CN106650231A - Method and device for processing wireless body area network data - Google Patents
Method and device for processing wireless body area network data Download PDFInfo
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- CN106650231A CN106650231A CN201610991179.0A CN201610991179A CN106650231A CN 106650231 A CN106650231 A CN 106650231A CN 201610991179 A CN201610991179 A CN 201610991179A CN 106650231 A CN106650231 A CN 106650231A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
Abstract
The embodiment of the invention discloses a method for processing wireless body area network data. The method comprises the steps of respectively acquiring a first physiological signal collected by a first body area network sensor and a second physiological signal collected by a second body area network sensor; respectively calculating corresponding first physiological parameter and second physiological parameter according to the collected first physiological signal and second physiological signal; calculating a correlation coefficient between the first physiological parameter and the second physiological parameter; and determining that the collected first physiological signal and second physiological signal are invalid when the correlation coefficient is less than a set correlation coefficient threshold value. In addition, the embodiment of the invention also correspondingly discloses a device for processing the wireless body area network data. By use of the method and the device for processing the wireless body area network data, the monitoring accuracy of the body area network data can be improved.
Description
Technical field
The present invention relates to wireless body area network technical field, more particularly to a kind of method and dress of wireless body area network data processing
Put.
Background technology
Wireless body area network can be described as again wireless body area Sensor Network (Wireless Body Area Sensor Network,
WBASN or BAN) it is that, by carrying out radio communication between wireless senser and monitor, human body health signal is transmitted in collection, so as to
Realize the technology of the monitored for prolonged periods of time to human body physiological parameter and record.
Physiological parameter collecting sensor or transplanting on human body physiological parameter collecting sensor into the human body is collectively forming
One wireless network, these sensor nodes can gather the important physiological signal of body (such as temperature, blood sugar, blood pressure), people
Body activity or action signal and human body place environmental information, these signal transmissions to body surface or external Centroid are carried out
Process.
But in actual applications, a certain item physiological parameter is only acquired by a corresponding sensor, such as blood pressure is passed
Sensor can only measure blood pressure, and the physiological parameter gathered between each sensor is independent of one another, and Centroid is not only receiving biography
Sensor function exception is judged during the data that sensor is returned, this allows for the Monitoring Data exception in some sensor but still has
When data are incoming, Centroid can not in time judge its data exception and it is corrected, so as to cause the data monitored accurate
Really property is reduced.
The content of the invention
It is to solve the relatively low technical problem of wireless body area network Sensor monitoring data accuracy in conventional art based on this,
Spy proposes a kind of method of wireless body area network data processing.
A kind of method of wireless body area network data processing, including：
The first physiological signal of the first body area network sensor collection and the of the collection of the second body area network sensor is obtained respectively
Two physiological signals；
Respectively corresponding first physiological parameter is calculated according to first physiological signal for collecting and the second physiological signal
With the second physiological parameter；
Calculate the degree of correlation coefficient of first physiological parameter and second physiological parameter；
In degree of correlation coefficient threshold of the degree of correlation coefficient less than setting, the first physiology of the collection is judged
Signal and the second physiological signal are invalid.
Optionally, first physiological parameter and the degree of correlation coefficient of second physiological parameter of calculating includes：
Calculate the variance and covariance of first physiological parameter, and the variance of second physiological parameter and association side
Difference；
According to the variance and covariance of first physiological parameter, and the variance and covariance of second physiological parameter
Calculate the degree of correlation coefficient of first physiological parameter and second physiological parameter.
Optionally, methods described also includes：
When first physiological parameter exceedes the scope of setting, judge that the first physiological signal of the collection is invalid, open
The dynamic second body area network sensor gathers second physiological signal.
Optionally, when first physiological parameter exceedes the scope of setting, the first body area network sensor collection is improved
The frequency of first physiological signal.
Optionally, after first physiological parameter and second physiological parameter is obtained, joined according to first physiology
Number and second physiological parameter calculate target physiological parameter, and to user the target physiological parameter is shown.
Additionally, the relatively low technical problem of wireless body area network Sensor monitoring data accuracy in solve conventional art, special
Propose a kind of device of wireless body area network data processing.
A kind of device of wireless body area network data processing, including：
Physiological signal collection module, for obtaining first physiological signal and second of the first body area network sensor collection respectively
Second physiological signal of body area network sensor collection；
Physiological parameter acquisition module, based on respectively according to first physiological signal for collecting and the second physiological signal
Calculate corresponding first physiological parameter and the second physiological parameter；
Degree of correlation coefficients calculation block is related to second physiological parameter for calculating first physiological parameter
Degree coefficient；
Data judge module, in degree of correlation coefficient threshold of the degree of correlation coefficient less than setting, judging
First physiological signal and the second physiological signal of the collection is invalid.
Optionally, degree of correlation coefficients calculation block is additionally operable to：
Calculate the variance and covariance of first physiological parameter, and the variance of second physiological parameter and association side
Difference；
According to the variance and covariance of first physiological parameter, and the variance and covariance of second physiological parameter
Calculate the degree of correlation coefficient of first physiological parameter and second physiological parameter.
Optionally, described device also includes sensor control block, is used for：
When first physiological parameter exceedes the scope of setting, judge that the first physiological signal of the collection is invalid, open
The dynamic second body area network sensor gathers second physiological signal.
Optionally, the sensor control block is additionally operable to：
When first physiological parameter exceedes the scope of setting, the first body area network sensor collection described first is improved
The frequency of physiological signal.
Optionally, described device also includes target physiological parameter display module, is used for：
After first physiological parameter and second physiological parameter is obtained, according to first physiological parameter and described
Second physiological parameter calculates target physiological parameter, and to user the target physiological parameter is shown.
Implement the embodiment of the present invention, will have the advantages that：
By the first physiological signal and the second physiological signal that obtain the collection of two domain of individuals net sensors, and according to the first life
Reason signal and the second physiological signal calculate respectively the first physiological parameter and the second physiological parameter, and the first physiological parameter is calculated afterwards
With the degree of correlation coefficient of the second physiological parameter, the degree of correlation coefficient less than setting degree of correlation coefficient threshold when,
Judge that first physiological signal and the second physiological signal of collection are invalid.So by the degree of correlation system of two physiological parameters of calculating
Number, the data that can be gathered a domain of individuals net sensor are compareed with the data of another body area network sensor collection, from
And avoid after only one of which body area network sensor is acquired and data fault occurs, Centroid cannot carry out failure knowledge
Not, cause the data for finally feeding back to user the situation of mistake occur, reduce the probability of data error, improve body area network number
According to the accuracy of monitoring.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Wherein：
Fig. 1 is a kind of schematic diagram of wireless body area network in one embodiment；
Fig. 2 is a kind of flow chart of the method for wireless body area network data processing in one embodiment；
Fig. 3 is a kind of structure chart of the device of wireless body area network data processing in one embodiment；
Fig. 4 is the hardware structure of the computer system that above-mentioned wireless body area network data processing method is run in one embodiment
Figure.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
One of part as Internet of Things, wireless body area network be widely used in distance medical diagnosis, diseases monitoring and
The aspects such as prevention, family's nurse, and day by day become research and the focus applied.
The wireless senser of wireless body area network is broadly divided into following a few classes according to its distributing position：(1) it is distributed in human body
The sensor of body surface, it is usually wearable, such as cardio current graphy, integrated pulse transducer, body temperature trans, finger ring
Formula heart rate perceptron, pulse frequency detection sensor；(2) sensor being implanted in human body body, such as pacemaker, insulin pump；
(3) sensor (i.e. inhalable sensor node) of human body intimal surface, such as suction-type pill cameras, inhaling-type medicinal are placed in
Ball temperature measuring set；(4) positioned at the sensor of human peripheral's closer distance, such as electroencephalogram scanner.Schematically illustrate in Fig. 1 with
Upper sensor on human body or inside of human body distribution situation.
The wireless senser of wireless body area network can be roughly divided into following several by its monitoring purpose：(1) displacement transducer, uses
To monitor Ink vessel transfusing external diameter, atrium, ventricle size, skeletal muscle, contraction of smooth muscle etc.；(2) velocity sensor, is mainly used in surveying
Amount VPV, urination speed, secretion speed, respiratory air flow speed etc.；(3) (acceleration) sensor is vibrated, is applied to monitoring
Various physiological and pathological sound, such as heart sound, breath sound, blood vessel sound, beating, tremble；(4) force snesor, is applied to detect that flesh is received
Contracting power, snap-in force, bone load forces, viscous force etc., (5) pressure transducer is mainly used in measuring blood pressure, intraocular pressure, intracardiac pressure, cranium
Internal pressure, gastric retention table, intravesical pressure, intrauterine pressure etc..Additionally, force sensor is gone back, and flow sensor, temperature sensor, electricity
Sensor, radiation sensor, optical pickocff etc..
A usual wireless body area network one or more body area network sensors, each body area network sensor conduct comprising more than
One node, by the common gathered data of these nodes, by wireless network personal data collecting and processing unit is collected to, and must
Communicated with external network when wanting.The wireless sense network is more at present using first distributed capture or perception, centralized processing again
Mode of operation.Following three layers can be substantially divided into：Ground floor has the body area network sensor node for detecting function comprising one group
Or equipment, it is fairly simple that these nodes are commonly designed, and is mainly used in gathering human body signal or the node place environment (such as people
Internal portion) situation；The second layer is the personal data terminal that individual wears or family is own, and the data of node collection will be transmitted
So far, and simple analytical integration is carried out.This layer can also be attached by router with external network, generally can be
The equipment of the non-medical field such as special mobile personal server, or mobile phone, computer；Third layer is to include providing various
The external network of the remote server of application service, is generally owned by medical institutions such as hospitals, is responsible for monitoring individual in its scope
Personal data terminal, the information transmitted to them is analyzed, judges, stores, and it is correct in time to remind medical personnel to make
Medical rescue.
In actual applications, a certain item physiological parameter is only acquired by a corresponding sensor, such as blood pressure sensor
Blood pressure can only be measured, the physiological parameter gathered between each sensor is independent of one another, and Centroid is not only receiving sensor
Sensor function exception is judged during the data of return, this allows for the Monitoring Data exception in some sensor but still there are data
When incoming, Centroid can not in time judge its data exception and it is corrected, so as to the data accuracy for causing to monitor
Reduce.
The technical problem relatively low to solve wireless body area network Sensor monitoring data accuracy, spy proposes one kind without wire body
The method of area network data process.The realization of the method can be dependent on computer program, and the computer program can be body area network number
According to the driven management program or virtual device manager that process software.The computer program can run on based on von Neumann body
On the computer system of system, the computer system can be the PC with body area network data processor, notebook electricity
The terminal devices such as brain, panel computer and smart mobile phone.
With reference to the flow chart that Fig. 2 is the wireless body area network data processing method in one embodiment, the method includes following
Step：
Step S102：First physiological signal and the second body area network sensor of the collection of the first body area network sensor are obtained respectively
Second physiological signal of collection.
Step S104：Calculate corresponding first according to first physiological signal for collecting and the second physiological signal respectively
Physiological parameter and the second physiological parameter.
In the present embodiment, by wireless body area network sensor device direct detection to physiological signal be the first physiology letter
Number and the second physiological signal, according to direct detection to the first physiological signal and the quilt that obtains after treatment of the second physiological signal
The value for surveying object is the first physiological parameter and the second physiological parameter, and the physiological signal that for example pulse transducer direct detection is arrived is logical
A series of vibration signals that over-pressed force snesor is detected, then through signal transacting, are carried out to this series of vibration signal
Sampling, filtering etc. analysis, obtain each second beat pulse number of times be corresponding physiological parameter.
The first body area network sensor and the second body area network sensor in the present embodiment can be the sensing of same type
Device, for example, is placed on the pulses measure sensor of wrist portion and the heart rate measurement sensor of finger ring type；First body area network sensor
Can also be that still its measurement object has certain correlation to different sensors with the second body area network sensor, such as blood oxygen is satisfied
With degree sensor and sweat detection sensor, wherein blood sugar concentration can be calculated by measuring blood oxygen saturation, it is also possible to logical
Cross the detection to sugar in sweat to obtain blood sugar concentration.Arrange multiple body area network sensors to survey some physiological parameter
Amount, can be further ensured that the accuracy of measured physiological parameter.
Step S106：Calculate the degree of correlation coefficient of first physiological parameter and second physiological parameter.
Step S108：It is described can with degree of correlation coefficient less than setting degree of correlation coefficient threshold when, judge described
First physiological signal and the second physiological signal of collection is invalid.
As it was previously stated, the first body area network sensor and the second body area network sensor can be the sensors of same type,
Can be the related different sensor of measurement object, can so pass through the phase for calculating the physiological parameter that two sensors are measured
Degree coefficient is closed, and whether judge the degree of correlation coefficient reliable come the physiologic parameter value obtained by judging with the size of threshold value.
In one embodiment, degree of correlation coefficient is the computing formula according to coefficient correlation：
It is calculated, wherein ρXYFor the degree of correlation coefficient, variable X is first physiological parameter, and variable Y is described
Second physiological parameter, Cov (X, Y) is the covariance of variable X and variable Y, and D (X) is the variance of variable X, and D (Y) is the side of variable Y
Difference.Degree of correlation coefficient ρXYSpan between [- 1,1], and variable X and variable Y degree of correlation it is higher when, related journey
Degree coefficient ρXYAbsolute value it is bigger；When variable X and variable Y are proportionate, degree of correlation coefficient ρXYBe on the occasion of；Variable X and variable
When Y is in negative correlation, degree of correlation coefficient ρXYFor negative value.
In one embodiment, calculated degree of correlation coefficient value less than setting degree of correlation coefficient threshold
When, judge that first physiological parameter and the second physiological parameter of measurement is invalid.Here the degree of correlation coefficient threshold for setting can be
One fixed value, for example, set degree of correlation coefficient threshold as 0.8, it is assumed that is obtained according to the pulse transducer measurement at wrist
The calculated degree of correlation coefficient of heart rate value that obtains of heart rate value and finger ring type cardiotach ometer measurement be 0.5, less than 0.8, i.e.,
Judge that the value of pulse transducer and finger ring type cardiotach ometer this measurement is invalid, data acquisition and calculating are re-started, to improve life
The accuracy of reason parameter.
In another embodiment, calculated degree of correlation coefficient value exceed setting degree of correlation coefficient threshold
During value scope, judge that first physiological parameter and the second physiological parameter of measurement is invalid.Here the degree of correlation coefficient threshold for setting
Scope can be an interval, and the setting in the interval can be adjusted according to the value of historgraphic data recording, rationally arrange.Example
Such as, degree of correlation coefficient threshold scope is set as interval [- 1, -0.8] and [0.8,1], it is assumed that sense according to the pulse at wrist
The calculated degree of correlation coefficient of heart rate value that the heart rate value that device measurement is obtained is obtained with finger ring type cardiotach ometer measurement is 0.5,
Outside set degree of correlation coefficient threshold scope, that is, think that its degree of correlation is relatively low, so as to judge pulse transducer and
Finger ring type cardiotach ometer this measurement value it is invalid, data acquisition and calculating are re-started, to improve physiological parameter measurements
Accuracy.
In one embodiment, the first physiological parameter and the second physiological parameter are different types of physiological parameter, but the two
Between have certain contact.For example, the first body area network sensor is sublingual blood-sugar detection sensor, and it measures first for obtaining
Physiological parameter is blood glucose value, for example 75mg/dL, the second body area network sensor be blood pressure sensor, its second physiology for detecting
Parameter is pressure value 110mmHg/75mmHg.The degree of correlation coefficient of the two is calculated for 0.7 according to degree of correlation, it is assumed that institute
, as 0.6, now calculated degree of correlation coefficient is higher than the degree of correlation coefficient for setting for the degree of correlation coefficient threshold for setting
Threshold value, now testing result is rational.And exception occurs in the testing result that ought wherein have a value, for example blood glucose value is
130mg/dL, pressure value now is 110mmHg/75mmHg, and calculated degree of correlation coefficient is 0.4, less than set
Degree of correlation coefficient threshold, that is, judge the data invalid of this time collection, re-start collection, tied with improving physiological parameter measurement
The accuracy of fruit.
In one embodiment, the first body area network sensor and the second body area network sensor for same type sensor,
It places position can be with identical, it is also possible to different, when only one of which body area network sensor is operated, if the first measured life
Reason parameter exceedes the scope of setting, judges that the first physiological signal of the collection is invalid, starts the second body area network sensor
Gather second physiological signal.
For example, the normal cardiac rate monitoring range for setting as 70～90 beats/min, what the pulse transducer measurement at wrist was obtained
110 beats/min of heart rate value, beyond setting normal cardiac rate monitoring range, now fail the physiologic parameter value for actual value also
When being the error result obtained due to instrument failure, start the second body area network sensor, by taking finger ring type cardiotach ometer as an example, if should
The result that finger ring type cardiotach ometer is subsequently measured is within normal cardiac rate monitoring range, then it is considered that the arteries and veins at aforementioned wrist
110 beats/min of the heart rate value that sensor measurement of fighting is obtained is wrong data, is not counted in statistics；If the finger ring type cardiotach ometer is follow-up
The heart rate value that pulse transducer measurement at the result of measurement and aforementioned wrist is obtained is close, such as 105 beats/min, equally exceeds
The normal cardiac rate monitoring range of setting, then now can determine that the first physiological parameter that the first body area network sensor is measured is real
Actual value, needs to carry out warning reminding.Physiological signal is carried out by setting using the first body area network sensor in the normal state to adopt
Collection, when abnormal physiological parameter is obtained, starting the second body area network sensor carries out physiological signal collection, and the two is measured
Data are compareed, and while data accuracy is ensured, can reduce the energy consumption of body area network equipment, improve the use longevity of equipment
Life.
In one embodiment, when only one of which body area network sensor is operated, if the first measured physiological parameter
More than the scope of setting, the frequency that the first body area network sensor gathers the first physiological signal is improved.For example in a domain of individuals net,
Pulse transducer at only one of which wrist can be used for measure heart rate, the normal cardiac rate monitoring range for setting as 70～90 times/
Point, certain heart rate detection result once is 110 beats/min, has exceeded the normal cardiac rate monitoring range of setting, it is assumed that sampling before
Frequency be 10 beats/min, then the data for detecting exceed normal rhythm of the heart scope after by sample frequency improve to 20 times/
Point.
After the sample frequency for improving pulse transducer, if afterwards the multiple measurement results in a period of time still exceed
Normal rhythm of the heart scope, such as continues 5 minutes results and is both greater than 90 beats/min, then it is considered that the measurement of the pulse transducer
As a result it is rational, needs to make alarm；If multiple measurement results afterwards are returned within normal cardiac rate monitoring range,
Then think that the data beyond normal cardiac rate monitoring range for measuring before are wrong data, do not include scope of statistics；If afterwards
It is larger that measurement result in a period of time deviates normal range (NR), it may be possible to because instrument failure causes, and such as persistently measures within 10 minutes
Result be below 30 beats/min, when not finding great abnormal conditions with reference to other body area network Sensor monitoring results, then judge
This data is unreasonable, sends sensor fault report.By in monitoring range of the data for measuring beyond setting, improving body domain
The sample frequency of net sensor, can investigate the abnormal conditions such as error in data, sensor device failure, pass so as to improve body area network
The reliability of sensor.
In one embodiment, after first physiological parameter and second physiological parameter is obtained, according to described the
One physiological parameter and second physiological parameter calculate target physiological parameter, and to user the target physiological parameter is shown.Wherein,
Target physiological parameter is that the processing procedure such as integration, analysis according to the first physiological parameter and the second physiological parameter through data is obtained
The physiological parameter for arriving.For example, the pulse transducer monitoring at wrist obtains rate curve of uniting as one, and electrocardio scanner is in monitoring process
In obtain another heart rate curve, monitoring result is sent to Centroid, center by pulse transducer and electrocardio scanner respectively
Node is processed this two groups of data, for example, calculate the mean value of two curves as target physiological parameter, and this is processed
As a result shown at interface.By the way that two groups of data are carried out with integration process, reduce random error, so as to improve measurement result
Accuracy.
Additionally, the technical problem relatively low to solve wireless body area network Sensor monitoring data accuracy, in one embodiment
In, it is also proposed that a kind of device of wireless body area network data processing, as shown in figure 3, the dress of above-mentioned wireless body area network data processing
Put including physiological signal collection module 102, physiological parameter acquisition module 104, degree of correlation coefficients calculation block 106, data are sentenced
Disconnected module 108, wherein：
Physiological signal collection module 102, for obtain respectively the first body area network sensor collection the first physiological signal and
Second physiological signal of the second body area network sensor collection；
Physiological parameter acquisition module 104, for respectively according to first physiological signal for collecting and the second physiology letter
Number calculate corresponding first physiological parameter and the second physiological parameter；
Degree of correlation coefficients calculation block 106, for calculating first physiological parameter and second physiological parameter
Degree of correlation coefficient；
Data judge module 108, in degree of correlation coefficient threshold of the degree of correlation coefficient less than setting, sentencing
First physiological signal and the second physiological signal of the fixed collection is invalid.
Optionally, the degree of correlation coefficients calculation block 106 is additionally operable to：
Calculate the variance and covariance of first physiological parameter, and the variance of second physiological parameter and association side
Difference；
According to the variance and covariance of first physiological parameter, and the variance and covariance of second physiological parameter
Calculate the degree of correlation coefficient of first physiological parameter and second physiological parameter.
Optionally, described device also includes sensor control block 110, is used for：
When first physiological parameter exceedes the scope of setting, judge that the first physiological signal of the collection is invalid, open
The dynamic second body area network sensor gathers second physiological signal.
Optionally, the sensor control block 110 is additionally operable to：
When first physiological parameter exceedes the scope of setting, the first body area network sensor collection described first is improved
The frequency of physiological signal.
Optionally, described device also includes target physiological parameter display module 112, is used for：
After first physiological parameter and second physiological parameter is obtained, according to first physiological parameter and described
Second physiological parameter calculates target physiological parameter, and to user the target physiological parameter is shown.
Implement the embodiment of the present invention, will have the advantages that：
By the first physiological signal and the second physiological signal that obtain the collection of two domain of individuals net sensors, and according to the first life
Reason signal and the second physiological signal calculate respectively the first physiological parameter and the second physiological parameter, and the first physiological parameter is calculated afterwards
With the degree of correlation coefficient of the second physiological parameter, the degree of correlation coefficient less than setting degree of correlation coefficient threshold when,
Judge that first physiological signal and the second physiological signal of collection are invalid, re-start collection.So by calculating two physiology ginsengs
Several degree of correlation coefficients, the number that the data that can be gathered a domain of individuals net sensor are gathered with another body area network sensor
According to being compareed, so as to avoid after only one of which body area network sensor is acquired and data fault occurs, Centroid without
Method carries out Fault Identification, causes the data for finally feeding back to user the situation of mistake occur, reduces the probability of data error, carries
The high accuracy of body area network data monitoring.
In one embodiment, as shown in figure 4, Fig. 4 illustrates a kind of side of the above-mentioned wireless body area network data processing of operation
The terminal 10 of the computer system based on von Neumann system of method.The computer system can be smart mobile phone, panel computer,
The terminal devices such as palm PC, notebook computer or PC.Specifically, it may include the outside connected by system bus is defeated
Incoming interface 1001, processor 1002, memory 1003 and output interface 1004.Wherein, outer input interface 1001 optionally may be used
At least include network interface 10012.Memory 1003 may include external memory 10032 (such as hard disk, CD or floppy disk etc.) and
Built-in storage 10034.Output interface 1004 can at least include the grade equipment of display screen 10042.
Specifically, above-mentioned processor 1002 is additionally operable to perform following steps：
The first physiological signal of the first body area network sensor collection and the of the collection of the second body area network sensor is obtained respectively
Two physiological signals；
Respectively corresponding first physiological parameter is calculated according to first physiological signal for collecting and the second physiological signal
With the second physiological parameter；
Calculate the degree of correlation coefficient of first physiological parameter and second physiological parameter；
In degree of correlation coefficient threshold of the degree of correlation coefficient less than setting, the first physiology of the collection is judged
Signal and the second physiological signal are invalid.
Optionally, first physiological parameter and the degree of correlation coefficient of second physiological parameter of calculating includes：
Calculate the variance and covariance of first physiological parameter, and the variance of second physiological parameter and association side
Difference；
According to the variance and covariance of first physiological parameter, and the variance and covariance of second physiological parameter
Calculate the degree of correlation coefficient of first physiological parameter and second physiological parameter.
Optionally, methods described also includes：
When first physiological parameter exceedes the scope of setting, judge that the first physiological signal of the collection is invalid, open
The dynamic second body area network sensor gathers second physiological signal.
Optionally, when first physiological parameter exceedes the scope of setting, the first body area network sensor collection is improved
The frequency of first physiological signal.
Optionally, after first physiological parameter and second physiological parameter is obtained, joined according to first physiology
Number and second physiological parameter calculate target physiological parameter, and to user the target physiological parameter is shown.
In the present embodiment, the operation of this method is based on computer program, and the program file of the computer program is stored in
In the aforementioned external memory 10032 based on the computer system 10 of von Neumann system, built-in storage is operationally loaded into
In 10034, then it is compiled as being transferred to be performed in processor 1002 after machine code, so that being based on von Neumann system
Computer system 10 in form physiological signal collection module 102 in logic, physiological parameter acquisition module 104, degree of correlation
Coefficients calculation block 106, data judge module 108, sensor control block 110, target physiological parameter display module 112.And
In the method implementation procedure of wireless body area network data processing, the parameter of input is received by outer input interface 1001, and
It is transferred to be cached in memory 1003, is then input to be processed in processor 1002, the result data of process or is cached in
Subsequently processed in memory 1003, or be passed to output interface 1004 and exported.
Above disclosed is only present pre-ferred embodiments, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (10)
1. a kind of method of wireless body area network data processing, it is characterised in that methods described includes：
The first physiological signal of the first body area network sensor collection and the second life of the second body area network sensor collection are obtained respectively
Reason signal；
Respectively corresponding first physiological parameter and the are calculated according to first physiological signal for collecting and the second physiological signal
Two physiological parameters；
Calculate the degree of correlation coefficient of first physiological parameter and second physiological parameter；
In degree of correlation coefficient threshold of the degree of correlation coefficient less than setting, the first physiological signal of the collection is judged
It is invalid with the second physiological signal.
2. the method for wireless body area network data processing as claimed in claim 1, it is characterised in that the calculating first life
The degree of correlation coefficient of reason parameter and second physiological parameter includes：
Calculate the variance and covariance of first physiological parameter, and the variance and covariance of second physiological parameter；
Calculated according to the variance and covariance of first physiological parameter, and the variance and covariance of second physiological parameter
The degree of correlation coefficient of first physiological parameter and second physiological parameter.
3. the method for wireless body area network data processing as claimed in claim 1, it is characterised in that methods described also includes：
When first physiological parameter exceedes the scope of setting, judge that the first physiological signal of the collection is invalid, start institute
State the second body area network sensor and gather second physiological signal.
4. the method for wireless body area network data processing as claimed in claim 1, it is characterised in that first physiological parameter surpasses
When crossing the scope of setting, the frequency that the first body area network sensor gathers first physiological signal is improved.
5. the method for wireless body area network data processing as claimed in claim 1, it is characterised in that obtaining first physiology
After parameter and second physiological parameter, desired physiological ginseng is calculated according to first physiological parameter and second physiological parameter
Number, to user the target physiological parameter is shown.
6. a kind of device of wireless body area network data processing, it is characterised in that described device includes：
Physiological signal collection module, for obtaining the first physiological signal and the second body domain of the collection of the first body area network sensor respectively
Second physiological signal of net sensor collection；
Physiological parameter acquisition module, for right according to first physiological signal for collecting and the calculating of the second physiological signal respectively
The first physiological parameter answered and the second physiological parameter；
Degree of correlation coefficients calculation block, for calculating the degree of correlation of first physiological parameter and second physiological parameter
Coefficient；
Data judge module, in degree of correlation coefficient threshold of the degree of correlation coefficient less than setting, judging described
First physiological signal and the second physiological signal of collection is invalid.
7. the device of wireless body area network data processing as claimed in claim 6, it is characterised in that the degree of correlation coefficient meter
Calculate module to be additionally operable to：
Calculate the variance and covariance of first physiological parameter, and the variance and covariance of second physiological parameter；
Calculated according to the variance and covariance of first physiological parameter, and the variance and covariance of second physiological parameter
The degree of correlation coefficient of first physiological parameter and second physiological parameter.
8. the device of wireless body area network data processing as claimed in claim 6, it is characterised in that described device also includes sensing
Device control module, is used for：
When first physiological parameter exceedes the scope of setting, judge that the first physiological signal of the collection is invalid, start institute
State the second body area network sensor and gather second physiological signal.
9. the device of wireless body area network data processing as claimed in claim 6, it is characterised in that the sensor control block
It is additionally operable to：
When first physiological parameter exceedes the scope of setting, improve the first body area network sensor and gather first physiology
The frequency of signal.
10. the device of wireless body area network data processing as claimed in claim 6, it is characterised in that described device also includes mesh
Mark physiological parameter display module, is used for：
After first physiological parameter and second physiological parameter is obtained, according to first physiological parameter and described second
Physiological parameter calculates target physiological parameter, and to user the target physiological parameter is shown.
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