CN106295204A

CN106295204A - The input method of health data and device

Info

Publication number: CN106295204A
Application number: CN201610674252.1A
Authority: CN
Inventors: 林海波
Original assignee: SHENZHEN WISDOM TECHNOLOGY Co Ltd
Current assignee: SHENZHEN WISDOM TECHNOLOGY Co Ltd
Priority date: 2016-08-16
Filing date: 2016-08-16
Publication date: 2017-01-04

Abstract

The invention discloses the input method of a kind of health data, the input method of described health data is applied to mobile terminal, and the method includes: receive the typing instruction that user triggers；The health data obtaining up-to-date typing according to described typing instruction and the health data prediction algorithm preset；Health data and described prediction algorithm according to described up-to-date typing calculate, it is thus achieved that the health data of prediction；Receive the preservation instruction that user triggers, by the health data input database of prediction.The invention also discloses the input device of a kind of health data.The present invention can reduce the difficulty of user's typing health data, improves input speed and the accuracy of health data, the operation of convenient user.

Description

The input method of health data and device

Technical field

The present invention relates to field of medical technology, particularly relate to input method and the device of a kind of health data.

Background technology

At current mid-aged population, the health data of the aspects such as user can often measure blood pressure, blood glucose, and need after measuring When being applied by data inputting to mobile phone, user needs Select input object, typing object to be inputted after Select input object Numerical value, finally could be by comparatively laborious to health data input database, process, the input speed of health data is the most relatively Slowly.

Meanwhile, the most mostly use the mode of simple keyboard, carry out the typing of health data.But middle-aged and elderly people is entering During row typing health data, owing to middle-aged and elderly people there may be the situation such as presbyopia and hand shaking, often typing mistake Data, the accuracy rate causing the health data of typing is the highest.

Summary of the invention

Present invention is primarily targeted at input method and the device of a kind of health data, it is intended to solve user's typing healthy The problem that during data, process is loaded down with trivial details, speed is unhappy, accuracy rate is the highest.

For achieving the above object, the processing method of a kind of health data that the present invention provides, the typing of described health data Method is applied to mobile terminal, said method comprising the steps of:

Receive the typing instruction that user triggers；

The health data obtaining up-to-date typing according to described typing instruction and the health data prediction algorithm preset；

Health data and described prediction algorithm according to described up-to-date typing calculate, it is thus achieved that the health data of prediction；

Receive the preservation instruction that user triggers, by the health data input database of prediction.

Preferably, described receive user trigger preservation instruction, by prediction health data input database step it Before, also include:

Receive user to slide the amendment instruction that the scale of display is triggered on described mobile terminal；

Health data according to described amendment instruction modification prediction；

The preservation instruction that the described user of reception triggers, also includes the step of the health data input database of prediction:

Instruction is preserved, by amended health data input database according to described.

Preferably, the described step according to the health data of described amendment instruction modification prediction includes:

According to described amendment instruction, it is thus achieved that amended health data, and show.

Preferably, the described health data according to described up-to-date typing and described prediction algorithm calculate, it is thus achieved that prediction The step of health data include:

Record user revises number of times and the total degree of typing health data of the health data of prediction；

Revise number of times and the total degree of typing health data of the health data of prediction according to described user, calculate to obtain and use The amendment probability at family；

If the amendment probability of user is more than predetermined probabilities, then using the health data of the last typing as the health predicted Data；

If the amendment probability of user is less than or equal to predetermined probabilities, then according to health data and the prediction of nearest twice typing Algorithm obtains the health data of prediction.

Preferably, if the amendment probability of described user is less than or equal to predetermined probabilities, then being good for according to nearest twice typing The step of the health data that health data and prediction algorithm obtain prediction includes:

Obtain the health data of nearest twice typing, if the health data of the last typing is the first data, another time The health data of typing is the second data；

Calculate the difference of the health data of nearest twice typing；

If the first data are more than or equal to the second data, then the health data predicted is that the first data deduct the first data Difference with the second data；

If the first data are less than the second data, then the health data predicted is that the first data are plus the first data and the second number According to difference.

Additionally, for achieving the above object, the present invention also provides for the input device of a kind of health data, and described device is applied to Mobile terminal, described device includes:

First receiver module, for receiving the typing instruction that user triggers；

Acquisition module, pre-for the health data and the health data preset obtaining nearest typing according to described typing instruction Method of determining and calculating；

Computing module, for calculating according to health data and the described prediction algorithm of described nearest typing, it is thus achieved that pre- The health data surveyed；

Typing module, for receiving the preservation instruction that user triggers, by the health data input database of prediction.

Preferably, described device also included before typing module:

Second receiver module, refers to for receiving user's amendment that the scale of display is triggered on described mobile terminal of sliding Order；

Modified module, for the health data according to described amendment instruction modification prediction；

Described typing module also includes:

Typing unit, for preserving instruction, by amended health data input database according to described.

Preferably, described modified module includes:

Display unit, for according to described amendment instruction, it is thus achieved that amended health data, and shows.

Preferably, described computing module includes:

Record unit, revises the number of times of health data and the total degree of typing health data of prediction for recording user；

Computing unit, for revising the number of times of the health data of prediction and the total secondary of typing health data according to described user Number, carries out calculating the amendment probability obtaining user；

First amendment unit, if the amendment probability for user is more than predetermined probabilities, then by the health of the last typing Data are as the health data of prediction；

Second amendment unit, if the amendment probability for user is less than or equal to predetermined probabilities, then according to nearest twice record The health data entered and prediction algorithm obtain the health data of prediction.

Preferably, described second amendment unit includes:

Obtain subelement, for obtaining the health data of nearest twice typing, if the health data of the last typing is First data, the health data of another typing is the second data；

Computation subunit, for calculating the difference of the health data of nearest twice typing；

First amendment subelement, if for the first data more than or equal to the second data, then the health data predicted is First data deduct the first data and the difference of the second data；

Second amendment subelement, if for the first data less than the second data, then the health data predicted is the first data Plus the first data and the difference of the second data.

The typing triggered by receiving user in the present invention instructs；The health of up-to-date typing is obtained according to described typing instruction Data and the health data prediction algorithm preset；Health data and described prediction algorithm according to described up-to-date typing are counted Calculate, it is thus achieved that the health data of prediction；After receiving the preservation instruction that user triggers, by the health data input database of prediction.Logical Crossing aforesaid way, user, when user's typing health data, will be recorded by the present invention by default health data prediction algorithm The health data entered is predicted, it is thus achieved that corresponding prediction health data, if prediction data and user will the health of typing Data are identical, then user can directly preserve, and decrease user's input process, it is achieved process is simple, and can accelerate healthy number According to input speed.Owing to decreasing user's input process, therefore decrease person in middle and old age user when typing health data, will not Because presbyopia causes logging data to make a mistake with having one's fingers all thumbs such that it is able to improve the typing accuracy of health data.

Accompanying drawing illustrates:

Fig. 1 is the schematic flow sheet of the input method first embodiment of health data of the present invention；

Fig. 2 is the schematic flow sheet of input method second embodiment of health data of the present invention；

Fig. 3 is that health data and described prediction algorithm according to up-to-date typing described in Fig. 1 calculates, it is thus achieved that prediction The refinement schematic flow sheet of health data；

If the amendment probability that Fig. 4 is user described in Fig. 3 is less than or equal to predetermined probabilities, then according to nearest twice typing Health data and prediction algorithm obtain the refinement schematic flow sheet of the health data of prediction；

Fig. 5 is the high-level schematic functional block diagram of the input device first embodiment of health data of the present invention；

Fig. 6 is the high-level schematic functional block diagram of input device second embodiment of health data of the present invention；

Fig. 7 is the refinement high-level schematic functional block diagram of computing module in Fig. 5；

Fig. 8 is the refinement high-level schematic functional block diagram of the second amendment unit in Fig. 7；

Fig. 9 is the input interface schematic diagram of blood glucose level data of the present invention；

Figure 10 is the input interface schematic diagram of blood pressure data of the present invention.

The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further referring to the drawings.

Detailed description of the invention

Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.

The present invention provides the input method of a kind of health data.

Schematic flow sheet with reference to the input method first embodiment that Fig. 1, Fig. 1 are health data of the present invention.

In the present embodiment, described method is applied to mobile terminal, said method comprising the steps of:

Step S100, receives the typing instruction that user triggers；

In the present embodiment, described mobile terminal includes smart mobile phone and panel computer.Described typing instruction is that user is led to Cross the control menu of mobile terminal, generate after Select input object, naturally it is also possible to generate record according to the input content of user Enter instruction.In the present embodiment, user's control menu by mobile terminal, the object of Select input, mobile terminal is according to choosing The content selected generates typing instruction, and certain user can also need the object of typing by mobile terminal input, then moves eventually The content according to input is held to generate the instruction of typing blood glucose.Such as, in the present embodiment, user is selected by the control menu of mobile terminal The object selecting typing is blood glucose or blood pressure, and mobile terminal then generates blood glucose or the typing of blood pressure data according to the correspondence that selects of user Instruction, mobile terminal enters blood glucose or the input interface of blood pressure data.If user is blood by the object of input typing certainly Sugar or blood pressure, then the content that mobile terminal inputs according to user enters corresponding blood glucose or the input interface of blood pressure data.

Step S200, the health data obtaining up-to-date typing according to described typing instruction is calculated in advance with the health data preset Method；

Mobile terminal, after receiving the typing instruction that user triggers, instructs from data base according to the typing that user triggers The health data obtaining up-to-date typing and the health data prediction algorithm preset.Wherein, in the present embodiment, described health data Include but not limited to blood glucose level data and blood pressure data.In being embodied as, it is also possible to include heart rate data.In the present embodiment, institute State prediction algorithm and predict health data according to the health data of nearest twice typing.In being embodied as, it is also possible to according to recently The average of the health data of a week or typing in nearest month predicts health data.The most just say that the health data of up-to-date typing can Being nearest twice, nearest one week, or the health data of typing in nearest month.If it should be strongly noted that mobile terminal For using for the first time, mobile terminal does not exist the health data of user's typing, i.e. acquisition for mobile terminal less than up-to-date typing Health data, now can prestore a health data in the terminal, and the health data prestored can be the one of normal users Secondary measurement data, mobile terminal when using for the first time, then obtains the health data prestored.Can not also move in being embodied as Prestore in dynamic terminal a health data, and now the health data obtaining up-to-date typing of mobile terminal is then 0.

Step S300, health data and described prediction algorithm according to described up-to-date typing calculate, it is thus achieved that prediction Health data；

After mobile terminal obtains health data and the default health data prediction algorithm of up-to-date typing in data set storehouse, Health data according to up-to-date typing and the health data prediction algorithm preset calculate, it is thus achieved that the health data of prediction.Example As, it was predicted that algorithm predicts health data according to the average of the health data of typing in nearest a week.First, mobile terminal obtains The health data of typing in nearly a week, then mobile terminal obtains the average of nearest one week health data by analytical calculation, will The average arrived is as the health data of prediction.Assume the blood glucose level data of certain user typing in nearest a week be respectively 4.8mmol/L, 5mmol/L、5.2mmol/L、5.4mmol/L、4.6mmol/L、5.3mmol/L、4.7mmol/L.Mobile terminal is in data base Obtaining this user blood glucose level data of nearest a week, then analytical calculation obtains the average of nearest one week blood glucose level data of this user and is 5mmol/L, the average of gained is exactly the blood glucose level data of prediction.If mobile terminal is to use for the first time, then can be according to acquisition Prestore health data and prediction algorithm calculates, it is thus achieved that corresponding predictive value, or do not get the health data that prestores Time, it is thus achieved that predictive value be 0.

In the present embodiment when obtaining the health data of prediction, on mobile terminal screen, also show the healthy number of prediction According to, to facilitate user to check.In being embodied as, when obtaining the health data of prediction, it is also possible to carry out the most in the terminal Display, uses the mode of voice, informs user.

Step S400, receives the preservation instruction that user triggers, by the health data input database of prediction.

Described preservation instructs the control menu being to pass through mobile terminal according to user, generates after selecting to save options.This User in embodiment it can be seen that in mobile terminal display interface display prediction health data, according to self use health data The health data that the test of test equipment obtains, is such as tested by blood pressing detecting device, the blood pressure data obtained, with prediction health Data Comparison, if prediction data is identical with the data that test obtains, then user can be by the control menu of mobile terminal, choosing Select the triggering that saves options and preserve instruction, after mobile terminal receives the preservation instruction that user triggers, by the health data record of prediction Enter data base.If the data that prediction data and test obtain certainly differ, then after data can be modified by user, then Preserve.In being embodied as, if mobile terminal uses the mode of voice, i.e. hear prediction health data user, will listen To prediction health data contrast with the data that obtain of test, user triggers to preserve according to comparing result and instructs.

Further, mobile terminal is while by the health data input database of prediction, it is also desirable to by health data The typing time carry out typing.

Such as, user is by the control menu of smart mobile phone, and the object of Select input is blood glucose, then smart mobile phone according to The typing object selected is the instruction that blood glucose generates typing blood glucose.Smart mobile phone receives the instruction of the typing blood glucose that user selects, Smart mobile phone enters the input interface of blood glucose level data according to the instruction of typing blood glucose, and obtains the blood glucose level data of up-to-date typing with pre- If blood glucose level data prediction algorithm, calculate according to the blood glucose level data of up-to-date typing and the blood glucose level data prediction algorithm preset, Obtain the health data of prediction, as it is shown in figure 9, the prediction blood glucose level data obtained now by default blood glucose level data prediction algorithm For 4.8mmol/L, the typing time is after the lunch on June 16th, 2016.The most such as, user's control dish by smart mobile phone Single, the object of Select input is blood glucose, then smart mobile phone is according to the finger that the typing object selected is that blood glucose generates typing blood glucose Order.Smart mobile phone receives the instruction of the typing blood glucose that user selects, and smart mobile phone enters blood glucose number according to the instruction of typing blood glucose According to input interface, and obtain up-to-date typing blood glucose level data and preset blood glucose level data prediction algorithm, according to up-to-date typing Blood glucose level data and the blood glucose level data prediction algorithm preset calculate, it is thus achieved that the health data of prediction, as shown in Figure 10, now lead to Crossing the blood pressure data prediction algorithm preset and obtain the blood pressure contraction pressure 120mmHg of prediction, blood pressure diastolic pressure is 80mmHg, and heart rate is 60BPM, the typing time is point in afternoon 4 on June 16th, 2016.

In the present embodiment, mobile terminal receives the typing instruction that user triggers；Obtain up-to-date according to described typing instruction The health data of typing and the health data prediction algorithm preset；Health data according to up-to-date typing and the health data preset Prediction algorithm calculates, it is thus achieved that the health data of prediction；After receiving the preservation instruction that user triggers, by the health data of prediction Input database.By the way, the present invention, before user's typing health data, is calculated in advance by default health data User will the health data of typing be predicted by method, it is thus achieved that corresponding prediction health data, if prediction data and user Will the health data of typing identical, then user can directly preserve, and decreases user's input process, it is achieved process is simple, and The input speed of health data can be accelerated.Owing to decreasing user's input process, decrease person in middle and old age user healthy in typing During data, logging data will be caused because of presbyopia to make a mistake with having one's fingers all thumbs such that it is able to improve health data Typing accuracy.

Further, with reference to the schematic flow sheet of input method the second embodiment that Fig. 2, Fig. 2 are health data of the present invention.

Based on the embodiment shown in above-mentioned Fig. 1, before described step S400, it is also possible to including:

Step S500, receives user and slides the amendment instruction that the scale of display is triggered on described mobile terminal；

Step S600, according to the health data of described amendment instruction modification prediction；

Revising for the convenience of the user, in the present embodiment, smart mobile phone also shows scale, wherein has each scale on scale Mark, it should be noted that scale marker on scale according to the health data of prediction can correspondence change, such as Fig. 9 institute Show, when predicting blood glucose and being 4.8mmol/L, show scale in the lower section that blood glucose level data shows, the centre position of scale Scale is then 4.8.As shown in Figure 10, when the contraction predicting blood pressure is pressed as 120mmHg, shrink what pressure data showed at blood pressure Lower section shows scale, and the scale in the centre position of scale is then 120.User is touched by the scale of display on sliding mobile terminal Send out amendment instruction, during the scale shown in user's sliding mobile terminal, the numerical value meeting of the health data of display on mobile terminal According to sliding of user, corresponding change occurring, in user's sliding mobile terminal, the scale of display is i.e. the health in amendment prediction Data.Can also arrange "-" and the "+" button at the left and right sides that health data shows in being embodied as, user then can touch "-" Or the "+" button correspondence is decreased or increased on the basis of prediction health data, thus revise prediction health data, it is thus achieved that after amendment Prediction health data.

Further, step S600 could alternatively be: according to described amendment instruction, it is thus achieved that amended health data, and Display.

Such as, the blood glucose level data that user measures is 4.8mmol/L, and smart mobile phone is according to the blood glucose level data of up-to-date typing and blood Sugar data prediction algorithm calculates, it is thus achieved that the blood glucose level data of prediction is 5.2mmol/L, and in the prediction displayed above of scale Blood glucose level data, the position of display prediction health data can also be arranged on elsewhere certainly.User is by the blood glucose level data of prediction Contrast with the blood glucose level data measured, it was predicted that blood glucose level data and the blood glucose level data of measurement differ, now user can be led to Cross the blood glucose level data of slide scale amendment prediction so that amended blood glucose level data is identical with the blood glucose level data of measurement, and passes through The scale of mobile terminal shows that amended blood glucose level data is 4.8mmol/L, during user's slide scale, aobvious above scale The blood glucose level data shown can the most corresponding change.

During user revises health data, the health data of display can revise corresponding change in real time along with user. In the present embodiment, revise the health data of prediction for the convenience of the user, show scale, scale in the lower section that health data shows There is pointer centre, and when user's slide scale, the health data of pointer indication can occur corresponding change along with user's slide scale Change, the change of health data when seeing amendment that user can be cheer and bright.

Step S400 can also include:

Step S410, preserves instruction, by amended health data input database according to described.

In the present embodiment, user can see the health data of prediction by the scale of display in mobile terminal, after the modification Health data identical with measurement data time, user can be selected to save options by the control menu of mobile terminal thus touched Sending out and preserve instruction, the preservation instruction that mobile terminal triggers according to user, by amended health data input database.

In the present embodiment, health data and prediction algorithm according to obtaining calculate, it is thus achieved that the health data of prediction； Receive user to slide the amendment instruction that the scale of display is triggered on described mobile terminal；According to being good for of amendment instruction modification prediction Health data；According to preserving instruction, mobile terminal is by amended for user health data input database.By the way, originally Invention, will the health data of typing to user by default health data prediction algorithm before user's typing health data It is predicted, it is thus achieved that corresponding prediction health data, the health data of prediction is carried out by user with the health data oneself measured Contrast, finds that prediction data is different from measurement data, the scale amendment prediction data that now user can be shown by slip, makes The data that show of scale are identical with measurement data, now user can preserve amended health data.The present embodiment is used Family is by the health data of amendment prediction of sliding on scale, for middle-aged and elderly people, holds the feelings of tape in similar reality Shape, learns simpler；And typically having only to simple modification, user's input process is simple, therefore, it is possible to accelerate health data Input speed and the typing accuracy of raising health data.

Further, it is that health data and described prediction algorithm according to up-to-date typing described in Fig. 1 enters with reference to Fig. 3, Fig. 3 Row calculates, it is thus achieved that the refinement schematic flow sheet of the health data of prediction.

Processing method first embodiment based on health data of the present invention, step S300 may include that

Step S310, record user revises number of times and the total degree of typing health data of the health data of prediction；

After mobile terminal obtains the health data of up-to-date typing and the health data prediction algorithm that prestores, record user's amendment The number of times of health data of prediction and the total degree of typing health data, and user is revised the health data of prediction number of times and The total degree input database of typing health data.Such as, the blood glucose level data that smart mobile phone obtains up-to-date typing and the blood prestored After sugar data prediction algorithm, the user of record revises the number of times of the blood glucose level data of prediction and the total degree difference of typing blood glucose level data It is 40 times and 100 times, the data inputting data base that record is obtained.

Step S320, revises number of times and the total degree of typing health data of the health data of prediction according to described user, Calculate the amendment probability obtaining user；

Described amendment probability is that the number of times of the health data that user revises prediction accounts for the hundred of the total degree of typing health data Proportion by subtraction.Mobile terminal, after acquisition user revises the number of times of health data and the total degree of typing health data of prediction, passes through Calculate the amendment probability obtaining user, the amendment probability input database that will obtain.Such as, user's amendment of smart mobile phone record The number of times of blood glucose level data and the total degree of typing blood glucose level data of prediction are respectively 40 times and 100 times, by being calculated amendment Probability is 40 percent, by calculated amendment probability input database.

Step S330, if the amendment probability of user is more than predetermined probabilities, then using the health data of the last typing as The health data of prediction；

Step S340, if the amendment probability of user is less than or equal to predetermined probabilities, then according to the health of nearest twice typing Data and prediction algorithm obtain the health data of prediction.

Amendment probability and the predetermined probabilities of user are contrasted by mobile terminal, if the amendment probability of user is general more than presetting Rate, the then health data of the last input database of output；If the amendment probability of user is less than or equal to predetermined probabilities, then show Show the health data of described prediction.Described predetermined probabilities can include 40 percent and 50 percent.Certainly, it is embodied as In, predetermined probabilities can be configured according to the demand of user.Such as, certain user arranges predetermined probabilities on smart mobile phone is hundred / tri-ten five, if the amendment probability of user is more than 35 percent, then the healthy number of the last input database of output According to the health data as prediction, if the amendment probability of user is less than or equal to 35 percent, then show described prediction Health data.

In the present embodiment, the health data that smart mobile phone obtains up-to-date typing and the health data prediction algorithm prestored After, record user revises number of times and the total degree of typing health data of the health data of prediction；According to smart mobile phone record The total degree of number of times and typing health data that user revises the health data of prediction calculates, it is thus achieved that the amendment of user is general Rate；If the amendment probability of user is more than predetermined probabilities, then using the health data of the last typing as the health data predicted； If the amendment probability of user is less than predetermined probabilities, then the health data according to nearest twice typing obtains the health data of prediction. Such as, the blood glucose level data of the last input is 5mmol/L, obtains the blood glucose of prediction according to the blood glucose level data of nearest twice typing Data are 4.8mmol/L, and predetermined probabilities is 50 percent, and amendment number of times is 25 times, and typing total degree is 100 times.According to repairing Changing number of times and typing total degree, the amendment probability that can be calculated user by smart mobile phone is 25 percent, intelligence hands It is found by machine with predetermined probabilities contrast, and the amendment probability of user is less than predetermined probabilities, and at this moment smart mobile phone obtains the blood of prediction Sugar data are 4.8mmol/L.If amendment number of times is 51 times, total degree is 100 times, has been more than pre-by calculating amendment probability If probability, at this moment smart mobile phone obtains the blood glucose level data of prediction is 5mmol/L.The most such as, the blood pressure of the last typing shrinks Pressure and diastolic pressure are respectively 118mmHg and 80mmHg, the blood pressure predicted according to the blood pressure data of nearest twice typing shrink pressure and Diastolic pressure 120mmHg and 80mmHg respectively, predetermined probabilities is percent the May 4th 15, and amendment number of times is 50 times, typing total degree It it is 100 times.According to amendment number of times and typing total degree, the amendment probability that can be calculated user by smart mobile phone is percent 50, it is found by smart mobile phone with predetermined probabilities contrast, and the amendment probability of user is more than predetermined probabilities, then smart mobile phone obtains The blood pressure of prediction shrinks pressure and diastolic pressure is respectively 118mmHg and 80mmHg.If amendment number of times is 30 times, typing total degree is 100, at this moment find that amendment probability is 30 percent by calculating, smart mobile phone is by itself and predetermined probabilities contrast discovery, user Amendment probability less than predetermined probabilities, then smart mobile phone obtain the blood pressure of prediction shrink pressure and diastolic pressure 120mmHg respectively and 80mmHg。

Specifically, with reference to Fig. 4, health data and prediction algorithm according to nearest twice typing obtain the health data predicted Process may include that

Step 341, obtains the health data of nearest twice typing, if the health data of the last typing is the first number According to, the health data of another typing is the second data；

Mobile terminal obtains the health data of nearest twice typing from the data base of health data, and sets the last record The health data entered is the first data, and the health data of another typing is the second data.Such as, slow from this locality of smart mobile phone The blood glucose level data obtaining nearest twice typing in the data base deposited is respectively 5mmol/L and 5.2mmol/L, and wherein 5mmol/L is First data, 5.2mmol/L is the second data.In being embodied as, certainly can also obtain nearest one week health data or The health data of nearest one month.

Step 342, calculates the difference of the health data of nearest twice typing；

After mobile terminal obtains the health data of nearest twice typing from data base, calculate the health of nearest twice typing The difference of data, the difference between the i.e. first data and the second data, may determine that the first data and the second data according to difference Size.Such as, the blood glucose level data of nearest twice typing of smart mobile phone acquisition is respectively 5mmol/L and 5.2mmol/L, wherein 5mmol/L is the first data, and 5.2mmol/L is the second data, and mobile terminal obtains the first data and the second data by calculating Difference be 0.2mmol/L, the first data can be obtained less than the second data.Certainly, in being embodied as, acquisition for mobile terminal is After the health data of nearly a week, the health data of nearest a week is calculated, it is thus achieved that the average of nearest one week health data.

Step 343, if the first data are more than or equal to the second data, then the health data predicted is that the first data deduct First data and the difference of the second data；

Step 344, if the first data are less than the second data, then the health data predicted is that the first data are plus the first data Difference with the second data.

Mobile terminal may determine that the first data and the second data according to the difference of the health data of nearest twice typing Size.If the first data are more than or equal to the second data, then the health data predicted be the first data deduct the first data and The difference of the second data.Such as, the first data of the blood glucose level data that smart mobile phone obtains are 5.2mmol/L, and the second data are 5mmol/L.At this moment the first data are more than the second data, and the most amended data are 4.8mmol/L.If the first data are less than second Data, then the health data predicted is that the first data are plus the first data and the difference of the second data.Such as, smart mobile phone obtains The first data of blood glucose level data be 5mmol/L, the second data are 5.2mmol/L.At this moment the first data are less than the second data, then Amended data are 5.4mmol/L.Certainly, in being embodied as, mobile terminal can equal according to nearest one week health data Value, obtains the health data of prediction.

If the amendment probability of user is less than or equal to predetermined probabilities in the present embodiment, smart mobile phone obtains from data base Take the health data of nearest twice typing, and set the health data of the last typing as the first data, another typing strong Health data are the second data；Calculated the difference of the health data of nearest twice typing by smart mobile phone, it is right to judge according to difference Than the first data and the size of the second data；If the first data are more than or equal to the second data, then the health data predicted is First data deduct the first data and the difference of the second data；If the first data are less than the second data, the then health data predicted It is that the first data are plus the first data and the difference of the second data.Such as, the blood glucose level data of nearest twice typing is respectively 5mmol/L and 5.2mmol/L.The blood glucose level data obtaining nearest twice typing from the data base of the local cache of smart mobile phone divides Not Wei 5mmol/L and 5.2mmol/L, wherein 5mmol/L is the first data, and 5.2mmol/L is the second data, by being calculated The difference of this twice blood glucose level data is 0.2mmol/L.Smart mobile phone passes through contrast it appeared that the first data are less than the second data, At this moment the first data are revised so that the blood glucose level data of prediction is that the first data deduct the first data and the difference of the second data, i.e. The blood glucose level data of prediction is 4.8mmol/L.If 5mmol/L is the second data, 5.2mmol/L is the first data.Smart mobile phone leads to Cross contrast it appeared that the first data are more than the second data, at this moment revise the first data so that the blood glucose level data of prediction is first Data add the first data and the difference of the second data, and the blood glucose level data i.e. predicted is 5.4mmol/L.

In the present embodiment, the health data that smart mobile phone obtains up-to-date typing and the health data prediction algorithm prestored After, record user revises number of times and the total degree of typing health data of the health data of prediction；User's amendment according to record The number of times of the health data of prediction and the total degree of typing health data, calculate the amendment probability obtaining user, and amendment probability is The number of times of the health data that user revises prediction accounts for the ratio of the total degree of typing health data；If the amendment probability of user is more than Predetermined probabilities, then using the health data of the last typing as the health data predicted；If the amendment probability of user less than or Equal to predetermined probabilities, obtain the health data of nearest twice typing, if the health data of the last typing is the first data, separately The health data of typing is the second data；Calculate the difference of the health data of nearest twice typing；If the first data are more than Or equal to the second data, then the health data predicted is that the first data deduct the first data and the difference of the second data；If the One data are less than the second data, then the health data predicted is that the first data are plus the first data and the difference of the second data.Logical Crossing aforesaid way, the present invention is when user's typing health data, and mobile terminal is according to the health data of nearest twice typing and pre- User will the health data of typing be predicted by method of determining and calculating, it is thus achieved that the health algorithm of prediction；Mobile terminal is repaiied according to user The number of times and the typing total degree that change prediction health data calculate the amendment probability obtaining user；If amendment probability is general less than presetting Rate, then using the health data of the last typing as the health data predicted；If amendment probability is more than or equal to predetermined probabilities, And first data more than or equal to the second data, then the health data of mobile terminal prediction is that the first data deduct nearest twice record Enter the difference of health data, i.e. successively decrease；If amendment probability is more than or equal to predetermined probabilities, and the first data are less than the second data, Then the health data of mobile terminal prediction is first data differences plus nearest twice typing health data, the most incremental, mobile Terminal can quickly obtain the health data of prediction by the way of successively decreasing or being incremented by；User by prediction health data with from The health data that oneself measures contrasts, and finds that prediction data is identical with measurement data, and now user directly preserves the strong of prediction Health data, decrease user's input process, it is achieved process is simple, and can accelerate the input speed of health data；Owing to reducing User's input process, therefore decreases person in middle and old age user when typing health data, will not be ineffective because of presbyopia and trick Living causes logging data to make a mistake such that it is able to improve the typing accuracy of health data.

The present invention also provides for the input device of a kind of health data.

High-level schematic functional block diagram with reference to the input device first embodiment that Fig. 5, Fig. 5 are health data of the present invention.Described Device includes:

First receiver module 100, for receiving the typing instruction that user triggers；

Acquisition module 200, for the health data obtaining up-to-date typing according to described typing instruction and the healthy number preset It is predicted algorithm；

Computing module 300, for calculating according to health data and the described prediction algorithm of described nearest typing, it is thus achieved that The health data of prediction；

Typing module 400, for receiving the preservation instruction that user triggers, by the health data input database of prediction.

Described preservation instructs the control menu being to pass through mobile terminal according to user, generates after selecting to save options.Move After dynamic terminal receives the preservation instruction that user triggers, by the health data input database of prediction.

In the present embodiment, the typing instruction that in mobile terminal, the first receiver module 100 triggers for receiving user, obtain Module 200 is for the health data obtaining up-to-date typing according to described typing instruction and the health data prediction algorithm preset；Meter Calculate module 300 for calculating according to health data and the described prediction algorithm of described up-to-date typing, it is thus achieved that the health of prediction Data；The preservation instruction that typing module 400 triggers for receiving user, by the health data input database of prediction.By upper Stating mode, the present invention, will typing to user by default health data prediction algorithm when user's typing health data Health data is predicted, it is thus achieved that corresponding prediction health data, if prediction data and user will the health datas of typing Identical, then user can directly preserve, and decreases user's input process, it is achieved process is simple, and accelerates the typing of health data Speed.Owing to decreasing user's input process, decrease person in middle and old age user when typing health data, will not because of presbyopia and Have one's fingers all thumbs and cause logging data to make a mistake such that it is able to improve the typing accuracy of health data.

Further, the functional module with reference to input device the second embodiment that Fig. 6, Fig. 6 are health data of the present invention is shown It is intended to.

Based on the embodiment shown in above-mentioned Fig. 5, before described typing module 400, it is also possible to including:

Second receiver module 500, slides the amendment that the scale of display is triggered on described mobile terminal for receiving user Instruction；

Modified module 600, for the health data according to described amendment instruction modification prediction；

Further, modified module S600 could alternatively be display unit 610, for according to described amendment instruction, it is thus achieved that Amended health data, and show.

Such as, the blood glucose level data that user measures is 4.8mmol/L, and smart mobile phone is according to the blood glucose level data of up-to-date typing and blood Sugar data prediction algorithm calculates, it is thus achieved that the blood glucose level data of prediction is 5.2mmol/L, and in the prediction displayed above of scale Blood glucose level data, the position of display prediction health data can also be arranged on elsewhere certainly.User is by the blood glucose level data of prediction Contrast with the blood glucose level data measured, it was predicted that blood glucose level data and the blood glucose level data of measurement differ, now user can be led to Cross the blood glucose level data of slide scale amendment prediction so that amended blood glucose level data is identical with the blood glucose level data of measurement, and passes through The scale of mobile terminal shows that amended blood glucose level data is 4.8mmol/L, and when user's slide scale, scale is displayed above Blood glucose level data can correspondence change.The most such as, the blood pressure data that user measures is 118mmHg, and smart mobile phone is according to up-to-date typing Blood pressure data and blood pressure data prediction algorithm calculate, it is thus achieved that the blood pressure data of prediction is 120mmHg, and is shown by scale The blood pressure data of prediction.The blood pressure data of the blood pressure data of prediction with measurement is contrasted by user, it was predicted that blood pressure data and The blood pressure data measured differs, and now user can be by the blood pressure data of slide scale amendment prediction so that amended Blood pressure data is identical with the blood pressure data of measurement, and shows that amended blood pressure data is by the scale of mobile terminal 118mmHg, during user's slide scale, the corresponding change in real time of blood glucose level data meeting that scale is displayed above.

Described typing module 400 includes:

Typing unit 410, for preserving instruction, by amended health data input database according to described.

In the present embodiment, computing module 300 is for calculating according to the health data obtained and prediction algorithm, it is thus achieved that The health data of prediction.Second acquisition module 500 is triggered for receiving user's scale of display on described mobile terminal that slides Amendment instruction, the scale on user's sliding mobile terminal then it is believed that user trigger amendment instruction.Modified module 600 is used for According to amendment instruction, the health data of amendment prediction.User is saved options by the control menu setecting of mobile terminal, mobile whole End generates the instruction preserving health data.When user selects to save options, then it is believed that revise the health data of prediction Step terminates.Typing unit 410 is for according to preserving instruction, and mobile terminal is by amended for user health data logging data Storehouse.Such as, it is thus achieved that the blood glucose level data of prediction is 4.8mmol/L, being shown on smart mobile phone, user's slide scale makes blood Sugar data become 5mmol/L, at this moment may determine that user's blood glucose level data in amendment prediction.User's control by smart mobile phone Menu setecting saves options, and smart mobile phone generates the instruction preserving blood glucose level data.When user selects to save options, then can recognize Terminate for amendment step.Smart mobile phone is according to instruction, by amended blood glucose level data 5mmol/L input database.The most such as, The blood pressure contraction pressure obtaining prediction is 120mmHg, is shown on smart mobile phone, and user's slide scale makes blood pressure shrink pressure Become 118mmHg, at this moment may determine that user shrinks pressure at the blood pressure of amendment prediction.User's control menu by smart mobile phone Selection saves options, and smart mobile phone generates the instruction preserving blood pressure contraction pressure.When user select save options time, then it is believed that Amendment step terminates.Amended blood pressure, according to instruction, is shunk pressure 118mmHg input database by smart mobile phone.

In the present embodiment, computing module 300 is for calculating according to the health data obtained and prediction algorithm, it is thus achieved that The health data of prediction；Second acquisition module 500 is triggered for receiving user's scale of display on described mobile terminal that slides Amendment instruction, the scale on user's sliding mobile terminal then it is believed that user trigger amendment instruction；Modified module 600 is used for According to amendment instruction, the health data of amendment prediction；User is saved options by the control menu setecting of mobile terminal, mobile whole End generates the instruction preserving health data；When user selects to save options, then it is believed that revise the health data of prediction Step terminates；Typing unit 410 is for according to preserving instruction, and mobile terminal is by amended for user health data logging data Storehouse.By the way, user, when user's typing health data, by default health data prediction algorithm is by the present invention Being predicted by the health data of typing, it is thus achieved that corresponding prediction health data, the health data of prediction is surveyed by user with oneself The health data of amount contrasts, and finds that prediction data is different from measurement data, the mark that now user can be shown by slip Chi amendment prediction data so that the data that scale shows are identical with measurement data, and now user can preserve amended health Data.In the present embodiment, user is by the health data of amendment prediction of sliding on scale, for middle-aged and elderly people, similar existing Reality is held the situation of tape, learns simpler；And typically having only to simple modification, user's input process is simple, therefore can Enough accelerate the input speed of health data and improve the typing accuracy of health data.

Further, with reference to the refinement high-level schematic functional block diagram that Fig. 7, Fig. 7 are computing module in Fig. 5.

Processing means first embodiment based on health data of the present invention, described computing module 300 includes:

Record unit 310, revises the number of times of health data of prediction and total time of typing health data for recording user Number；

Computing unit 320, for revising the number of times of health data of prediction and typing health data according to described user Total degree, calculates the amendment probability obtaining user；

First amendment unit 330, if the amendment probability for user is more than predetermined probabilities, then being good for the last typing Health data are as the health data of prediction；

Second amendment unit 340, if the amendment probability for user is less than or equal to predetermined probabilities, then according to nearest twice The health data of typing and prediction algorithm obtain the health data of prediction.

In the present embodiment, the health data that smart mobile phone obtains up-to-date typing and the health data prediction algorithm prestored After, record user by the record unit 310 in smart mobile phone and revise the number of times of health data and the typing health data of prediction Total degree；Computing unit 320 revises number of times and the typing health of the health data of prediction according to the user of smart mobile phone record The total degree of data, calculates the amendment probability obtaining user；If the amendment probability of the first amendment unit 330 user is general more than presetting Rate, then using the health data of the last typing as the health data predicted；If the amendment of the second amendment unit 340 user is general Rate is less than or equal to predetermined probabilities, then the health data according to nearest twice typing obtains the health data of prediction.Such as, recently The blood glucose level data once inputted is 5mmol/L, and the blood glucose level data obtaining prediction according to the blood glucose level data of nearest twice typing is 4.8mmol/L, predetermined probabilities is 50 percent, and amendment number of times is 25 times, and typing total degree is 100 times.According to amendment number of times With typing total degree, the amendment probability that can be calculated user by smart mobile phone is 25 percent, and smart mobile phone is by it Finding with predetermined probabilities contrast, the amendment probability of user is less than predetermined probabilities, and at this moment smart mobile phone obtains the blood glucose level data of prediction For 4.8mmol/L.If amendment number of times is 51 times, total degree is 100 times, has been more than default general by calculating amendment probability Rate, at this moment smart mobile phone obtains the blood glucose level data of prediction is 5mmol/L.The most such as, the blood pressure of the last typing shrink pressure and Diastolic pressure is respectively 118mmHg and 80mmHg, shrinks pressure and diastole according to the blood pressure that the blood pressure data of nearest twice typing is predicted Pressure 120mmHg and 80mmHg respectively, predetermined probabilities is percent the May 4th 15, and amendment number of times is 50 times, and typing total degree is 100 Secondary.According to amendment number of times and typing total degree, the amendment probability that can be calculated user by smart mobile phone is 50 percent, It is found by smart mobile phone with predetermined probabilities contrast, and the amendment probability of user is more than predetermined probabilities, then smart mobile phone obtains prediction Blood pressure shrink pressure and diastolic pressure be respectively 118mmHg and 80mmHg.If amendment number of times is 30 times, typing total degree is 100, this Time find that amendment probability is 30 percent by calculating, by it, contrast finds smart mobile phone with predetermined probabilities, the amendment of user Probability is less than predetermined probabilities, then smart mobile phone obtains blood pressure contraction pressure and diastolic pressure 120mmHg and 80mmHg respectively of prediction.

Specifically, with reference to Fig. 8, the second amendment unit 340 may include that

Obtain subelement 341, for obtaining the health data of nearest twice typing, if the health data of the last typing Being the first data, the health data of another typing is the second data；

Computation subunit 342, for calculating the difference of the health data of nearest twice typing；

First amendment subelement 343, if for the first data more than or equal to the second data, the then health data predicted It is that the first data deduct the first data and the difference of the second data；

Second amendment subelement 344, if for the first data less than the second data, then the health data predicted is the first number According to plus the first data and the difference of the second data.

The amendment probability of user is less than or equal to predetermined probabilities in the present embodiment, and smart mobile phone obtains from data base The health data of nearly twice typing, and set the health data of the last typing as the first data, the healthy number of another typing According to for the second data；Calculated the difference of the health data of nearest twice typing by smart mobile phone, judge contrast according to difference One data and the size of the second data；If the first data are more than or equal to the second data, then the health data predicted is first Data deduct the first data and the difference of the second data；If the first data are less than the second data, then the health data predicted is the One data add the first data and the difference of the second data.Such as, the blood glucose level data of nearest twice typing be respectively 5mmol/L and 5.2mmol/L.The blood glucose level data obtaining nearest twice typing from the data base of the local cache of smart mobile phone is respectively 5mmol/L and 5.2mmol/L, wherein 5mmol/L is the first data, and 5.2mmol/L is the second data, by be calculated this two The difference of secondary blood glucose level data is 0.2mmol/L.Smart mobile phone passes through contrast it appeared that the first data are less than the second data, at this moment Revise the first data so that the blood glucose level data of prediction is that the first data deduct the first data and the difference of the second data, i.e. predicts Blood glucose level data be 4.8mmol/L.If 5mmol/L is the second data, 5.2mmol/L is the first data.Smart mobile phone is by right Than it appeared that the first data are more than the second data, at this moment revise the first data so that the blood glucose level data of prediction is the first data Plus the first data and the difference of the second data, the blood glucose level data i.e. predicted is 5.4mmol/L.

These are only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, every utilize this Equivalent structure or equivalence flow process that bright description and accompanying drawing content are made convert, or are directly or indirectly used in other relevant skills Art field, is the most in like manner included in the scope of patent protection of the present invention.

Claims

1. the input method of a health data, it is characterised in that the input method of described health data is applied to mobile terminal, The input method of described health data comprises the following steps:

Receive the typing instruction that user triggers；

2. the method for claim 1, it is characterised in that the preservation instruction that described reception user triggers, being good for prediction Before the step of health data inputting data base, also include:

3. method as claimed in claim 2, it is characterised in that the described health data according to described amendment instruction modification prediction Step include:

4. the method for claim 1, it is characterised in that the described health data according to described up-to-date typing and described pre- Method of determining and calculating calculates, it is thus achieved that the step of the health data of prediction includes:

Revise number of times and the total degree of typing health data of the health data of prediction according to described user, calculate and obtain user's Amendment probability；

If the amendment probability of user is more than predetermined probabilities, then using the health data of the last typing as the healthy number predicted According to；

If the amendment probability of user is less than or equal to predetermined probabilities, then according to health data and the prediction algorithm of nearest twice typing Obtain the health data of prediction.

5. method as claimed in claim 4, it is characterised in that if the amendment probability of described user is less than predetermined probabilities, then root The step of the health data obtaining prediction according to the health data of nearest twice typing and prediction algorithm includes:

Obtain the health data of nearest twice typing, if the health data of the last typing is the first data, another typing Health data be the second data；

Calculate the difference of the health data of nearest twice typing；

If the first data are more than or equal to the second data, then the health data predicted is that the first data deduct the first data and the The difference of two data；

If the first data are less than the second data, then the health data predicted is that the first data are plus the first data and the second data Difference.

6. the input device of a health data, it is characterised in that the input method of described health data is applied to mobile terminal, The input device of described health data includes:

Acquisition module, calculates in advance for the health data and the health data preset obtaining up-to-date typing according to described typing instruction Method；

Computing module, for calculating according to health data and the described prediction algorithm of described up-to-date typing, it is thus achieved that prediction Health data；

7. device as claimed in claim 6, it is characterised in that described device also included before typing module:

Second receiver module, slides the amendment instruction that the scale of display is triggered on described mobile terminal for receiving user；

Described typing module includes:

8. device as claimed in claim 7, it is characterised in that described modified module includes:

9. device as claimed in claim 6, it is characterised in that described computing module includes:

Computing unit, for revising number of times and the total degree of typing health data of the health data of prediction according to described user, Carry out calculating the amendment probability obtaining user；

First amendment unit, if the amendment probability for user is more than predetermined probabilities, then by the health data of the last typing Health data as prediction；

Second amendment unit, if the amendment probability for user is less than predetermined probabilities, then according to the healthy number of nearest twice typing According to the health data obtaining prediction with prediction algorithm.

10. device as claimed in claim 9, it is characterised in that described second amendment unit includes:

Second amendment subelement, if for the first data less than the second data, then the health data predicted is that the first data add First data and the difference of the second data.