CN105943013A

CN105943013A - Heart rate detection method and device, and intelligent wearable device

Info

Publication number: CN105943013A
Application number: CN201610308921.3A
Authority: CN
Inventors: 冯镝; 高军; 高一军
Original assignee: Anhui Huami Information Technology Co Ltd
Current assignee: Anhui Huami Information Technology Co Ltd
Priority date: 2016-05-09
Filing date: 2016-05-09
Publication date: 2016-09-21
Anticipated expiration: 2036-05-09
Also published as: CN105943013B

Abstract

The invention provides a heart rate detection method, a detection device and an intelligent wearable device, wherein the method comprises the following steps: acquiring motion characteristic data and heart rate data of a user in a current time period; in accordance with the motion characteristic data, determining an activity status of the user in the current time period; and in accordance with the activity status, acquiring a real-time heart rate value of the user at the current moment from the heart rate data. According to the invention, the intelligent electronic device can determine the activity status of the user in accordance with the motion characteristic data of the user in the current time period, so that the real-time heart rate value of the user can be determined from the acquired heart rate data in accordance with the activity status. Therefore, the process has no need for strict alignment of the motion characteristic data and the heart rate data on time point, and the process is low in amount of computation and easy to implement on the intelligent device which is relatively poor in computation capacity; and the process has high availability and has portability.

Description

Heart rate detection method and device, intelligence wearable device

Technical field

It relates to the communications field, particularly relate to heart rate detection method and device, intelligence wearable device.

Background technology

In correlation technique, can by measurement to motion characteristic data and heart rate data determine user's Real-time heart rate value.However, it is desirable to the time point of described motion characteristic data and described heart rate data is the most right Together, and computationally intensive, therefore, the smart machine that computing capability is poor is difficulty with, and calculates knot Really accuracy is the highest.

Summary of the invention

In view of this, present disclose provides heart rate detection method and device, intelligence wearable device, to solve The certainly deficiency in correlation technique.

First aspect according to disclosure embodiment, it is provided that a kind of heart rate detection method, described method includes:

Obtain user at the motion characteristic data of current slot and heart rate data；

Determine that described user is at the moving type belonging to described current slot according to described motion characteristic data State；

From described heart rate data, the real-time heart rate of described user's current time is obtained according to described active state Value.

Second aspect according to disclosure embodiment, it is provided that a kind of heartbeat detection device, described device includes:

Data acquisition module, is configured to obtain user at the motion characteristic data of current slot and heart rate Data；

Active state determines module, is configured to determine that described user is in institute according to described motion characteristic data State the active state belonging to current slot；

Heart rate acquisition module, is configured to obtain from described heart rate data according to described active state in real time The real-time heart rate value of described user's current time.

The third aspect according to disclosure embodiment, it is provided that a kind of intelligence wearable device, including second party Heartbeat detection device described in face.

In disclosure embodiment, intelligent electronic device can be according to user at the motion feature of current slot Data determine the active state belonging to described user, thus according to described active state from the heart got Rate data determine the real-time heart rate value of described user.It can be seen that said process need not motion feature The time point close alignment of data and heart rate data, and amount of calculation is little, easily in the intelligence that computing capability is poor Can realize on equipment, availability is high, and has portability.

It should be appreciated that it is only exemplary and explanatory that above general description and details hereinafter describe, The disclosure can not be limited.

Accompanying drawing explanation

Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meet the disclosure Embodiment, and for explaining the principle of the disclosure together with description.

Fig. 1 is that the disclosure is according to a kind of heart rate detection method flow chart shown in an exemplary embodiment；

Fig. 2 is that the disclosure is according to the another kind of heart rate detection method flow chart shown in an exemplary embodiment；

Fig. 3 is the disclosure according to data set during a kind of heart rate detection shown in an exemplary embodiment to be processed and shows It is intended to；

Fig. 4 is the disclosure according to motion characteristic data during a kind of heart rate detection shown in an exemplary embodiment Extract schematic diagram；

Fig. 5 is that the disclosure is according to the another kind of heart rate detection method flow chart shown in an exemplary embodiment；

Fig. 6 is that the disclosure is according to the another kind of heart rate detection method flow chart shown in an exemplary embodiment；

Fig. 7 A is the disclosure according to heart rate frequency domain during a kind of heart rate detection shown in an exemplary embodiment Schematic diagram data；

Fig. 7 B is the disclosure according to acceleration frequency during a kind of heart rate detection shown in an exemplary embodiment Numeric field data schematic diagram；

Fig. 8 is that the disclosure is according to the another kind of heart rate detection method flow chart shown in an exemplary embodiment；

Fig. 9 is that the disclosure is according to a kind of heartbeat detection device block diagram shown in an exemplary embodiment；

Figure 10 is that the disclosure can according to a kind of intelligence for heart rate detection shown in an exemplary embodiment One structural representation of wearable device.

Detailed description of the invention

Here will illustrate exemplary embodiment in detail, its example represents in the accompanying drawings.Following When description relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous Key element.Embodiment described in following exemplary embodiment does not represent the institute consistent with the disclosure There is embodiment.On the contrary, they only with as appended claims describes in detail, the one of the disclosure The example of the apparatus and method that a little aspects are consistent.

The term used in the disclosure is only merely for describing the purpose of specific embodiment, and is not intended to be limiting The disclosure." a kind of " of singulative used in disclosure and the accompanying claims book, " institute State " and " being somebody's turn to do " be also intended to include most form, unless context clearly shows that other implications.Also should Work as understanding, term "and/or" used herein refer to and comprise one or more be associated list item Any or all possible combination of purpose.

Although should be appreciated that may use term first, second, third, etc. various to describe in the disclosure Information, but these information should not necessarily be limited by these terms.These terms only be used for by same type of information that This distinguishes.Such as, without departing from the scope of this disclosure, the first information can also be referred to as Two information, similarly, the second information can also be referred to as the first information.Depend on linguistic context, as in this institute Use word " if " can be construed to " and ... time " or " when ... time " or " response In determining ".

The method that disclosure embodiment provides may be used for intelligence wearable device, such as Intelligent bracelet, intelligence Can wrist-watch, smart bracelet etc..As it is shown in figure 1, Fig. 1 is according to the one shown in an exemplary embodiment Heart rate detection method, comprises the following steps:

In a step 101, user is obtained at the motion characteristic data of current slot and heart rate data.

Alternatively, step 101 is as in figure 2 it is shown, Fig. 2 is another according to illustrate on the basis of shown in Fig. 1 A kind of heart rate detection method, may include that

In step 101-1, gather what described user produced at current slot by acceleration transducer Acceleration information.

In this step, can gather by preassembled described acceleration transducer according to predeterminated frequency The described acceleration information that described user produces at described current slot.

In step 101-2, determine aimed acceleration data set according to described acceleration information.

Wherein, the collection of all described acceleration information in described aimed acceleration data set is target duration Close.

In this step, in order to ensure the accuracy of subsequent heart rate testing result, the institute of adjacent twice can be allowed State the difference between aimed acceleration collection and meet pre-conditioned.Alternatively, described aimed acceleration data set It it is the set of the described acceleration information collected in target duration.Described target duration can preset, Such as being set as in units of per second, described aimed acceleration collection correspondingly, is every 1 second and to collect The set of described acceleration information.

When determining described aimed acceleration collection, can use the method moving window that described acceleration information is entered Row overlap-add procedure.Specifically, first can remove described first from the first acceleration information concentration and accelerate the number of degrees According to.Wherein, described first acceleration information collection is off current time and includes the institute of described target duration Having the set of described acceleration information, described first acceleration information is that described first acceleration information is concentrated According to all described acceleration information in the preset duration that order from front to back is selected, described default time Length is shorter than described target duration.

Further, then at described first acceleration information addition is concentrated to be positioned at described first acceleration information The all described acceleration information in described preset duration after collection, the most described second acceleration information, Thus form described second acceleration information collection.In the disclosure, described second acceleration information collection is determined For described aimed acceleration data set.

Such as, as it is shown on figure 3, the set of each acceleration information to L a length of during target, i.e. described First acceleration information collection processes.Described preset duration is less than described target duration and is M.By front The all described acceleration information of M duration, the most described first acceleration information deletes, and then by described the When after one acceleration collection, order is the most adjacent, described second acceleration information of a length of M adds described first Acceleration information collection, obtains described second acceleration information collection.Now can accelerate the number of degrees by described second It is defined as described aimed acceleration data set according to collection.

The difference between adjacent described aimed acceleration data set can be allowed to meet by said process pre- If condition, thus the accuracy of certainly subsequent heart rate detection.

In step 101-3, determine described motion characteristic data according to described aimed acceleration data set.

In this step, described aimed acceleration data set is the described acceleration produced on preset direction axle Data obtain after being overlapped processing.On three described preset direction axle X, Y and Z axis accordingly Described aimed acceleration data set is as shown in Figure 4.In the disclosure, can be to described aimed acceleration data Collection, according to correlation technique, carries out the first pretreatment, Filtering Processing and motion characteristic data extraction process successively, Obtain described motion characteristic data, also shown in FIG. 4.Wherein, described first pretreatment at least includes Mould length conversion and zero-meanization process, described motion characteristic data extraction process include average extraction process, In variance extraction process, standard deviation extraction process or difference extraction process one.

In step 101-4, gather described user's daily routines by photoelectricity plot ratio pulse wave sensor Time described heart rate data.

In this step, institute can be gathered by described photoelectricity plot ratio pulse wave sensor according to correlation technique State heart rate data.Certainly, in the disclosure, for the accuracy of certainly heart rate detection, can use with really Determine the shifting window mode that the mode of described aimed acceleration collection is identical, be overlapped described heart rate data processing. Processing procedure is identical with above-mentioned shifting window process, does not repeats them here.

In a step 102, determine that described user is at described current slot according to described motion characteristic data Affiliated active state.

As seen in Figure 4, when the motion feature numerical value of described motion characteristic data is in different interval, Corresponding different described kinestate.

Therefore, when described motion feature numerical value is less than the first preset value, determine that described user works as described Active state belonging to the front time period is the first active state, when described motion feature numerical value is higher than described the One preset value and during less than the second preset value, determines that described user is described in belonging to described current slot Active state is the second active state, when described motion feature numerical value is higher than described second preset value, really Fixed described user is the 3rd active state in the described active state belonging to described current slot.Alternatively, Described first active state, described second active state and described 3rd active state can be the most static State, walk line state and running state.

In step 103, from described heart rate data, described user is obtained according to described active state current The real-time heart rate value in moment.

Alternatively, step 103 is as it is shown in figure 5, Fig. 5 is another according to illustrate on the basis of shown in Fig. 3 A kind of heart rate detection method, may include that

In step 103-1, it is filtered processing to described heart rate data according to described active state, To alternative heart rate data.

In this step, different wave filter can be selected described heart rate according to different described active states Data are filtered out, thus obtain described alternative heart rate data.Alternatively, when described kinestate During for described first kinestate or described second kinestate, high pass filter can be used to remove base The impact that line drift brings.When described kinestate is described three kinestate, band can be used logical Wave filter filters the impact brought due to baseline drift and frequency multiplication in described heart rate data.

In step 103-2, add according to described active state, described alternative heart rate data, described target The history heart rate value of speed data collection and previous moment, determines the described real-time heart of described user's current time Rate value.

Alternatively, as shown in Figure 6, Fig. 6 illustrates on the basis of shown in Fig. 5 step 103-2 Another kind of heart rate detection method, may include that

In step 103-21, by the institute in described alternative heart rate data and described aimed acceleration data set There is described acceleration information to be converted to frequency domain data, respectively obtain heart rate frequency domain data and acceleration frequency domain number According to.

In this step, can be according to correlation technique, such as fast Fourier transform, power spectral density calculate Turn Deng by all described acceleration information in described alternative heart rate data and described aimed acceleration data set It is changed to frequency domain data, thus respectively obtains described heart rate frequency domain data and described acceleration frequency domain data.Example As, the described heart rate frequency domain data of the most a certain second and described acceleration frequency domain data can such as Fig. 7 A and Shown in 7B.

In step 103-22, according to described active state and described acceleration frequency domain data, from the described heart Rate frequency domain data removes the first heart rate frequency domain data, obtains the second heart rate frequency domain data.

During the disclosure is implemented, if described active state is described first active state, i.e. during resting state, Need not from described heart rate frequency domain data, remove described first heart rate frequency domain data, the most described first heart rate The number of frequency domain data is 0.

In disclosure embodiment, it is only described second active state or the described 3rd in described active state During active state, the number needing the described first heart rate frequency domain data removed is not 0.

Introduce described active state separately below and be respectively described second active state and the described 3rd During active state, how to remove described first heart rate frequency domain data, thus obtain described second heart rate frequency domain Data.

In the disclosure, can be according to range value descending order adding from described acceleration frequency domain data Velocity peak values is chosen the alternative acceleration frequency domain data of preset number.Such as shown in Fig. 7 B, it is assumed that institute Stating preset number is 2, and the most described intelligence wearable device selecting frequency value can distinguish corresponding 140 successively With the two of 70 alternative acceleration frequency domain datas.

After have chosen described alternative acceleration frequency domain data, can be according to described alternative acceleration frequency domain number According to determining targets threshold.Alternatively, if first alternative adding in described alternative acceleration frequency domain data The first acceleration frequency value that speed frequency domain data is corresponding is second in described alternative acceleration frequency domain data The half of the second acceleration frequency value of alternative acceleration frequency domain data, then also need to described in comparison first and add Speed in frequency value and the size of predeterminated frequency value.Described predeterminated frequency value can be that described user is when walking Normal cardiac rate value.

Such as, in Fig. 7 B, the frequency values that the described alternative acceleration frequency domain data chosen is corresponding is the most right Answer 140 and 70, wherein 70 be 140 half frequency, the most described first alternative acceleration frequency domain data is corresponding Described first acceleration frequency value be 70.Now need to may determine that 70 and the size of predeterminated frequency value.

Further, the maximum in described first acceleration frequency value and described predeterminated frequency value is determined For described targets threshold.

When described active state is described second active state, when i.e. walking line state, can be from described heart rate Frequency domain data removes the heart rate value described first heart less than described targets threshold of described heart rate frequency domain data Rate frequency domain data.

If the such as maximum in described first alternative acceleration frequency value and described predeterminated frequency value It is 70, then can delete the heart rate value all described heart rate frequency domain data below 70 in Fig. 7 A, i.e. delete Except described first heart rate frequency domain data, remaining it is described second heart rate frequency domain data.

When described active state is described three active state, i.e. during running state, remove described first The process of heart rate frequency domain data is similar with said process, simply need not the first alternative acceleration described in comparison Frequency values and the size of described predeterminated frequency value, be directly defined as described first alternative acceleration frequency value Described targets threshold, deletes the heart rate value of described heart rate frequency domain data less than described the of described targets threshold One heart rate frequency domain data, obtains described second heart rate frequency domain data.

In step 103-23, according to described second heart rate frequency domain data and described history heart rate value, determine Described real-time heart rate value.

Alternatively, as shown in Figure 8, Fig. 8 illustrates on the basis of shown in Fig. 6 step 103-23 Another kind of heart rate detection method, may include that

In step 103-231, choose range value more than predetermined amplitude value according to descending order Described second heart rate frequency domain data is as the first alternative heart rate frequency domain data.

In this step, described intelligence wearable device can according to correlation technique, according to range value by greatly to Little order chooses described first alternative heart rate frequency domain data.Alternatively, described predetermined amplitude value is described The peak-peak of heart rate frequency domain data and the product of preset ratio, the most described first alternative heart rate frequency domain data Range value need to be not less than the preset ratio of described peak-peak.

Such as, shown in Fig. 7 A, described predetermined amplitude value is 0.2, then the described first alternative heart rate chosen Frequency domain data is followed successively by the data point of heart rate value the most corresponding 80,140 and 130.

In step 103-232, according to described first alternative heart rate frequency domain data and described history heart rate value, Determine described real-time heart rate value.

In this step, difference can be used according to the number of the described first alternative heart rate frequency domain data chosen Mode determines described real-time heart rate value.

The alternative heart rate value of described first alternative heart rate frequency domain data can be directly judged according to correlation technique Whether it is less than the first preset difference value with the first difference of described history heart rate value.If it is less, can be straight Connect and described alternative heart rate value is defined as described real-time heart rate value.Otherwise, will be with described first alternative heart rate The alternative immediate peak value of heart rate range value of frequency domain data is defined as target amplitude value, described target amplitude The target heart value of value correspondence is described real-time heart rate value.

Such as, history heart rate value is 130, the institute of an only described first alternative heart rate frequency domain data Stating alternative heart rate value is 140, it can be determined that whether both described first differences are less than the first preset difference value, If it is lower, described real-time heart rate value can be determined directly as 140.

If it is not, then can by the range value peak value closest to 140, such as 138, be defined as institute State real-time heart rate value.

When the number of described first alternative heart rate frequency domain data is multiple, need first from described acceleration frequency Numeric field data determines first object alternative acceleration frequency domain data.It is alternatively possible to described first will be included Alternative acceleration frequency domain data, described second alternative acceleration frequency domain data, described first alternative acceleration Described alternative acceleration frequency domain data corresponding to the frequency multiplication of frequency domain data and described second alternative acceleration frequency Described alternative acceleration frequency domain data corresponding to the frequency multiplication of numeric field data is as the alternative acceleration of described first object Degree frequency domain data.

Such as shown in Fig. 7 B, the described first alternative acceleration frequency domain data chosen is frequency values 70 Corresponding data point, described second alternative acceleration frequency domain data is the data point of frequency values 140 correspondence, Then by frequency values 70,140,210,280 ... corresponding data point adds as described first object is alternative Speed frequency domain data.

Further, need deletion from the described first object alternative acceleration frequency domain data chosen described Second target alternative acceleration frequency domain data, thus obtain described 3rd target alternative acceleration frequency domain data. Wherein, described second target alternative acceleration frequency domain data is acceleration frequency domain alternative with described first object Second difference of first object alternative acceleration frequency value corresponding to data and described history heart rate value is less than the The described first object alternative acceleration frequency domain data of two preset difference values.

Such as, described first object alternative acceleration frequency domain data include frequency values 70,140,210, 280 ... corresponding data point, described history heart rate value is 130, above-mentioned first object alternative acceleration frequency In numeric field data only the data point of frequency values 140 correspondence described first object alternative acceleration frequency value with Described second difference of described history heart rate value is less than described second preset difference value, therefore, deletes frequency values The data point of 140 correspondences, the described 3rd target alternative acceleration frequency domain data obtained include frequency values 70, 210,280 ... corresponding data point.

After determining described 3rd target alternative acceleration frequency domain data, can be according to described first alternative Heart rate frequency domain data, described 3rd target alternative acceleration frequency domain data and described history heart rate value, come really Fixed described real-time heart rate value.

In the disclosure, need first in described first alternative heart rate frequency domain data, to delete described alternative heart rate value 3rd difference of the aimed acceleration frequency values corresponding with described 3rd aimed acceleration frequency domain data is less than the The described first alternative heart rate frequency domain data of three preset difference values, obtains described second alternative heart rate frequency domain data.

Such as, described first alternative heart rate frequency domain data includes frequency values the most corresponding 80,140 and 130 Data point, the aimed acceleration frequency values that described 3rd aimed acceleration frequency domain data is corresponding is 70, then The data point of corresponding 80 can be deleted in described first alternative heart rate frequency domain data, obtain described second alternative Heart rate frequency domain data is the data point of frequency values the most corresponding 140 and 130.

Further, need to judge the second target alternative heart rate value of described second alternative heart rate frequency domain data Whether it is less than the 4th preset difference value with the 4th difference of described history heart rate value.

If there being the described 4th poor of multiple described second target alternative heart rate value and described history heart rate value Value is less than described 4th preset difference value, the described second target alternative heart rate frequency domain data maximum by range value Corresponding described second target alternative heart rate value is defined as described real-time heart rate frequency value.

Such as, described second alternative heart rate frequency domain data is the data of heart rate value the most corresponding 140 and 130 Point, described 4th difference is respectively less than described 4th preset difference value, it is assumed that for the data point of heart rate value 140 Range value is maximum, then can be defined as described real-time heart rate value by 140.

If there being the described 4th poor of a described second target alternative heart rate value and described history heart rate value Value less than described 4th preset difference value, then will be less than described with described 4th difference of described history heart rate value The described second target alternative heart rate value of the 4th preset difference value is defined as described real-time heart rate value.If i.e. one Individual described second target alternative heart rate value is less than the described 4th with described 4th difference of described history heart rate value Preset difference value, then this second target alternative heart rate value is described real-time heart rate value.

Such as, described second alternative heart rate frequency domain data is the data of heart rate value the most corresponding 140 and 130 Point, only heart rate value are that the data point of 130 is respectively less than institute with described 4th difference of described history heart rate value State the 4th preset difference value, then can be defined as described real-time heart rate value by 130.

If all described second target alternative heart rate values and described 4th difference of described history heart rate value All not less than described 4th preset difference value, described history heart rate value is defined as described real-time heart rate value.

Such as, described second alternative heart rate frequency domain data is the data of heart rate value the most corresponding 140 and 130 Described 4th difference of point, described second target alternative heart rate value and described history heart rate value is all not less than institute Stating the 4th preset difference value, history heart rate value is 110, then can be defined as described real-time heart rate value by 110.

In the disclosure, it should be noted that when described user is in described second active state or described the Three active states, are i.e. on foot or during running state, it may be determined that described real-time heart rate value is in general feelings Described history heart beating value should be equaled to or higher than under condition.But it is also possible to the situation of fluctuation can be there is, but It is that the scope of fluctuation is not over positive negative threshold value.Such as, this threshold value is 10, and the most described real-time heart rate value should Should be at [described history heart rate value-10, history heart rate value+10] in the range of this.Wherein, if described fortune When dynamic state is to be switched to away line state by running state, described real-time heart rate value may rapid decrease, The most described real-time heart rate value is bigger with the difference of described history heart rate value.

Certainly, after obtaining described real-time heart rate value, described intelligence wearable device can be according to correlation technique Export again after described real-time heart rate value is smoothed, moving average filter, karr can be passed through At least one in graceful wave filter and autoregressive filter is smoothed.

In said process, described real-time heart rate value can be determined based on different described kinestates, no Needing the time point close alignment of motion characteristic data and heart rate data, the maximum amount of calculation related to is Carrying out frequency domain conversion, therefore can realize on the poor equipment of computing capability.Availability is high, and tool There is portability.

Corresponding with preceding method embodiment, the disclosure additionally provides the embodiment of device.

Fill as it is shown in figure 9, Fig. 9 is the disclosure according to a kind of heart rate detection shown in an exemplary embodiment Put block diagram, including:

Data acquisition module 210, be configured to obtain user current slot motion characteristic data and Heart rate data；

Active state determines module 220, is configured to determine described user according to described motion characteristic data In the active state belonging to described current slot；

Heart rate acquisition module 230, is configured to according to described active state from described heart rate data in real time Obtain the real-time heart rate value of described user's current time.

Alternatively, described data acquisition module includes:

First gathers submodule, is configured to acceleration transducer and gathers described user in current time The acceleration information that section produces；

First determines submodule, is configured to determine aimed acceleration data set according to described acceleration information, Described aimed acceleration data set is the set of all described acceleration information in target duration；

Second determines submodule, is configured to determine described motion spy according to described aimed acceleration data set Levy data；

Second gathers submodule, is configured to photoelectricity plot ratio pulse wave sensor and gathers described user Described heart rate data during daily routines.

Alternatively, described first determines that submodule includes:

First removes unit, is configured to concentrate from the first acceleration information remove the first acceleration information, Described first acceleration information collection is off current time and includes all described acceleration of described target duration The set of degrees of data, described first acceleration information be described first acceleration information concentrate according to by front to After the selected preset duration of order in all described acceleration information, described preset duration is shorter than described Target duration；

Increase unit, be configured to increase by the second acceleration information and concentrate to described first acceleration information, Forming the second acceleration information collection, described second acceleration information is in described first acceleration information collection The all described acceleration information in described preset duration afterwards；

Determine unit, be configured to described second acceleration information collection is defined as described aimed acceleration number According to collection.

Alternatively, described second determines that submodule includes:

Processing unit, is configured to described aimed acceleration data set is carried out the first pretreatment, filter successively Ripple processes and motion characteristic data extraction process, obtains described motion characteristic data；

Wherein, described first pretreatment at least includes that the conversion of mould length and zero-meanization process, described motion spy Levy data extraction process and include average extraction process, variance extraction process, standard deviation extraction process or difference In extraction process one.

Alternatively, described active state determines that module includes:

3rd determines submodule, is configured as the motion feature numerical value of described motion characteristic data less than the During one preset value, determine that described user is the first moving type in the active state belonging to described current slot State；

4th determines submodule, be configured as described motion feature numerical value higher than described first preset value and During less than the second preset value, determine that described user in the described active state belonging to described current slot is Second active state；

5th determines submodule, when being configured as described motion feature numerical value higher than described second preset value, Determine that described user is the 3rd active state in the described active state belonging to described current slot.

Alternatively, described real-time heart rate acquisition module includes:

Filtering submodule, is configured to be filtered processing to described heart rate data according to described active state, Obtain alternative heart rate data；

In real time heart rate determines submodule, be configured to according to described active state, described alternative heart rate data, Described aimed acceleration data set and the history heart rate value of previous moment, determine described user's current time Described real-time heart rate value.

Alternatively, described filtering submodule includes:

First filter unit, being configured as described active state is described first active state or described During two active states, it is filtered processing to described heart rate data by high pass filter；

Second filter unit, is configured as described active state when being described three active state, passes through Described heart rate data is filtered processing by band filter.

Alternatively, described real-time heart rate determines that submodule includes:

Converting unit, is configured in described alternative heart rate data and described aimed acceleration data set All described acceleration informations are converted to frequency domain data, respectively obtain heart rate frequency domain data and acceleration frequency domain Data；

Second removes unit, is configured to according to described active state and described acceleration frequency domain data, from Described heart rate frequency domain data removes the first heart rate frequency domain data, obtains the second heart rate frequency domain data；

Heart rate determines unit in real time, is configured to according to described second heart rate frequency domain data and the described history heart Rate value, determines described real-time heart rate value.

Alternatively, when described active state is described first active state, described first heart rate frequency domain number According to number be 0.

Alternatively, described second remove unit and include:

First chooses subelement, and being configured as described active state is described second active state or described During three active states, according to the descending order of range value from the acceleration of described acceleration frequency domain data Degree peak value is chosen the alternative acceleration frequency domain data of preset number；

First threshold determines subelement, is configured to determine target according to described alternative acceleration frequency domain data Threshold value；

Remove subelement, be configured to remove described heart rate frequency domain data from described heart rate frequency domain data Heart rate value is less than the described first heart rate frequency domain data of described targets threshold.

Alternatively, described first threshold determines that subelement includes:

Relatively subelement, is configured as described active state when being described second active state, if institute State the first acceleration frequency that the alternative acceleration frequency domain data of first in alternative acceleration frequency domain data is corresponding The second acceleration frequency that value is the second alternative acceleration frequency domain data in described alternative acceleration frequency domain data The half of rate value, relatively described first acceleration frequency value and the size of predeterminated frequency value；

Second Threshold determines subelement, is configured to described first acceleration frequency value and described default frequency Maximum in rate value is defined as described targets threshold.

Alternatively, described first threshold determines that subelement includes:

3rd threshold value determines subelement, is configured as described active state when being described three active state, If the first acceleration that the first alternative acceleration frequency domain data in described alternative acceleration frequency domain data is corresponding Degree frequency values is that second of the second alternative acceleration frequency domain data in described alternative acceleration frequency domain data adds The half of speed in frequency value, is defined as described targets threshold by described first acceleration frequency value.

Alternatively, described real-time heart rate determines that unit includes:

Second chooses subelement, is configured to choose range value more than presetting width according to descending order The described second heart rate frequency domain data of angle value is as the first alternative heart rate frequency domain data；

First real-time heart rate determines subelement, be configured to according to described first alternative heart rate frequency domain data and Described history heart rate value, determines described real-time heart rate value.

Alternatively, the described first real-time heart rate determines that subelement includes:

First judgment sub-unit, is configured as the number of described first alternative heart rate frequency domain data when being 1, Judge alternative heart rate value and first difference of described history heart rate value of described first alternative heart rate frequency domain data Whether less than the first preset difference value；

Second real-time heart rate determines subelement, is configured as described first difference and presets less than described first During difference, described alternative heart rate value is defined as described real-time heart rate value；

3rd real-time heart rate determines subelement, is configured as described difference default poor not less than described first During value, target heart value corresponding for target amplitude value is defined as described real-time heart rate value, described target width Angle value is and the immediate peak value of range value of described first alternative heart rate frequency domain data.

First acceleration determines subelement, is configured as the number of described first alternative heart rate frequency domain data For time multiple, from described acceleration frequency domain data, determine first object alternative acceleration frequency domain data；

First deletes subelement, is configured to from described first object alternative acceleration frequency domain data delete Second target alternative acceleration frequency domain data, obtains the 3rd target alternative acceleration frequency domain data, and described Two target alternative acceleration frequency domain datas are that acceleration frequency domain data alternative with described first object is corresponding One target alternative acceleration frequency value is less than the second preset difference value with the second difference of described history heart rate value Described first object alternative acceleration frequency domain data；

4th real-time heart rate determines subelement, be configured to according to described first alternative heart rate frequency domain data, Described 3rd target alternative acceleration frequency domain data and described history heart rate value, determine described real-time heart rate value.

Alternatively, described first acceleration determines that subelement includes:

Second acceleration determines subelement, be configured to by include described first alternative acceleration frequency domain data, Described second alternative acceleration frequency domain data, described first alternative acceleration frequency domain data frequency multiplication corresponding to Described alternative acceleration frequency domain data and described second alternative acceleration frequency domain data frequency multiplication corresponding to Described alternative acceleration frequency domain data is as described first object alternative acceleration frequency domain data.

Alternatively, the described 4th real-time heart rate determines that subelement includes:

Second deletes subelement, is configured to delete in described first alternative heart rate frequency domain data described standby Select the 3rd poor of the aimed acceleration frequency values that heart rate value is corresponding with described 3rd aimed acceleration frequency domain data Value, less than the described first alternative heart rate frequency domain data of the 3rd preset difference value, obtains described second alternative heart rate Frequency domain data；

Second judgment sub-unit, is configured to judge the second target of described second alternative heart rate frequency domain data Whether alternative heart rate value is less than the 4th preset difference value with the 4th difference of described history heart rate value；

5th real-time heart rate determines subelement, if being configured to there is multiple described second target alternative heart rate Value is less than described 4th preset difference value with described 4th difference of described history heart rate value, and range value is maximum Described second target alternative heart rate value corresponding to described second target alternative heart rate frequency domain data be defined as institute State real-time heart rate value；

6th real-time heart rate determines subelement, if being configured to there is a described second target alternative heart rate Value is less than described 4th preset difference value with described 4th difference of described history heart rate value, then will go through with described Described 4th difference of history heart rate value is less than the described second target alternative heart rate value of described 4th preset difference value It is defined as described real-time heart rate value；

7th real-time heart rate determines subelement, if being configured to all described second target alternative heart rate values With described 4th difference of described history heart rate value all not less than described 4th preset difference value, by described history Heart rate value is defined as described real-time heart rate value.

Accordingly, the disclosure also provides for a kind of intelligence wearable device, including the heart described in any of the above-described item Rate detection device.

The disclosure also proposed the intelligence of the exemplary embodiment according to the application shown in Figure 10 and can wear Wear the schematic configuration diagram of equipment.As shown in Figure 10, at hardware view, this intelligence wearable device includes place Reason device, internal bus, network interface, internal memory and nonvolatile memory, be also possible that it certainly Hardware required for his business.Processor read from nonvolatile memory correspondence computer program to Then internal memory runs, logic level is formed heart rate detection and controls device.Certainly, real except software Outside existing mode, the application is not precluded from other implementations, such as logical device or software and hardware combining Mode etc., say, that the executive agent of following handling process is not limited to each logical block, Can also be hardware or logical device.

Those skilled in the art, after considering description and putting into practice invention disclosed herein, will readily occur to this Other embodiment of application.The application is intended to any modification, purposes or the adaptability of the application Change, these modification, purposes or adaptations are followed the general principle of the application and include this Shen Please undocumented common knowledge in the art or conventional techniques means.Description and embodiments only by Being considered as exemplary, the true scope of the application and spirit are pointed out by claim below.

Also, it should be noted term " includes ", " comprising " or its any other variant are intended to non-exclusive Comprising, so that include that the process of a series of key element, method, commodity or equipment not only include that of property A little key elements, but also include other key elements being not expressly set out, or also include for this process, side The key element that method, commodity or equipment are intrinsic.In the case of there is no more restriction, statement " include one It is individual ... " key element that limits, it is not excluded that in including the process of described key element, method, commodity or equipment There is also other identical element.

The foregoing is only the preferred embodiment of the disclosure, not in order to limit the disclosure, all at this Within disclosed spirit and principle, any modification, equivalent substitution and improvement etc. done, should be included in Within the scope of disclosure protection.

Claims

1. a heart rate detection method, it is characterised in that described method includes:

From described heart rate data, the real-time heart of described user's current time is obtained according to described active state Rate value.

Method the most according to claim 1, it is characterised in that described acquisition user is when current Between the motion characteristic data of section and heart rate data, including:

The acceleration information that described user produces is gathered at current slot by acceleration transducer；

Determine that aimed acceleration data set, described aimed acceleration data set are according to described acceleration information The set of all described acceleration information in target duration；

Described motion characteristic data is determined according to described aimed acceleration data set；

Described heart rate number during described user's daily routines is gathered by photoelectricity plot ratio pulse wave sensor According to.

Method the most according to claim 2, it is characterised in that described according to the described acceleration number of degrees According to determining that described aimed acceleration collection includes:

Concentrating from the first acceleration information and remove the first acceleration information, described first acceleration information collection is The set of all described acceleration information of described target duration is included by the end of current time, described first Acceleration information is that described first acceleration information concentrates the preset duration selected according to order from front to back Interior all described acceleration information, described preset duration is shorter than described target duration；

Increase by the second acceleration information to concentrate to described first acceleration information, form the second acceleration information Collection, described second acceleration information is in the described preset duration after described first acceleration information collection Interior all described acceleration information；

Described second acceleration information collection is defined as described aimed acceleration data set.

Method the most according to claim 2, it is characterised in that described accelerate according to described target Degrees of data collection determines described motion characteristic data, including:

Described aimed acceleration data set is carried out the first pretreatment, Filtering Processing and motion feature number successively According to extraction process, obtain described motion characteristic data；

Method the most according to claim 2, it is characterised in that described according to described motion feature Data determine described user in the active state belonging to described current slot, including:

When the motion feature numerical value of described motion characteristic data is less than the first preset value, determine described user It is the first active state in the active state belonging to described current slot；

When described motion feature numerical value is higher than described first preset value and is less than the second preset value, determine institute Stating user in the described active state belonging to described current slot is the second active state；

When described motion feature numerical value higher than described second preset value time, determine described user described currently Described active state belonging to time period is the 3rd active state.

Method the most according to claim 5, it is characterised in that described according to described active state The real-time heart rate value of described user's current time is obtained from described heart rate data, including:

It is filtered processing to described heart rate data according to described active state, obtains alternative heart rate data；

According to described active state, described alternative heart rate data, described aimed acceleration data set and previous The history heart rate value in moment, determines the described real-time heart rate value of described user's current time.

Method the most according to claim 6, it is characterised in that described according to described active state It is filtered described heart rate data processing, including:

When described active state is described first active state or described second active state, pass through high pass Described heart rate data is filtered processing by wave filter；

When described active state is described three active state, by band filter to described heart rate number According to being filtered process.

Method the most according to claim 6, it is characterised in that described according to described active state, Described alternative heart rate data, described aimed acceleration data set and the history heart rate value of previous moment, determine The described real-time heart rate value of described user's current time, including:

By all described acceleration number of degrees in described alternative heart rate data and described aimed acceleration data set According to being converted to frequency domain data, respectively obtain heart rate frequency domain data and acceleration frequency domain data；

According to described active state and described acceleration frequency domain data, remove from described heart rate frequency domain data First heart rate frequency domain data, obtains the second heart rate frequency domain data；

According to described second heart rate frequency domain data and described history heart rate value, determine described real-time heart rate value.

Method the most according to claim 8, it is characterised in that when described active state is described During the first active state, the number of described first heart rate frequency domain data is 0.

Method the most according to claim 8, it is characterised in that when described active state is described When the second active state or described three active state, described according to described acceleration frequency domain data, from institute State and heart rate frequency domain data removes the first heart rate frequency domain data, including:

The order descending according to range value is selected from the acceleration peak value of described acceleration frequency domain data Take the alternative acceleration frequency domain data of preset number；

Targets threshold is determined according to described alternative acceleration frequency domain data；

The heart rate value of described heart rate frequency domain data is removed less than described target from described heart rate frequency domain data The described first heart rate frequency domain data of threshold value.

11. methods according to claim 10, it is characterised in that when described active state is institute When stating the second active state, described determine targets threshold according to described alternative acceleration frequency domain data, including:

If the first alternative acceleration frequency domain data in described alternative acceleration frequency domain data corresponding One acceleration frequency value is the second alternative acceleration frequency domain data in described alternative acceleration frequency domain data The half of the second acceleration frequency value, relatively described first acceleration frequency value and the size of predeterminated frequency value；

Maximum in described first acceleration frequency value and described predeterminated frequency value is defined as described mesh Mark threshold value.

12. methods according to claim 10, it is characterised in that when described active state is institute When stating three active states, described determine targets threshold according to described alternative acceleration frequency domain data, including:

If the first alternative acceleration frequency domain data in described alternative acceleration frequency domain data corresponding One acceleration frequency value is the second alternative acceleration frequency domain data in described alternative acceleration frequency domain data The half of the second acceleration frequency value, is defined as described targets threshold by described first acceleration frequency value.

13. methods according to claim 8, it is characterised in that described according to described second heart rate Frequency domain data and described history heart rate value, determine described real-time heart rate value, including:

The range value described second heart rate frequency domain more than predetermined amplitude value is chosen according to descending order Data are as the first alternative heart rate frequency domain data；

According to described first alternative heart rate frequency domain data and described history heart rate value, determine described real-time heart rate Value.

14. methods according to claim 13, it is characterised in that when described first alternative heart rate When the number of frequency domain data is 1, described according to described first alternative heart rate frequency domain data and the described history heart Rate value, determines described real-time heart rate value, including:

Judge the alternative heart rate value of described first alternative heart rate frequency domain data and the of described history heart rate value Whether one difference is less than the first preset difference value；

When described first difference is less than described first preset difference value, described alternative heart rate value is defined as institute State real-time heart rate value；

When described difference is not less than described first preset difference value, by target heart corresponding for target amplitude value Value is defined as described real-time heart rate value, and described target amplitude value is and described first alternative heart rate frequency domain data The immediate peak value of range value.

15. methods according to claim 13, it is characterised in that when described first alternative heart rate When the number of frequency domain data is multiple, described according to described first alternative heart rate frequency domain data and described history Heart rate value, determines described real-time heart rate value, including:

First object alternative acceleration frequency domain data is determined from described acceleration frequency domain data；

The second target alternative acceleration frequency domain is deleted from described first object alternative acceleration frequency domain data Data, obtain the 3rd target alternative acceleration frequency domain data, described second target alternative acceleration frequency domain number According to being the first object alternative acceleration frequency value that acceleration frequency domain data alternative with described first object is corresponding The second difference with described history heart rate value is less than the alternative acceleration of described first object of the second preset difference value Frequency domain data；

According to described first alternative heart rate frequency domain data, described 3rd target alternative acceleration frequency domain data and Described history heart rate value, determines described real-time heart rate value.

16. methods according to claim 15, it is characterised in that described from described acceleration frequency Numeric field data determines first object alternative acceleration frequency domain data, including:

To include described first alternative acceleration frequency domain data, described second alternative acceleration frequency domain data, The described alternative acceleration frequency domain data corresponding to frequency multiplication of described first alternative acceleration frequency domain data and institute State the described alternative acceleration frequency domain data corresponding to the frequency multiplication of the second alternative acceleration frequency domain data as institute State first object alternative acceleration frequency domain data.

17. methods according to claim 15, it is characterised in that described according to described first standby Select heart rate frequency domain data, described 3rd target alternative acceleration frequency domain data and described history heart rate value, really Fixed described real-time heart rate value, including:

Described alternative heart rate value and described 3rd target is deleted in described first alternative heart rate frequency domain data 3rd difference of the aimed acceleration frequency values that acceleration frequency domain data is corresponding is less than the institute of the 3rd preset difference value State the first alternative heart rate frequency domain data, obtain described second alternative heart rate frequency domain data；

Judge the second target alternative heart rate value of described second alternative heart rate frequency domain data and the described history heart Whether the 4th difference of rate value is less than the 4th preset difference value；

If there being the described 4th poor of multiple described second target alternative heart rate value and described history heart rate value Value is less than described 4th preset difference value, the described second target alternative heart rate frequency domain data maximum by range value Corresponding described second target alternative heart rate value is defined as described real-time heart rate value；

If there being the described 4th poor of a described second target alternative heart rate value and described history heart rate value Value less than described 4th preset difference value, then will be less than described with described 4th difference of described history heart rate value The described second target alternative heart rate value of the 4th preset difference value is defined as described real-time heart rate value；

18. 1 kinds of heartbeat detection devices, it is characterised in that described device includes:

19. devices according to claim 18, it is characterised in that described data acquisition module bag Include:

20. devices according to claim 19, it is characterised in that described first determines submodule Including:

21. devices according to claim 19, it is characterised in that described second determines submodule Including:

22. devices according to claim 19, it is characterised in that described active state determines mould Block includes:

23. devices according to claim 22, it is characterised in that described real-time heart rate obtains mould Block includes:

24. devices according to claim 23, it is characterised in that described filtering submodule includes:

25. devices according to claim 23, it is characterised in that described real-time heart rate determines son Module includes:

26. devices according to claim 25, it is characterised in that when described active state is institute When stating the first active state, the number of described first heart rate frequency domain data is 0.

27. methods according to claim 25, it is characterised in that described second removes unit bag Include:

28. devices according to claim 27, it is characterised in that described first threshold determines son Unit includes:

29. devices according to claim 27, it is characterised in that described first threshold determines son Unit includes:

30. devices according to claim 25, it is characterised in that described real-time heart rate determines list Unit includes:

31. devices according to claim 30, it is characterised in that the described first real-time heart rate is true Stator unit includes:

32. devices according to claim 30, it is characterised in that the described first real-time heart rate is true Stator unit includes:

33. devices according to claim 32, it is characterised in that described first acceleration determines Subelement includes:

34. devices according to claim 32, it is characterised in that the described 4th real-time heart rate is true Stator unit includes:

35. 1 kinds of intelligent wearable devices, it is characterised in that include any one of claim 18-34 institute The heartbeat detection device stated.