time interval is calculated, it is pre- to obtain at least one
Heart rate measuring value；
Using the average value of at least one predict heart rate value as the heart rate value of the target user.
4. heart rate detection processing method according to claim 1, which is characterized in that further include:
Monitor the heart rate value situation of change of the target user；
According to the heart rate value of the target user and the heart rate value situation of change, the healthy score of the target user is calculated.
5. heart rate detection processing method according to claim 4, which is characterized in that according to the heart rate value of the target user
With the heart rate value situation of change, the healthy score of the target user is calculated, comprising:
First is generated according to the heart rate value of the target user and calculates the factor, and generates second according to the heart rate value situation of change
Calculate the factor；
The weight and described second that calculate the factor according to described first calculate the weight of the factor, calculate the factor and institute to described first
It states the second calculating factor and is weighted summation, obtain the healthy score of the target user.
6. heart rate detection processing method according to claim 5, which is characterized in that according to the heart rate of the target user
Value generates described first by following formula and calculates the factor:
Wherein, s1Indicate that described first calculates the factor；F indicates the heart rate value of the target user；C1And C2Indicate constant, and C2≤
C1；α is the constant greater than 1.
7. heart rate detection processing method according to claim 5, which is characterized in that according to the heart rate value situation of change,
It is calculated by the following formula described second and calculates the factor:
s2=[C1-std(F1,F2,…,Fm)]×β
Wherein, s2Indicate that described second calculates the factor；C1Indicate constant；std(F1,F2,…,Fm) indicate according to the target user
Heart rate value situation of change determine multiple heart rate values standard deviation；β is the constant greater than 0.
8. according to the described in any item heart rate detection processing methods of claim 4 to 7, which is characterized in that calculating the target
After the healthy score of user, the heart rate detection processing method further include:
Healthy score based on the target user, determines the risk covered of the target user.
9. heart rate detection processing method according to claim 1, which is characterized in that in the heart rate for calculating the target user
After value, the heart rate detection processing method further include:
Obtain the health data of the target user；
The health data of heart rate value and the target user based on the target user, predicts that the morbidity of the target user is general
Rate.
10. heart rate detection processing method according to claim 9, which is characterized in that the heart rate based on the target user
The health data of value and the target user, predicts the incidence rate of the target user, comprising:
Sample data is generated according to the health data, heart rate data and incidence of historical user；
Machine learning model is trained by the sample data, the model after being trained；
The heart rate value of the health data of the target user and the target user is input in the model after the training, with
Obtain the incidence rate of the target user.
11. a kind of heart rate detection processing unit characterized by comprising
Acquiring unit, for obtaining the multiframe facial image for the target user that continuous acquisition arrives；
Comparison unit, for comparing the target area in the multiframe facial image, in each section of continuous face figure
Determine the smallest two field pictures of comparison difference of the target area respectively as in；
First computing unit, for calculating between the two field pictures determined in described each section continuous facial image
Time interval obtains at least one time interval；
Second computing unit, for calculating the heart rate value of the target user according at least one described time interval.
12. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is held by processor
The heart rate detection processing method as described in any one of claims 1 to 10 is realized when row.
13. a kind of electronic equipment characterized by comprising
One or more processors；
Storage device, for storing one or more programs, when one or more of programs are by one or more of processing
When device executes, so that one or more of processors are realized at the heart rate detection as described in any one of claims 1 to 10
Reason method.
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Cited By (1)
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| CN113951855A (en) * | 2021-02-01 | 2022-01-21 | 南京云思创智信息科技有限公司 | Non-contact heart rate measuring method based on human face |
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