CN109008993A - A kind of vital sign data collection control method and device - Google Patents
A kind of vital sign data collection control method and device Download PDFInfo
- Publication number
- CN109008993A CN109008993A CN201810768884.3A CN201810768884A CN109008993A CN 109008993 A CN109008993 A CN 109008993A CN 201810768884 A CN201810768884 A CN 201810768884A CN 109008993 A CN109008993 A CN 109008993A
- Authority
- CN
- China
- Prior art keywords
- vital sign
- user
- data
- preset
- sign data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- 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
-
- 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/029—Humidity sensors
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/06—Arrangements of multiple sensors of different types
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Cardiology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Public Health (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Physiology (AREA)
- Pulmonology (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The embodiment of the present invention provides a kind of vital sign data collection control method and device, which includes being based on preset data sampling time point, and whether assessment user's current state is regular motion state；If user's current state is regular motion state, controls each data sampling sensor and the vital sign data of user is acquired.The present invention can acquire acquisition of the opportunity realization to vital sign data based on suitable data, it is ensured that the accuracy and reliability of data acquisition.
Description
Technical field
The present invention relates to intelligent wearable device technical fields, in particular to a kind of vital sign data acquisition control
Method and apparatus.
Background technique
With the fast development of development of Mobile Internet technology, wearable device makes rapid progress, and attention rate and demand degree all exist
Constantly promoted.Wherein, to meet modern to the needs of healthy, movement aspect is growing, various wearable devices are all successive
It is proposed the healthy following function for being able to detect user's vital sign data (such as heart rate, blood oxygen saturation, blood pressure, breathing).
But from the point of view of just current user is using feedback, most of wearable devices can only accurately monitor the life under stationary state
Sign data, and under motion state, especially acyclic irregular movement is not easy to accurately obtain user's life
Sign value.
Summary of the invention
In view of this, the embodiment of the present invention is designed to provide a kind of vital sign data collection control method and dress
It sets, the above problem can be effectively improved.
Present pre-ferred embodiments provide a kind of vital sign data collection control method, are applied to wearable device,
It is integrated in the wearable device multiple for acquiring the data sampling sensor of user's vital sign data, the method packet
It includes:
User based on the data sampling sensor acquisition in preset data sampling time point and the wearable device
The current state of vital sign data assessment user whether be preset regular motion state；
If the current state of user is preset regular motion state, each data sampling sensor is controlled to user's
Vital sign data is acquired.
In the selection of present pre-ferred embodiments, the method also includes:
If the current state of user is non-regularity motion state, continue including the preset data sampling time point
The default sampling period in the motion state of user carry out continue assessment with judge the user current motion state whether be
Regular motion state；
If within the default sampling period comprising the preset data sampling time point, with there is no regularity movements per family
State does not execute the acquisition operation to vital sign data then.
In the selection of present pre-ferred embodiments, the method also includes:
Detection user in data sampling sensor progress vital sign data collection process whether there is preset
Irregularities motor behavior；
If it exists, then it controls each data sampling sensor and stops vital sign data acquisition operation, and based on current
Sampling period is again assessed the current motion state of user to judge whether there is regular motion state；
If regular motion state is not present in the motion state of user until current sample period terminates, then abandon each
The vital sign data that the data sampling sensor acquires in the preset sampling period.
In the selection of present pre-ferred embodiments, the regularity motion state includes cycle movement or the static shape of class
One of state is a variety of.
In the selection of present pre-ferred embodiments, the method also includes:
Judge whether current point in time is preset data sampling time point, if so, when executing based on preset data sampling
Between the vital sign data assessment user of user of data sampling sensor acquisition in point and the wearable device work as
The step of whether preceding state is preset regular motion state.
In the selection of present pre-ferred embodiments, the method also includes:
Judge that each data sampling sensor acquires in the sampling period for including the preset data sampling time point
Vital sign data whether meet preset need；
If satisfied, then determining that data are acquired successfully and saved to collected vital sign data.
Present pre-ferred embodiments also provide a kind of vital sign data acquisition control device, are applied to wearable device,
It is integrated in the wearable device multiple for acquiring the data sampling sensor of user's vital sign data, described device packet
It includes:
State estimation module, for based on the data acquisition in preset data sampling time point and the wearable device
Whether the current state of the vital sign data assessment user of the user of sensor acquisition is preset regular motion state；
When acquisition control module for the current state in user is preset regular motion state, each data are controlled
Acquisition sensor is acquired the vital sign data of user.
In the selection of present pre-ferred embodiments, the state estimation module is also used in the current state of user be non-
When regular motion state, continue the motion state in the sampling period for including the preset data sampling time point to user
It carries out continuing assessment with the current motion state for judging the user whether being preset regular motion state；And
If within the default sampling period comprising the preset data sampling time point, with there is no regularity movements per family
State does not execute the acquisition operation to vital sign data then.
In the selection of present pre-ferred embodiments, described device further include:
Behavioral value module use in vital sign data collection process in the data sampling sensor for detecting
Family whether there is preset irregularities motor behavior；And
The acquisition control module is also used to when there are irregularities motor behavior, controls each data acquisition sensing
Device stops vital sign data acquisition operation, and controls the state estimation module based on current sample period again to user's
Current motion state is assessed to judge whether there is regular motion state；
If regular motion state is not present in the motion state of user until current sample period terminates, then abandon each
The vital sign data that the data sampling sensor acquires in the preset sampling period.
In the selection of present pre-ferred embodiments, described device further include:
Sampled point judgment module, for judging whether current point in time is preset data sampling time point, if so, control
The state estimation module, which is executed, acquires sensing based on the data in preset data sampling time point and the wearable device
Whether the current state of the vital sign data assessment user of the user of device acquisition is preset regular motion state.
Compared with prior art, the embodiment of the present invention provides a kind of vital sign data collection control method and device,
In, it is assessed by the motion state to user, and control whether data sampling sensor carries out data according to assessment result
Acquisition operation can be carried out efficient, accurate data acquisition based on effective data acquisition opportunity, be provided more accurately for user
Round-the-clock vital sign monitoring data.Meanwhile the present invention can also reduce the power consumption of wearable device, be adapted to wearable device
Small size, long continuation of the journey require.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the wearable device using vital sign data collection control method and device provided in an embodiment of the present invention
Frame structure schematic diagram.
Fig. 2 is the flow diagram of vital sign data collection control method provided in an embodiment of the present invention.
Fig. 3 is another flow diagram of vital sign data collection control method provided in an embodiment of the present invention.
Fig. 4 is the another flow diagram of vital sign data collection control method provided in an embodiment of the present invention.
Fig. 5 is the frame structure schematic diagram of vital sign data acquisition control device provided in an embodiment of the present invention.
Icon: 10- wearable device；100- vital sign data acquisition control device；110- state estimation module；120-
Acquisition control module；130- behavioral value module；140- sampled point judgment module；150- data mode judgment module；200- is deposited
Reservoir；300- storage control；400- processor.
Specific embodiment
Through inventor the study found that in order to save power consumption, various mainstream smartwatch currently on the market, Intelligent bracelet or
Intelligent spire lamella is all made of collection strategy realization in signals such as round-the-clock monitoring user's vital signs, i.e., according to presetting
Acquisition time interval, vital sign data detection is carried out to user every a fixed duration.But wearable device above-mentioned
Data collecting mechanism is although simple and easy, but is difficult to ensure that the time point of time opening acquisition is suitable acquisition opportunity, and
When wearable smart machine sampling time interval is too long, then the round-the-clock detection to vital sign data is difficult to ensure；And at that time
Between be spaced too short or even keep uninterrupted for a long time when opening bio-signal acquisition, although being able to ascend vital sign data
Acquisition quantity, but the power consumption of wearable smart machine can increase significantly, cause product short cruise duration, influence user's body
It tests.
Therefore, it is based on the above-mentioned problems in the prior art, the embodiment of the present invention provides a kind of vital sign data and adopts
Collect control method and device, by being assessed data acquisition opportunity to carry out vital sign data in the suitable period
Acquisition, can effectively solve the problem that the above problem of the existing technology.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually
The component for the embodiment of the present invention being described and illustrated herein in the accompanying drawings can be arranged and be designed with a variety of different configurations.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
As shown in Figure 1, for application vital sign data collection control method provided in an embodiment of the present invention and device can
The frame structure schematic diagram of wearable device 10, the wearable device 10 include vital sign data acquisition control device 100, storage
Device 200, storage control 300 and processor 400.Wherein, the memory 200, storage control 300 and processor 400
Each element is directly or indirectly electrically connected between each other, to realize the transmission or interaction of data.For example, leading between these elements
It crosses one or more communication bus or signal wire is realized and is electrically connected.The vital sign data acquisition control device 100 includes
At least one can be stored in the memory 200 in the form of software or firmware or be solidificated in the database server 10
Software function module in operating system.The processor 400 accesses the storage under the control of the storage control 300
Device 200, for executing the executable module stored in the memory 200, such as the vital sign data acquisition control
Software function module included by device 100 and computer program etc., and then realize the vital sign number in the embodiment of the present invention
According to collection control method.
It should be appreciated that structure shown in FIG. 1 is only to illustrate, the wearable device 10 can have more than shown in Fig. 1
Perhaps less component or with the configuration different from shown in Fig. 1.Wherein, each component shown in FIG. 1 can be by software, hard
Part or a combination thereof is realized.In addition, in the present embodiment, can be integrated in the wearable device 10 multiple for measuring human body
The data sampling sensor of sign data or environmental parameter, as temperature sensor, heart rate sensor, blood pressure sensor, speed pass
Sensor etc., the present embodiment is herein with no restrictions.
Further, as shown in Fig. 2, being the vital sign data collection control method that present pre-ferred embodiments provide
Flow diagram, the vital sign data collection control method are applied to wearable device 10 shown in Fig. 1.Below with reference to
The detailed process and step of the vital sign data collection control method is described in detail in Fig. 2.
Step S11 is adopted based on the data sampling sensor in preset data sampling time point and the wearable device
Whether the current state of the vital sign data assessment user of the user of collection is preset regular motion state, if so, holding
Row step S12, conversely, thening follow the steps S13 and step S14.
Step S12 controls each data sampling sensor and is acquired to the vital sign data of user.
In the present embodiment, assessed by the current state to user with judge whether control data sampling sensor into
When the acquisition of row vital sign data, i.e. arrival preset data sampling time point, need to be sentenced according to the current motion state of user first
Whether disconnected is suitable data collection point, if so, controlling data sampling sensor again carries out data acquisition, to improve data acquisition
Accuracy, the validity of efficiency and data acquisition.
In detail, preset data sampling time point described in step S11 can be interval preset time periodically from
Time point is dissipated, being such as spaced preset time is 1h, then the preset data sampling time point can be at 1 point, 2 points, 3 points ...
Deng；It is also possible to the multiple time points being arranged in advance, such as, 1 thirty, 3 points ... at 1 point.In addition, being sampled based on preset data
Time point works as user according to the vital sign data of the user of the data sampling sensor acquisition in the wearable device
When preceding motion state is assessed, the vital sign data can be sampling period before the data sampling time point or
It is collected in one preset period of time, it is also possible to log-on data acquisition sensing in the latter preset period of time of the data sampling time point
Device is collected, and the present embodiment is herein with no restrictions.
Further, in step S11 when the current motion state to user is assessed, the motion state time can be based on
Sequence prediction model realizes that the motion state time series prediction model refers to the time that the numerical value of same index occurs according to it
Ordered series of numbers made of sequencing arrangement, and future is predicted in conjunction with existing historical data, such as in the present embodiment, movement
State for time sequence prediction model is the time series based on known range of motion state, with the side such as time series models
Method goes to estimate the motion state of subsequent time.Optionally, the time series models can be but not limited to autoregression model (AR
Model), moving average model(MA model) (MA model) or the built-up pattern (arma modeling) of two ways etc..
When actual implementation, preset regularity motion state includes but is not limited to cycle movement described in the present embodiment
State (such as run, walk) and class stationary state, the non-regularity motion state include sudden motion state etc..As
A kind of embodiment, it is assumed that can be based on the heart rate and speed two acquired in the period before the preset data sampling time point
Number it is judged that whether the current state of user is regular motion state, then, can will be when carrying out motion state assessment
Two data of heart rate and speed acquired in a period before the preset data sampling time point input the motion state
In time series prediction model, wherein as the variation of heart rate and speed is positively correlated, and the changing value of heart rate is presetting normal model
It encloses in (such as 120 times/min-180 times/min), then the output result of the motion state time series prediction model is then rule
Rule property motor behavior need to control each data sampling sensor and carry out vital sign data acquisition.It is understood that described wear
The judgment criteria that the life volume data of regularity movement of multiple and different types is preset in equipment is worn, so that the movement shape
State time series prediction model can be realized estimating for accurate user movement state.
Further, the data sampling sensor includes but is not limited to temperature sensor, humidity sensor, blood pressure sensing
Device, heart rate sensor etc., to be used to detect human body physiological parameter, in addition, the data sampling sensor can also include speed
Sensor, pressure sensor etc., with detect user environmental parameter etc. in the environment, be used for aided assessment user current kinetic
State or user's body situation etc., the present embodiment is herein with no restrictions.
Step S13 continues the movement in the default sampling period for including the preset data sampling time point to user
Whether state carries out continuing assessment with the current motion state for judging the user being regular motion state；
Step S14, if within the default sampling period comprising the preset data sampling time point, with there is no rule per family
Rule property motion state does not execute the acquisition operation to vital sign data then.
In the present embodiment, in carrying out vital sign data collection process, the length in the default sampling period can phase
It with (such as equal interval sampling), can also be different, the present embodiment is herein with no restrictions.In addition, in above-mentioned steps S13 and step S14
If the motion state of the user in the default sampling period is constantly in non-regularity motion state (such as sudden random fortune
Move), then temporarily without the acquisition of vital sign data.It is to be noted that the wearable device 10 is needed described
The motion state of user is carried out between preset data sampling time point and next time preset data sampling time point to continue assessment.
According to actual needs, in order to avoid the sudden non-regularity fortune of user's appearance in vital sign data collection process
Dynamic state, causes the accuracy rate of the data of acquisition low, as shown in figure 3, the vital sign data collection control method further includes
Following step S15- step S17, it is specific as follows.
Whether step S15, detection carry out in vital sign data collection process user in each data sampling sensor
There are irregularities motor behaviors, and if it exists, S16 is thened follow the steps, conversely, thening follow the steps S17.
Step S16 controls each data sampling sensor and stops vital sign data acquisition operation, and is based on currently adopting
The sample period is again assessed the current motion state of user to judge whether there is regular motion state；
Step S17, if regular motion state is not present in the motion state of user until current sample period terminates,
Then abandon the vital sign data that each data sampling sensor acquires in current sample period.
In the present embodiment, the non-rule occurred in data acquisition can effectively be avoided by step S15- step S17
Property influence of the motion state to the accuracy of sampled data, while also can avoid causing wearable set due to the acquisition of invalid data
Standby 10 power wastage problem occurs.
Further, when actual implementation, before executing above-mentioned steps S11- step S17, the method also includes such as Fig. 2
Shown step S10, it is specific as follows.
Step S10 judges whether current point in time is preset data sampling time point, if so, executing above-mentioned steps
S11。
The vital sign data collection control method provided in the present embodiment introduces periodic samples machine by step S10
System enables to the wearable device 10 to realize continuing to monitor for 24 hours to the vital sign data of wearer.Wherein, upper
During the actual implementation for stating step S10, it can be the wearable device 10 and once sampled every prefixed time interval
The judgement at time point is also possible to obtain current point in time in real time, and current point in time and preset data sampling time are clicked through
Row compare by both judge whether it is consistent etc. in a manner of realize, the present embodiment is herein with no restrictions.
According to actual needs, in order to further increase effective acquisition rate of the vital sign data in the sampling period, it is ensured that
The Accuracy and high efficiency of data acquisition, as shown in figure 4, the vital sign data collection control method that the present invention provides further includes
Step S18 and step S19, it is specific as follows.
Step S18 judges that each data sampling sensor is including the sampling week of the preset data sampling time point
Whether the vital sign data of interim acquisition meets preset need, if satisfied, thening follow the steps S19.
Step S19 saves collected vital sign data.
Successful acquisition is introduced in vital sign data collection process by step S18 and step S19 in the present embodiment to sentence
Off line system, effectively to ensure the accuracy of data acquisition.In detail, preset need described in step S18 can be according to reality
Situation carries out flexible design.
For example, the preset need, which can be, judges each collected data type of data pick-up in a sampling period
Whether reach preset value, if reaching preset value, determine that data acquire successfully, such as the preset value can be 10,20.
In another example the preset need can be the vital sign number for judging the single type acquired in a sampling period
Whether the vital sign data amount according to amount or whole reaches preset value, if reaching preset value, determines that data acquire successfully etc..
It is understood that whether sampling successfully determines that time point can be in data acquisition, be also possible to
Carry out primary judgement etc. when completing a sampling period, the present embodiment is herein with no restrictions.In addition, if the wearable device 10
The vital sign data acquired in the sampling period is unsatisfactory for preset need, then can continue to carry out based on the motion state to user
Assessment carries out vital sign data acquisition to judge whether there is regular motion state again.
Further, as shown in figure 5, being a kind of vital sign data using wearable device 10 provided in this embodiment
The frame structure schematic diagram of acquisition control device 100, the vital sign data acquisition control device 100 include state estimation module
110, acquisition control module 120, behavioral value module 130, sampled point judgment module 140 and data condition judgment module 150.
The state estimation module 110, for be based on preset data sampling time point, assessment user's current state whether be
Regular motion state；And the state estimation module 110 is also used in user's current state not be regular motion state
When, continue include the preset data sampling time point sampling period in the motion state of user carry out continue assessment with
Judge that the user whether there is regular motion state；If within the sampling period comprising the preset data sampling time point,
With there is no regular motion states per family, then vital sign data acquisition operation is abandoned.
In the present embodiment, the description as described in the state estimation module 110 specifically refers to above-mentioned steps S11, step S13
With the detailed description of step S14, that is, the step S11, step S13 and step S14 can be held by state estimation module 110
Row, thus do not illustrate more herein.
The acquisition control module 120, for controlling each data and adopting when user's current state is regular motion state
Collection sensor is acquired the vital sign data of user, wherein the regularity motion state includes cycle movement shape
State and class stationary state.And the acquisition control module 120 is also used to when there are irregularities motor behavior, controls each institute
It states data sampling sensor and stops vital sign data acquisition operation, and control the state estimation module 110 and be based on currently adopting
The sample period is again assessed the current motion state of user to judge whether there is regular motion state.
In the present embodiment, the description as described in the acquisition control module 120 specifically refers to retouching in detail for above-mentioned steps S12
It states, that is, the step S12 can be executed by the acquisition control module 120, thus does not illustrate more herein.
The behavioral value module 130 is adopted for detecting in each data sampling sensor progress vital sign data
User whether there is irregularities motor behavior during collection；And if until current sample period terminate, the movement shape of user
Regular motion state is not present in state, then abandons the life that each data sampling sensor acquires in current sample period
Sign data.
In the present embodiment, the description as described in the behavioral value module 130 specifically refers to above-mentioned steps S15- step S17
Detailed description, that is, the step S15- step S17 can be executed by the behavioral value module 130, thus do not make herein
More explanations.
The sampled point judgment module 140, for judging whether current point in time is preset data sampling time point, if
Then to control the state estimation module 110 to execute based on preset data sampling time point, assessment user's current state whether be
The operation of irregularities motion state.
In the present embodiment, the description as described in the sampled point judgment module 140 specifically refers to the detailed of above-mentioned steps S10
Description, that is, the step S10 can be executed by the sampled point judgment module 140, thus does not illustrate more herein.
The data mode judgment module 150, for judging each data sampling sensor based on the present count
Whether meet preset need according to the vital sign data acquired in the sampling period of sampling time point；And meeting preset need
When, determine that data are acquired successfully and saved to collected vital sign data.
In the present embodiment, the description as described in the data mode judgment module 150 specifically refers to above-mentioned steps S14 and step
The detailed description of rapid S15, that is, the step S14 and step S15 can be executed by data mode judgment module 150, thus
This does not illustrate more.
In conclusion the embodiment of the present invention provides a kind of vital sign data collection control method and device, wherein pass through
The motion state of user is assessed, and controls whether data sampling sensor carries out data acquisition behaviour according to assessment result
Make, efficient, accurate data acquisition can be carried out based on effective data acquisition opportunity, is provided for user more accurately round-the-clock
Vital sign monitoring data.Meanwhile the present invention can also reduce the power consumption of wearable device 10, and it is small to be adapted to wearable device 10
Volume, long continuation of the journey require.
In several embodiments provided by the embodiment of the present invention, it should be understood that disclosed device and method, it can also
To realize by another way.Device and method embodiment described above is only schematical, for example, in attached drawing
Flow chart and block diagram show that the devices of multiple embodiments according to the present invention, method and computer program product are able to achieve
Architecture, function and operation.In this regard, each box in flowchart or block diagram can represent module, a program
A part of section or code, a part of the module, section or code include that one or more is patrolled for realizing defined
Collect the executable instruction of function.It should also be noted that in some implementations as replacement, function marked in the box
It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually be held substantially in parallel
Row, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram and/or
The combination of each box in flow chart and the box in block diagram and or flow chart, can the function as defined in executing or dynamic
The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, electronic equipment or network equipment etc.) execute all or part of step of each embodiment the method for the present invention
Suddenly.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), deposits at random
The various media that can store program code such as access to memory (RAM, Random Access Memory), magnetic or disk.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
The foregoing is merely alternative embodiments of the invention, are not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of vital sign data collection control method is applied to wearable device, is integrated in the wearable device more
A data sampling sensor for being used to acquire user's vital sign data, which is characterized in that the described method includes:
The life of user based on the data sampling sensor acquisition in preset data sampling time point and the wearable device
Whether the current state of life sign data assessment user is preset regular motion state；
If the current state of user is preset regular motion state, each data sampling sensor is controlled to the life of user
Sign data is acquired.
2. vital sign data collection control method according to claim 1, which is characterized in that the method also includes:
If the current state of user is non-regularity motion state, continue including the pre- of the preset data sampling time point
If carrying out continuing assessment with the current motion state for judging the user whether being rule to the motion state of user in the sampling period
Property motion state；
If within the default sampling period comprising the preset data sampling time point, with there is no regularity movement shapes per family
State does not execute the acquisition operation to vital sign data then.
3. vital sign data collection control method according to claim 1, which is characterized in that the method also includes:
Detection user in data sampling sensor progress vital sign data collection process transports with the presence or absence of non-regularity
Dynamic behavior；
If it exists, then it controls each data sampling sensor and stops vital sign data acquisition operation, and be based on present sample
Period is again assessed the current motion state of user to judge whether there is regular motion state；
If regular motion state is not present in the motion state of user until current sample period terminates, then abandon each described
The vital sign data that data sampling sensor acquires in the preset sampling period.
4. vital sign data collection control method according to claim 1, which is characterized in that the regularity movement shape
State includes one of cycle movement or class stationary state or a variety of.
5. vital sign data collection control method according to claim 1, which is characterized in that the method also includes:
Judge whether current point in time is preset data sampling time point, be based on preset data sampling time point if so, executing,
And the current shape of the vital sign data assessment user of the user of the data sampling sensor acquisition in the wearable device
The step of whether state is preset regular motion state.
6. vital sign data collection control method according to claim 1, which is characterized in that the method also includes:
Judge the life that each data sampling sensor acquires in the sampling period for including the preset data sampling time point
Whether life sign data meets preset need；
If satisfied, then determining that data are acquired successfully and saved to collected vital sign data.
7. a kind of vital sign data acquisition control device is applied to wearable device, is integrated in the wearable device more
It is a for acquiring the data sampling sensor of user's vital sign data, which is characterized in that described device includes:
State estimation module, for acquiring sensing based on the data in preset data sampling time point and the wearable device
Whether the current state of the vital sign data assessment user of the user of device acquisition is preset regular motion state；
When acquisition control module for the current state in user is preset regular motion state, each data acquisition is controlled
Sensor is acquired the vital sign data of user.
8. vital sign data acquisition control device according to claim 7, which is characterized in that the state estimation module
It is also used to when the current state of user is non-regularity motion state, continues including the preset data sampling time point
Whether the motion state of user is carried out continuing assessment with the current motion state for judging the user being preset in sampling period
Regular motion state；And
If within the default sampling period comprising the preset data sampling time point, with there is no regularity movement shapes per family
State does not execute the acquisition operation to vital sign data then.
9. vital sign data acquisition control device according to claim 7, which is characterized in that described device further include:
Behavioral value module, carrying out user in vital sign data collection process in the data sampling sensor for detection is
It is no that there are preset irregularities motor behaviors；And
The acquisition control module is also used to when there are irregularities motor behavior, is controlled each data sampling sensor and is stopped
Only vital sign data acquisition operation, and the state estimation module is controlled based on current sample period again to the current of user
Motion state is assessed to judge whether there is regular motion state；
If regular motion state is not present in the motion state of user until current sample period terminates, then abandon each described
The vital sign data that data sampling sensor acquires in the preset sampling period.
10. vital sign data acquisition control device according to claim 7, which is characterized in that described device further include:
Sampled point judgment module, for judging whether current point in time is preset data sampling time point, if so, described in control
State estimation module is executed is adopted based on the data sampling sensor in preset data sampling time point and the wearable device
Whether the current state of the vital sign data assessment user of the user of collection is preset regular motion state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810768884.3A CN109008993A (en) | 2018-07-13 | 2018-07-13 | A kind of vital sign data collection control method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810768884.3A CN109008993A (en) | 2018-07-13 | 2018-07-13 | A kind of vital sign data collection control method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109008993A true CN109008993A (en) | 2018-12-18 |
Family
ID=64641019
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810768884.3A Pending CN109008993A (en) | 2018-07-13 | 2018-07-13 | A kind of vital sign data collection control method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109008993A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115444375A (en) * | 2022-11-14 | 2022-12-09 | 深圳市心流科技有限公司 | Electrode stretching opportunity determination method of sign detection device and terminal equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101093582A (en) * | 2006-06-19 | 2007-12-26 | 索尼株式会社 | Motion capture apparatus and method, and motion capture program |
| CN101558996A (en) * | 2009-05-15 | 2009-10-21 | 天津大学 | Gait recognition method based on orthogonal projection three-dimensional reconstruction of human motion structure |
| CN101662986A (en) * | 2007-04-20 | 2010-03-03 | 皇家飞利浦电子股份有限公司 | The system and method for assessment motor pattern |
| CN102469957A (en) * | 2009-07-20 | 2012-05-23 | 皇家飞利浦电子股份有限公司 | Method for operating a monitoring system |
| CN104188663A (en) * | 2014-09-11 | 2014-12-10 | 康泰医学系统（秦皇岛）股份有限公司 | Human physiological parameter acquisition effective value self-starting method and system |
| CN104468678A (en) * | 2013-09-25 | 2015-03-25 | 中国移动通信集团公司 | Method and device for transmitting exercise data |
| CN104510475A (en) * | 2014-12-15 | 2015-04-15 | 中国科学院计算技术研究所 | Human body falling-down detection method and system |
| CN104949707A (en) * | 2014-03-24 | 2015-09-30 | 深圳市埃微信息技术有限公司 | Movement monitoring equipment and movement monitoring method based on information push |
| CN105193397A (en) * | 2015-08-24 | 2015-12-30 | 浙江大学 | Human body parameter measurement system with variable sampling frequency |
| CN106389074A (en) * | 2016-01-27 | 2017-02-15 | 北京航空航天大学 | Falling process stability predicting device and method based on plantar pressure sensing |
| CN107224280A (en) * | 2017-07-18 | 2017-10-03 | 上海勤答信息科技有限公司 | One kind motion companion |
-
2018
- 2018-07-13 CN CN201810768884.3A patent/CN109008993A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101093582A (en) * | 2006-06-19 | 2007-12-26 | 索尼株式会社 | Motion capture apparatus and method, and motion capture program |
| CN101662986A (en) * | 2007-04-20 | 2010-03-03 | 皇家飞利浦电子股份有限公司 | The system and method for assessment motor pattern |
| CN101558996A (en) * | 2009-05-15 | 2009-10-21 | 天津大学 | Gait recognition method based on orthogonal projection three-dimensional reconstruction of human motion structure |
| CN102469957A (en) * | 2009-07-20 | 2012-05-23 | 皇家飞利浦电子股份有限公司 | Method for operating a monitoring system |
| CN104468678A (en) * | 2013-09-25 | 2015-03-25 | 中国移动通信集团公司 | Method and device for transmitting exercise data |
| CN104949707A (en) * | 2014-03-24 | 2015-09-30 | 深圳市埃微信息技术有限公司 | Movement monitoring equipment and movement monitoring method based on information push |
| CN104188663A (en) * | 2014-09-11 | 2014-12-10 | 康泰医学系统（秦皇岛）股份有限公司 | Human physiological parameter acquisition effective value self-starting method and system |
| CN104510475A (en) * | 2014-12-15 | 2015-04-15 | 中国科学院计算技术研究所 | Human body falling-down detection method and system |
| CN105193397A (en) * | 2015-08-24 | 2015-12-30 | 浙江大学 | Human body parameter measurement system with variable sampling frequency |
| CN106389074A (en) * | 2016-01-27 | 2017-02-15 | 北京航空航天大学 | Falling process stability predicting device and method based on plantar pressure sensing |
| CN107224280A (en) * | 2017-07-18 | 2017-10-03 | 上海勤答信息科技有限公司 | One kind motion companion |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115444375A (en) * | 2022-11-14 | 2022-12-09 | 深圳市心流科技有限公司 | Electrode stretching opportunity determination method of sign detection device and terminal equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106645978B (en) | The wearing state detection method and detection device of intelligent wearable device | |
| CN110832524B (en) | Storage medium, evaluation requesting method, and computer device | |
| Wang et al. | LDPA: A local data processing architecture in ambient assisted living communications | |
| CN108778111B (en) | Heart rate detection method and device | |
| CN101515199B (en) | Character input device based on eye tracking and P300 electrical potential of the brain electricity | |
| EP2330554A1 (en) | Method and system for generating history of behavior | |
| CN103793042B (en) | A kind of system and method body motion information interaction and shown | |
| CN104490401B (en) | Method for intelligent terminal for automatically recognizing human behaviors based on acceleration data | |
| CN104102749B (en) | Terminal device | |
| CN206026334U (en) | Motion amount detection device and intelligent wearable equipment comprising same | |
| CN104713568A (en) | Gait recognition method and corresponding pedometer | |
| EP2631830A2 (en) | Monitoring accumulated activity | |
| US20130018837A1 (en) | Emotion recognition apparatus and method | |
| CN105844101A (en) | Emotion data processing method and system based smart watch and the smart watch | |
| US10636017B2 (en) | Charge management | |
| CN106139536A (en) | A kind of based reminding method and device | |
| CN105953814A (en) | Step counting method, step counting device and mobile terminal | |
| JP2010146221A (en) | Behavior recording input support system, behavior input support method, and server | |
| CN107393260A (en) | A kind of sitting based reminding method, device and wrist type sitting reminiscences | |
| CN106598253A (en) | Data prediction method and apparatus | |
| JP2010146223A (en) | Behavior extraction system, behavior extraction method, and server | |
| CN103892830A (en) | Emotion detection method and system based on human skin resistance changes | |
| CN105528076A (en) | Terminal alarm control method and device | |
| CN105354407A (en) | Processing method and system for user operation data of intelligent wearable device | |
| CN110151136A (en) | It has ready conditions with reference to heart rate sleep state monitoring method, device, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181218 |
|
| RJ01 | Rejection of invention patent application after publication |