CN105708440A - Resting heart rate measuring method and terminal - Google Patents
Resting heart rate measuring method and terminal Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/0245—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
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- A61B5/7271—Specific aspects of physiological measurement analysis
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Abstract
The embodiment of the invention provides a resting heart rate measuring method and a terminal. The resting heart rate measuring method comprises the following steps: acquiring user physiological parameter measurement information stored within set time in intelligent wearable equipment, wherein the user physiological parameter measurement information comprises heart rate data, sleep data and motion data which are stored according to time sequence; respectively comparing time of the heart rate data with time of the sleep data and the motion data, and acquiring multiple effective resting heart rate data within the set time; and calculating average value of multiple effective resting heart rate data within the set time as the resting heart rate within the set time. By adopting the resting heart rate measuring method and the terminal, the terminal can automatically and intelligently measure the resting heart rate, and convenience, rapidity and efficiency of resting heart rate measurement are improved.
Description
Technical field
The present invention relates to field of terminal technology, particularly relate to a kind of resting heart rate measuring method and terminal.
Background technology
Whether the heart rate of human body normally can directly embody the health status of the person, reasonably regulates diet, programming movement etc. by the changes in heart rate of understanding human body self and can keep the health status of oneself's health.
Resting heart rate be regain consciousness, human heart rate under not motion rest state, it is possible to being called HRrest, it can as an index of reaction human health status (life-span length).Resting heart rate for healthy human body every day is more stable, and general resting heart rate is at the mark that 50～65 times/day (or under sleep state, heart rate is 38～50 beats/min) is health of heart/longevity；If resting heart rate is accelerated suddenly or slows down, generally indicate that fatigue or ill, now need to ascertain the reason in time.As can be seen here, how to measure resting heart rate become one must obligato work.
Summary of the invention
Embodiment of the present invention technical problem to be solved is in that, it is provided that method, device and the terminal that a kind of resting heart rate is measured, and can promote convenient and swift property and high efficiency that resting heart rate is measured.
On the one hand, the embodiment of the present invention openly provides a kind of method that resting heart rate is measured, and described method includes:
Obtaining the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes according to the heart rate data of time storage, dormant data and exercise data；
The time of the time of described heart rate data with described dormant data and exercise data is compared respectively, obtains the multiple effective resting heart rate data in described setting time range；
Calculate the meansigma methods of multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.
Wherein alternatively, the time of the described time by described heart rate data and described dormant data and exercise data compares respectively, obtains the multiple effective resting heart rate data in described setting time range, including:
Judge that whether the time of described heart rate data is identical with the time of described dormant data, and judge whether there is described exercise data in the very first time threshold value before the time of described heart rate data；
If the time of the time of described heart rate data and described dormant data differs, and be absent from described exercise data in the very first time threshold value before the time of described heart rate data, then using described heart rate data as the multiple effective resting heart rate data in described setting time range.
Wherein alternatively, whether described judgement exists described exercise data in the very first time threshold value before the time of described heart rate data, including:
Judge that the time of described heart rate data is unsatisfactory for following two condition simultaneously: between time started and end time that the time of described heart rate data is in described exercise data；And
Difference between time and the end time of described exercise data of described heart rate data is more than 0 and less than described very first time threshold value.
Wherein alternatively, described dormant data includes: one or more in the length of one's sleep, user's body temperature, heart rate, activity, and described exercise data includes: exercise duration, motion end time, heart rate, motion duration, move distance, kinergety consume in one or more.
Wherein alternatively, described effective resting heart rate data are made a comment or criticism normal and stable heart rate data.
On the other hand, the embodiment of the present invention is also disclosed and provides the device that a kind of resting heart rate is measured, and described device includes:
First acquisition module, for obtaining the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes according to the heart rate data of time storage, dormant data and exercise data；
Second acquisition module, for being compared respectively the time of the time of described heart rate data with described dormant data and exercise data, obtains the multiple effective resting heart rate data in described setting time range；
Computing module, for calculating the meansigma methods of the multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.
Wherein alternatively,
Described second acquisition module, whether the time specifically for judging described heart rate data is identical with the time of described dormant data, and judges whether there is described exercise data in the very first time threshold value before the time of described heart rate data；If the time of the time of described heart rate data and described dormant data differs, and be absent from described exercise data in the very first time threshold value before the time of described heart rate data, then using described heart rate data as the multiple effective resting heart rate data in described setting time range.
Wherein alternatively,
Described second acquisition module, is unsatisfactory for following two condition also particularly useful for the time judging described heart rate data: between time started and end time that the time of described heart rate data is in described exercise data simultaneously；And the difference between time and the end time of described exercise data of described heart rate data is more than 0 and less than described very first time threshold value.
Wherein alternatively,
Described dormant data includes: one or more in the length of one's sleep, user's body temperature, heart rate, activity, and described exercise data includes: exercise duration, motion end time, heart rate, motion duration, move distance, kinergety consume in one or more.
Wherein alternatively, described effective resting heart rate data are made a comment or criticism normal and stable heart rate data.
Another further aspect, the embodiment of the present invention is also disclosed and provides a kind of terminal, including resting heart rate measurement apparatus as above.
The embodiment of the present invention can pass through to obtain the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes the heart rate data according to time storage, dormant data and exercise data, again the time of the time of described heart rate data with described dormant data and exercise data is compared respectively, obtain the multiple effective resting heart rate data in described setting time range, finally calculate the meansigma methods of multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.Such terminal can automatization, intelligently carry out the measurement of resting heart rate, improve convenient and swift property and high efficiency that resting heart rate is measured.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of resting heart rate measuring method of the embodiment of the present invention；
Fig. 2 is the schematic flow sheet of the another kind of resting heart rate measuring method of the embodiment of the present invention；
Fig. 3 is the structural representation of a kind of resting heart rate measurement apparatus of the embodiment of the present invention；
Fig. 4 is the structural representation of a kind of terminal of the embodiment of the present invention.
Detailed description of the invention
Embodiments providing a kind of resting heart rate measuring method, device and terminal, to key word can carry out fast search, obtain the most conceivable object information of user, simple to operate, efficiency is high.
In order to make those skilled in the art be more fully understood that the present invention program, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of a present invention part, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, all should belong to the scope of protection of the invention.
Term " first " in description and claims of this specification and above-mentioned accompanying drawing, " second " and " the 3rd " etc. are for distinguishing different object, not for describing particular order.Additionally, term " including " and their any deformation, it is intended that cover non-exclusive comprising.Such as contain series of steps or the process of unit, method, system, product or equipment are not limited to step or the unit listed, but also include step or the unit do not listed alternatively, or also include other step intrinsic for these processes, method, product or equipment or unit alternatively.
Refer to Fig. 1, it it is the schematic flow sheet of a kind of resting heart rate measuring method of the embodiment of the present invention, the described method of the embodiment of the present invention can be applied in such as smart mobile phone, panel computer, intelligence wearable device etc. with, in the terminal of communications network functionality, specifically being realized by the processor of these communication terminals.The described method of the embodiment of the present invention also comprises the steps.
S101, the user's physiological parameter measurement information obtained in the setting time range stored in intelligence wearable device, wherein, described user's physiological parameter measurement information includes according to the heart rate data of time storage, dormant data and exercise data.
In the embodiment of the present invention, communication terminal can obtain in the setting time range of user or system self-defined setting in advance (such as concrete some day from intelligence wearable device, March 17) user's physiological parameter measurement information, wherein, described user's physiological parameter measurement information can include such as user's heart rate data, dormant data, exercise data, temperature data, height, the information such as body weight, described user's physiological parameter measurement information can store according to time order and function order, such as heart rate data, dormant data and temperature data etc. can store according to time order and function order.
Described dormant data refers to that user is in the body index data under sleep state, it is possible to include the information such as user length of one's sleep, user's body temperature, heart rate, activity；Described exercise data refer to user be kept in motion under body index data, it is possible to including exercise duration, the motion information such as end time, heart rate, motion duration, move distance, kinergety consumption, the embodiment of the present invention is not construed as limiting.
Described communication terminal can include smart mobile phone (such as Android phone, IOS mobile phone etc.), PC, panel computer, palm PC, mobile internet device (MID, MobileInternetDevices) or the internet device such as wearable intelligent equipment (such as bracelet, wrist-watch etc.), the embodiment of the present invention is not construed as limiting.
S102, the time of the time of described heart rate data and described dormant data and exercise data is compared respectively, obtain the multiple effective resting heart rate data in described setting time range.
In the embodiment of the present invention, communication terminal can according to the user's physiological parameter measurement information including heart rate data, dormant data, exercise data in the described setting time range got in S101, it is determined that goes out the time of the time of the described heart rate data got, time of described dormant data and described exercise data；The time of described heart rate data can be contrasted by described communication terminal respectively with the time of the time of described dormant data, described exercise data, determine the multiple effective resting heart rate data in described setting time range, wherein, described effective resting heart rate data may refer to normal and stable heart rate data.
Wherein alternatively, the time of the described time by described heart rate data and described dormant data and exercise data compares respectively, obtains the multiple effective resting heart rate data in described setting time range, including:
Judge that whether the time of described heart rate data is identical with the time of described dormant data, and judge whether there is described exercise data in the very first time threshold value before the time of described heart rate data；
If the time of the time of described heart rate data and described dormant data differs, and be absent from described exercise data in the very first time threshold value before the time of described heart rate data, then using described heart rate data as the multiple effective resting heart rate data in described setting time range.
Described communication terminal can first determine whether that whether the time of described heart rate data is identical with the time of described dormant data, if identical, then described communication terminal may determine that described heart rate data is the sleep heart rate of user under sleep state；Otherwise, described communication terminal can determine that described heart rate data is the clear-headed heart rate that user is under waking state.Described communication terminal can also judge whether to exist in the very first time threshold value (such as 15 minutes) before the time of described heart rate data as described in exercise data, if existing, then described communication terminal may determine that described heart rate data is the exercise heart rate under user is kept in motion；Otherwise, described communication terminal can determine that described heart rate data is the HRrest that user is under rest state.Differ when the time of time and described dormant data that described communication terminal determines described heart rate data simultaneously, and it being absent from described exercise data in the very first time threshold range before the time of described heart rate data, then each heart rate data that described communication terminal can will determine that is as the multiple effective resting heart rate data in described setting time range.
Wherein alternatively, whether described judgement exists described exercise data in the very first time threshold value before the time of described heart rate data, including:
Judge that the time of described heart rate data is unsatisfactory for following two condition simultaneously: between time started and end time that the time of described heart rate data is in described exercise data；And
Difference between time and the end time of described exercise data of described heart rate data is more than 0 and less than described very first time threshold value.
Described communication terminal can also judge between time started and the end time whether time of described heart rate data is in described exercise data, if being in, then described communication terminal may determine that described heart rate data is the exercise data under user is kept in motion；Described communication terminal can also judge that whether time of time of described heart rate data and described service data difference between the two is more than 0 and less than described very first time threshold value, if so, then described communication terminal can determine that described heart rate data is the heart rate after user movement in recovery process；When described communication terminal determines the time of described heart rate data not between the time started of described exercise data and end time simultaneously, and the difference between time and the end time of described exercise data of described heart rate data more than or equal to the described very first time threshold value time, then described communication terminal can determine that described heart rate data is in the HRrest under non-athletic state (that is to say rest state) for user.
Described very first time threshold value was user or the system time threshold of self-defined setting in described communication terminal in advance, such as 5 minutes, 10 minutes etc..
S103, the multiple effective resting heart rate data calculated in described setting time range meansigma methods, as the resting heart rate in described setting time range.
In the embodiment of the present invention, the multiple effective resting heart rate data in the described setting time range determined in S102 can be calculated averaged by communication terminal, using the HR values after calculating as the resting heart rate in described setting time range.
Exemplarily, the daily Intelligent bracelet A that wears of user A monitors and records oneself daily life data, the data such as such as motion, sleep, environment (such as humiture, air pressure)；Existing user A wants to test, by Intelligent bracelet A, the resting heart rate understanding oneself yesterday (this sky on March 16th, 2016), then Intelligent bracelet A can obtain from this Intelligent bracelet A on March 16th, 2016 this day for affect resting heart rate measure dormant data, heart rate data and meter step data, wherein, the daily life data monitored are stored to this Intelligent bracelet by Intelligent bracelet A sequentially in time；The all heart rate datas (that is to say all of heart rate data this day on the 16th March in 2016) got can be contrasted by described Intelligent bracelet A with each the dormant data got, it is judged that whether the time that described heart rate data is corresponding is user's A waking state (that is to say non-sleep state) moment；The all heart rate datas got can also be contrasted by described Intelligent bracelet A with get each meter step data, it is judged that time corresponding to described heart rate data forward in 15 minutes user A whether have meter step；If described Intelligent bracelet A determines described heart rate data, the corresponding time is user's waking state moment, and do not count step in 15 minutes forward, then described Intelligent bracelet just can using this heart rate data as effective resting heart rate data, in like manner, described Intelligent bracelet A may determine that and gets a plurality of effective resting heart rate data, described a plurality of effective resting heart rate data averaged that judgement is got by described Intelligent bracelet A, as this user A resting heart rate on March 16th, 2016.
It should be noted that when following two condition is all unsatisfactory for, represents and do not count step in 15 minutes forward:
One, the time of described heart rate data was between time started and the end time of a certain bar meter step data.
Two, the difference of the end time of the time of described heart rate data and a certain bar meter step data is more than 0, and less than 15 minutes, that is to say that the end time of a certain bar meter step data deducts numerical value that time of described heart rate data obtains more than 0, and less than 15 minutes.
Refer to Fig. 2, it it is the schematic flow sheet of the another kind of resting heart rate measuring method of the embodiment of the present invention, the described method of the embodiment of the present invention can be applied in such as smart mobile phone, panel computer, intelligence wearable device etc. with, in the terminal of communications network functionality, specifically being realized by the processor of these communication terminals.The described method of the embodiment of the present invention also comprises the steps.
S201, the user's physiological parameter measurement information obtained in the setting time range stored in intelligence wearable device, wherein, described user's physiological parameter measurement information includes according to the heart rate data of time storage, dormant data and exercise data.
S202, judge that whether the time of described heart rate data is identical with the time of described dormant data.
In the embodiment of the present invention, communication terminal may determine that whether the time of described heart rate data is identical with the time of described dormant data, if differing, then continues executing with step S203；Otherwise, process ends.
Wherein, described dormant data includes: one or more in the length of one's sleep, user's body temperature, heart rate, activity, and described exercise data includes: exercise duration, motion end time, heart rate, motion duration, move distance, kinergety consume in one or more.
S203, judge between time started and the end time whether time of described heart rate data is in described exercise data.
In the embodiment of the present invention, communication terminal may determine that between time started and the end time whether time of described heart rate data is in described exercise data, if being not at, then continues executing with step S204；Otherwise, process ends.
Whether S204, the difference judged between the time of described heart rate data and the end time of described exercise data be more than 0 and less than described very first time threshold value.
In the embodiment of the present invention, communication terminal may determine that whether the difference between the time of described heart rate data and the end time of described exercise data is more than 0 and less than described very first time threshold value, if it is not, then continue executing with step S205；Otherwise, process ends.
It should be noted that communication terminal order when performing step S202, step S203 and step S204 is variable.
S205, using described heart rate data as the multiple effective resting heart rate data in described setting time range, wherein, described effective resting heart rate data are made a comment or criticism normal and stable heart rate data.
S206, the multiple effective resting heart rate data calculated in described setting time range meansigma methods, as the resting heart rate in described setting time range.
The embodiment of the present invention can pass through to obtain the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes the heart rate data according to time storage, dormant data and exercise data, again the time of the time of described heart rate data with described dormant data and exercise data is compared respectively, obtain the multiple effective resting heart rate data in described setting time range, finally calculate the meansigma methods of multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.Such terminal can automatization, intelligently carry out the measurement of resting heart rate, improve convenient and swift property and high efficiency that resting heart rate is measured.
Refer to Fig. 3, it it is the structural representation of a kind of resting heart rate measurement apparatus of the embodiment of the present invention, the described device of the embodiment of the present invention can may be provided at such as smart mobile phone, panel computer, intelligence wearable device etc. with in the terminal of communications network functionality, and described device 3 includes:
First acquisition module 30, for obtaining the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes according to the heart rate data of time storage, dormant data and exercise data；
Second acquisition module 31, for being compared respectively the time of the time of described heart rate data with described dormant data and exercise data, obtains the multiple effective resting heart rate data in described setting time range；
Computing module 32, for calculating the meansigma methods of the multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.
Wherein alternatively, in embodiments of the present invention,
Described second acquisition module 31, whether the time specifically for judging described heart rate data is identical with the time of described dormant data, and judges whether there is described exercise data in the very first time threshold value before the time of described heart rate data；If the time of the time of described heart rate data and described dormant data differs, and be absent from described exercise data in the very first time threshold value before the time of described heart rate data, then using described heart rate data as the multiple effective resting heart rate data in described setting time range.
Wherein alternatively, in embodiments of the present invention,
Described second acquisition module 31, is unsatisfactory for following two condition also particularly useful for the time judging described heart rate data: between time started and end time that the time of described heart rate data is in described exercise data simultaneously；And the difference between time and the end time of described exercise data of described heart rate data is more than 0 and less than described very first time threshold value.
Wherein alternatively, in embodiments of the present invention,
Described dormant data includes: one or more in the length of one's sleep, user's body temperature, heart rate, activity, and described exercise data includes: exercise duration, motion end time, heart rate, motion duration, move distance, kinergety consume in one or more.
Wherein alternatively, in embodiments of the present invention,
Described effective resting heart rate data are made a comment or criticism normal and stable heart rate data.
The embodiment of the present invention can pass through to obtain the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes the heart rate data according to time storage, dormant data and exercise data, again the time of the time of described heart rate data with described dormant data and exercise data is compared respectively, obtain the multiple effective resting heart rate data in described setting time range, finally calculate the meansigma methods of multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.Such terminal can automatization, intelligently carry out the measurement of resting heart rate, improve convenient and swift property and high efficiency that resting heart rate is measured.
The implementing of the modules related in the embodiment of the present invention is referred in Fig. 1 to Fig. 2 correspondence embodiment the description of related function module, is not repeated herein.
Refer to Fig. 4 again, be the structural representation of a kind of terminal of the embodiment of the present invention.Described terminal can be the equipment with communications network functionality such as smart mobile phone, panel computer, intelligence wearable device, as shown in Figure 4, the described terminal of the embodiment of the present invention can include the modules such as display screen, button, speaker, pick up, and also include: at least one bus 501, at least one processor 502 being connected with bus 501 and at least one memorizer 503 being connected with bus 501, realize the communicator 505 of communication function, for the supply unit 504 of each power consumption module for power supply of communication terminal.
Described processor 502 can pass through bus 501, calls the code stored in memorizer 503 to perform the function being correlated with.
Described processor 502, for obtaining the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes according to the heart rate data of time storage, dormant data and exercise data；The time of the time of described heart rate data with described dormant data and exercise data is compared respectively, obtains the multiple effective resting heart rate data in described setting time range；Calculate the meansigma methods of multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.
Still optionally further, described processor 502 is additionally operable to judge that whether the time of described heart rate data is identical with the time of described dormant data, and judges whether there is described exercise data in the very first time threshold value before the time of described heart rate data；If the time of the time of described heart rate data and described dormant data differs, and be absent from described exercise data in the very first time threshold value before the time of described heart rate data, then using described heart rate data as the multiple effective resting heart rate data in described setting time range.
Still optionally further, described processor 502 is additionally operable to judge that the time of described heart rate data is unsatisfactory for following two condition simultaneously: between time started and end time that the time of described heart rate data is in described exercise data；And the difference between time and the end time of described exercise data of described heart rate data is more than 0 and less than described very first time threshold value.
Still optionally further, described processor 502 is additionally operable to described dormant data and includes: one or more in the length of one's sleep, user's body temperature, heart rate, activity, and described exercise data includes: exercise duration, motion end time, heart rate, motion duration, move distance, kinergety consume in one or more.
Still optionally further, described processor 502 is additionally operable to described effective resting heart rate data and makes a comment or criticism normal and stable heart rate data.
The embodiment of the present invention can pass through to obtain the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes the heart rate data according to time storage, dormant data and exercise data, again the time of the time of described heart rate data with described dormant data and exercise data is compared respectively, obtain the multiple effective resting heart rate data in described setting time range, finally calculate the meansigma methods of multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.Such terminal can automatization, intelligently carry out the measurement of resting heart rate, improve convenient and swift property and high efficiency that resting heart rate is measured.
The embodiment of the present invention also provides for a kind of computer-readable storage medium, and wherein, this computer-readable storage medium can have program stored therein, and this program includes recording in said method embodiment any audio frequency when performing plays the part or all of step of the operational approach of application.
It should be noted that, for aforesaid each embodiment of the method, in order to be briefly described, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, embodiment described in this description belongs to preferred embodiment, necessary to involved action and the module not necessarily present invention.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, certain embodiment there is no the part described in detail, it is possible to referring to the associated description of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, can realize by another way.Such as, device embodiment described above is merely schematic, the such as division of described unit, it is only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or be desirably integrated into another system, or some features can be ignored, or does not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be through INDIRECT COUPLING or the communication connection of some interfaces, device or unit, it is possible to be electrical or other form.
The described unit illustrated as separating component can be or may not be physically separate, and the parts shown as unit can be or may not be physical location, namely may be located at a place, or can also be distributed on multiple NE.Some or all of unit therein can be selected according to the actual needs to realize the purpose of the present embodiment scheme.
It addition, each functional unit in various embodiments of the present invention can be integrated in a processing unit, it is also possible to be that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated unit both can adopt the form of hardware to realize, it would however also be possible to employ the form of SFU software functional unit realizes.
If described integrated unit is using the form realization of SFU software functional unit and as independent production marketing or use, it is possible to be stored in a computer read/write memory medium.Based on such understanding, part or all or part of of this technical scheme that prior art is contributed by technical scheme substantially in other words can embody with the form of software product, this computer software product is stored in a storage medium, including some instructions with so that a computer equipment (can for personal computer, server or the network equipment etc.) performs all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium includes: USB flash disk, read only memory (ROM, Read-OnlyMemory), the various media that can store program code such as random access memory (RAM, RandomAccessMemory), portable hard drive, magnetic disc or CD.
The above, above example only in order to technical scheme to be described, is not intended to limit；Although the present invention being described in detail with reference to previous embodiment, it will be understood by those within the art that: the technical scheme described in foregoing embodiments still can be modified by it, or wherein portion of techniques feature is carried out equivalent replacement；And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (10)
1. a resting heart rate measuring method, it is characterised in that described method includes:
Obtaining the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes according to the heart rate data of time storage, dormant data and exercise data；
The time of the time of described heart rate data with described dormant data and exercise data is compared respectively, obtains the multiple effective resting heart rate data in described setting time range；
Calculate the meansigma methods of multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.
2. the method for claim 1, it is characterised in that the time of the described time by described heart rate data and described dormant data and exercise data compares respectively, obtains the multiple effective resting heart rate data in described setting time range, including:
Judge that whether the time of described heart rate data is identical with the time of described dormant data, and judge whether there is described exercise data in the very first time threshold value before the time of described heart rate data；
If the time of the time of described heart rate data and described dormant data differs, and be absent from described exercise data in the very first time threshold value before the time of described heart rate data, then using described heart rate data as the multiple effective resting heart rate data in described setting time range.
3. method as claimed in claim 2, it is characterised in that whether described judgement exists described exercise data in the very first time threshold value before the time of described heart rate data, including:
Judge that the time of described heart rate data is unsatisfactory for following two condition simultaneously: between time started and end time that the time of described heart rate data is in described exercise data；And
Difference between time and the end time of described exercise data of described heart rate data is more than 0 and less than described very first time threshold value.
4. the method as described in claim 1-3 any one, it is characterized in that, described dormant data includes: one or more in the length of one's sleep, user's body temperature, heart rate, activity, and described exercise data includes: exercise duration, motion end time, heart rate, motion duration, move distance, kinergety consume in one or more.
5. method as claimed in claim 4, it is characterised in that described effective resting heart rate data are made a comment or criticism normal and stable heart rate data.
6. a terminal, it is characterised in that described terminal includes:
First acquisition module, for obtaining the user's physiological parameter measurement information set in time range of storage in intelligence wearable device, wherein, described user's physiological parameter measurement information includes according to the heart rate data of time storage, dormant data and exercise data；
Second acquisition module, for being compared respectively the time of the time of described heart rate data with described dormant data and exercise data, obtains the multiple effective resting heart rate data in described setting time range；
Computing module, for calculating the meansigma methods of the multiple effective resting heart rate data in described setting time range, as the resting heart rate in described setting time range.
7. terminal as claimed in claim 6, it is characterised in that
Described second acquisition module, whether the time specifically for judging described heart rate data is identical with the time of described dormant data, and judges whether there is described exercise data in the very first time threshold value before the time of described heart rate data；If the time of the time of described heart rate data and described dormant data differs, and be absent from described exercise data in the very first time threshold value before the time of described heart rate data, then using described heart rate data as the multiple effective resting heart rate data in described setting time range.
8. terminal as claimed in claim 7, it is characterised in that
Described second acquisition module, is unsatisfactory for following two condition also particularly useful for the time judging described heart rate data: between time started and end time that the time of described heart rate data is in described exercise data simultaneously；And the difference between time and the end time of described exercise data of described heart rate data is more than 0 and less than described very first time threshold value.
9. terminal as described in any one in claim 6-8, it is characterized in that, described dormant data includes: one or more in the length of one's sleep, user's body temperature, heart rate, activity, and described exercise data includes: exercise duration, motion end time, heart rate, motion duration, move distance, kinergety consume in one or more.
10. terminal as claimed in claim 9, it is characterised in that described effective resting heart rate data are made a comment or criticism normal and stable heart rate data.
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