CN103784126B - A kind of blood pressure monitoring systems based on KEIB-Stack protocol stack - Google Patents

Abstract

A kind of blood pressure monitoring systems based on KEIB Stack protocol stack, it relates to technology of Internet of things and Computer Applied Technology field；Blood pressure harvester obtains interface by sensor with the sensing data on ARM chip and is connected, sensing data obtains interface and is connected with central processing unit, central processing unit is connected with ROM memory, wireless communication interface respectively, and wireless communication interface is connected with back-end data processing module；It solve data based on traditional blood pressure custodial care facility transmission and the problem processed, greatly increase real-time and the accuracy of health care, can apply to the fields such as personal health monitoring, personal health early warning, hospital clinical diagnosis.

Description

A kind of blood pressure monitoring systems based on KEIB-Stack protocol stack

Technical field:

The present invention relates to technology of Internet of things and Computer Applied Technology field；It is specifically related to a kind of base Blood pressure monitoring systems in KEIB-Stack protocol stack.

Background technology:

Human blood-pressure is a dynamic physical signs, for obtaining accurate blood pressure measurement knot Fruit also carries out healthy early warning in time, needs to monitor blood pressure data in real time, especially for The special population that blood pressure is not sufficiently stable.When measuring blood pressure, if only measuring once, and at this Measurement directly displays out measurement result after terminating, then obtain the probability of relatively accurate measurements very Low.If presetting certain numerical value more than 1 is this pendulous frequency measured, and by setting Number of times measure, all measurements (are such as averaging by algorithm set in advance after all terminating again The simple algorithms such as value) calculate measurement result, owing to the pendulous frequency of this measuring method is the most pre- First setting, waste the measurement time of the relatively stable gauger of blood pressure, fluctuation of blood pressure is big simultaneously Gauger may need on the basis of preset value, be further added by corresponding pendulous frequency thus Find measurement result more accurately, and the data-handling capacity of blood pressure instrument itself be limited, it is impossible to Carry out the analysis of large-scale data, in place of result treatment there is also imperfection.

KEIB-Stack protocol stack is based on the channel radio of radio communication ultimate principle independent development Letter agreement, it has the features such as little, remote, the bandwidth of distance of energy consumption, especially in re-transmission side of having no progeny There is bigger advantage in face relative to other wireless communication protocol.

QPSO algorithm is the thought introducing quantum theory on the basis of PSO algorithm, solves PSO Algorithm search limited space, the problem being easily trapped into locally optimal solution.QPSO algorithm model is recognized There is for particle the behavior of quantum, and propose quanta particle swarm optimization according to this model.? In vector subspace, the speed of particle and position can not determine simultaneously, can pass through wave function ψ (x → t) describes the state of particle, and obtains particle at sky by solving Schrodinger equation Between certain point occur probability density function.Obtain by the way of Monte-Carlo Simulation subsequently Position equation to particle is:

$X\left(t\right)={P\±}^{\frac{L}{2}\ln \left(\frac{1}{u}\right)}$

$P=\frac{{\mathrm{\φ}}_1*\mathrm{pBest}+{\mathrm{\φ}}_2*\mathrm{gBest}}{{\mathrm{\φ}}_1+{\mathrm{\φ}}_2}$

Wherein φ₁、φ₂, U be between (0,1) produce random number, L is defined as:

L(t+1)=2*β|m best-X(t)|

$\begin{array}{c}\mathrm{mbest}=\underset{i=1}{\overset{M}{\mathrm{\Σ}}}\frac{p_i}{M}\\ =(\underset{i=1}{\overset{M}{\mathrm{\Σ}}}\frac{p_{\mathrm{il}}}{M},\underset{i=1}{\overset{M}{\mathrm{\Σ}}}\frac{p_{\mathrm{il}}}{M},...,\underset{i=1}{\overset{M}{\mathrm{\Σ}}}\frac{p_D}{M})\end{array}$

Wherein β is referred to as shrinkage expansion coefficient, can control convergence of algorithm speed.M is colony The number of particle contained by, D is the dimension of particle, and Pi is the pbest of i-th particle.? After obtain the position equation of particle and be:

$X(t+1)=P\±\mathrm{\β}*|\mathrm{mbest}-X\left(t\right)|*\ln \left(\frac{1}{u}\right)$

In an iterative process, ± it is to be determined by the size of u, when u is more than 0.5, take No. one, other situations take+number.In QPSO algorithm, the state of particle has only to position vector Describe, and in algorithm, only one of which controls parameter beta.

Summary of the invention:

It is an object of the invention to provide a kind of blood pressure monitoring system based on KEIB-Stack protocol stack System, it solves data based on traditional blood pressure custodial care facility transmission and the problem processed, significantly Improve real-time and the accuracy of health care, can apply to personal health monitoring, individual The fields such as people's healthy early warning, hospital clinical diagnosis.

In order to solve the problem existing for background technology, the present invention is to adopt the following technical scheme that It comprises blood pressure harvester 1, ARM chip 2 and back-end data processing module 3；Wherein ARM Chip 2 be by sensing data obtain interface 4, central processing unit 5, ROM memory 6 and Wireless communication interface 7 forms；Blood pressure harvester 1 is by sensor and ARM chip 2 Sensing data obtains interface 4 and connects, and sensing data obtains interface 4 and central processing unit 5 Connecting, central processing unit 5 is connected with ROM memory 6, wireless communication interface 7 respectively, nothing Line communication interface 7 is connected with back-end data processing module 3.

Described blood pressure harvester 1 gathers human blood-pressure data, and ARM chip 2 obtains blood pressure Data message is also transferred to back-end data processing module 3 after carrying out simple process；Wherein centre Reason device 5 is responsible for sending blood pressure acquisition instructions to traditional blood pressure harvester 1, it is judged that abandon collection Data message in abnormal data, and control the data biography to back-end data processing module 3 Defeated；Sensing data obtains interface 4 to be responsible for obtaining blood from traditional blood pressure harvester 1 in real time Pressure data also send central processing unit 5 to；ROM memory 6 is responsible for temporarily storage from sensor The data that data acquisition interface 4 gets；Wireless communication interface 7 is responsible for will be through central processing unit Data after 5 process use Ke ib-Stack protocol transmission to back-end data processing module 3；After Platform data processing module 3 uses the data message that OSPF Algorithm Analysis transmission comes, and gives source Reason result or healthy early warning information.

Present disclosure mainly includes two parts:

One, data communication based on KEIB-Stack protocol stack:

KEIB-Stack protocol stack is a kind of novelty exploitation of wireless communication field, In KEIB-Stack system, bus connection is to connect under field bus to connect under backbone, backbone Bus, system has allowed 15 regions, i.e. has 15 field bus, every field bus or Person's backbone allows to connect up to 15 buses, and every bus at most allows to connect 64 and sets Standby, this depends primarily on power supply supply and equipment power dissipation.Each field bus, backbone or Bus, is required for a transformator and powers, distinguished by isolator between each bus. In the entire system, all of sensor all passes through data wire and is connected with brake, and brake Then control electrical equipment by control power circuit.All devices are all by same bus number According to communication, sensor sends order data, and the brake on appropriate address is carried out corresponding merit Energy.Additionally, whole system can also realize corresponding system by pre-setting control parameter Function, such as group command, logical order, the regulation task dispatching of control.The most all of signal exists It is all to propagate with the form of asynchronous serial transmission (broadcast) in bus, say, that in office When wait, always all of bus apparatus is simultaneously received the information in bus, as long as in bus No longer during transmission information, message can be sent in bus by Independent Decisiveness by bus apparatus. KEIB-Stack cable is made up of a pair twisted-pair feeder, and wherein a twisted-pair feeder transmits for data (red is CE mono-for CE+ black), another twisted-pair feeder provides power supply to electronic device. KEIB-Stack has three kinds of structures: linear, tree-like and star.

The equipment based on KEIB-Stack protocol stack that the present invention relates to supports that this transmission medium makes Data and control signal are transmitted by radio signal.Signal transmitting bandwidth is that 868MHz is (short Wave device), emission maximum energy is 25mW, and bit rate is 16.384kBit/sec. KEIB-Stack RF medium may exit off housing assembly and develops, and it allows unidirectional and two-way Work, feature is low power consuming and small-sized and middle-scale device only needs to retransmit in special circumstances.

Two, blood pressure data analysis model based on the particle swarm optimization algorithm with quantum behavior:

QPSO detailed description of the invention:

It is Jun Sun et al. handle in recent years based on the particle swarm optimization algorithm with quantum behavior The particle swarm optimization algorithm of the improvement that quantum theory is applied to PSO algorithm and proposes, relatively PSO Algorithm is simpler, easily realizes, and solving speed is more excellent.QPSO algorithm not only number of parameters Few, randomness is strong, and can cover all solution spaces, it is ensured that the global convergence of algorithm.Should Implementing of data analysis is carried out with based on the particle swarm optimization algorithm with quantum behavior Journey is as follows:

(1) research and analyse object, determine adaptive value function, carry out plug-in mounting to analyzing object.

(2) population M is set, dimension Dimension, maximum allowable iterations MAXTIER, φ₁, φ₁And β.Initialize the position vector of each particle in population.

(3) circular treatment maximum iteration time is set.

(4) program after using each particle in quantum particle swarm to perform object plug-in mounting. Fitness according to particle operation result evaluation particle:

If(F(xi)<F(pi))then pi=xi

pg=min(pi)

(5) for i=1to population scale M, calculates the value of mbest.

(6) for d=1to population dimension D, calculates P according to (4) formula.

(7) u=rand (0,1), works as u > 0.5, xid=P-β * $|\mathrm{mbest}-X\left(t\right)$ $|*\ln \left(\frac{1}{u}\right)$ When u≤0.5, $\mathrm{xid}=P+\mathrm{\&beta;}*|\mathrm{mbest}-X\left(t\right)|*\ln \left(\frac{1}{u}\right)$ Until searching optimum data or t=MAXTIER.

Pi is the adaptive optimal control value of i-th particle, and pg is the adaptive optimal control value of quantum particle swarm.x= (x1, x2 ..., xn), xi is the position vector of i-th particle, uniquely joins in QPSO algorithm Number β is with iterations linear decrease.

Accompanying drawing illustrates:

Fig. 1 is the structural representation of the present invention.

Detailed description of the invention:

Referring to Fig. 1, this detailed description of the invention adopts the following technical scheme that it comprises blood pressure collection Device 1, ARM chip 2 and back-end data processing module 3；Wherein ARM chip 2 is by passing Sensor data acquisition interface 4, central processing unit 5, ROM memory 6 and wireless communication interface 7 Composition；Blood pressure harvester 1 is obtained with the sensing data on ARM chip 2 by sensor Interface 4 connects, and sensing data obtains interface 4 and is connected with central processing unit 5, and central authorities process Device 5 is connected with ROM memory 6, wireless communication interface 7 respectively, wireless communication interface 7 with Back-end data processing module 3 connects.

Described blood pressure harvester 1 gathers human blood-pressure data, and ARM chip 2 obtains blood pressure Data message is also transferred to back-end data processing module 3 after carrying out simple process；Wherein centre Reason device 5 is responsible for sending blood pressure acquisition instructions to traditional blood pressure harvester 1, it is judged that abandon collection Data message in abnormal data, and control the data biography to back-end data processing module 3 Defeated；Sensing data obtains interface 4 to be responsible for obtaining blood from traditional blood pressure harvester 1 in real time Pressure data also send central processing unit 5 to；ROM memory 6 is responsible for temporarily storage from sensor The data that data acquisition interface 4 gets；Wireless communication interface 7 is responsible for will be through central processing unit Data after 5 process use Keib-Stack protocol transmission to back-end data processing module 3；After Platform data processing module 3 uses the data message that OSPF Algorithm Analysis transmission comes, and gives source Reason result or healthy early warning information.

The principle of this detailed description of the invention is:

One, blood pressure harvester (such as electronic sphygmomanometer etc.) is implanted ARM chip, this chip There is CPU module, be used for sending a signal to blood pressure harvester, control it and gather number According to, and judge whether the data obtained are that abnormal data is (such as the value difference measured with adjacent time Data more than 10 take drop policy)；There is sensor assembly, be used for obtaining traditional blood pressure The data that harvester gathers；There is ROM, for the data that temporarily storage gathers, in being used for The simple analysis of central processor；There is wireless communication module, it is provided that assist based on Keib-Stack The wireless communication interface of view stack, is used for sending data to background process equipment.

Two, after measurement starts, traditional blood pressure harvester is according to the instruction acquisition people of ARM chip Body blood pressure, and the data gathered are passed to ARM chip, ARM chip by sensor interface The data obtained are temporarily stored in ROM module.

Three, ARM chip abandons abnormal data in the data after repetitive measurement, its remainder Use Ke ib-Stack protocol transmission to background process equipment according to by wireless communication module.

Four, background process equipment the data acquisition QPSO algorithm received is carried out data analysis and Process, obtain the optimal pressure value parameter of the continuous print under one group of current state, with system database In value compare analysis, provide the advisory opinion of clinical diagnosis (such as health status, coronary disease Sick tendency etc.).

The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, All within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made, Should be included within the scope of the present invention.

Claims (1)

1. a blood pressure monitoring systems based on KEIB-Stack protocol stack, it is characterised in that:

Blood pressure harvester (1) is obtained with the sensing data on ARM chip (2) by sensor Taking interface (4) to connect, sensing data obtains interface (4) and is connected with central processing unit (5), central authorities Processor (5) is connected with ROM memory (6), wireless communication interface (7) respectively, radio communication Interface (7) is connected with back-end data processing module (3)；Blood pressure harvester (1) gathers human blood-pressure Data, ARM chip (2) is transferred to backstage after obtaining blood pressure data information and carrying out simple process Data processing module (3)；Wherein central processing unit (5) is responsible for sending out to traditional blood pressure harvester (1) Send blood pressure acquisition instructions, it is judged that abandon the abnormal data in the data message of collection, and control number According to the transmission to back-end data processing module (3)；Sensing data obtains interface (4) to be responsible for from biography System blood pressure harvester (1) obtains blood pressure data in real time and sends central processing unit (5) to； ROM memory (6) is responsible for temporarily storage and is obtained, from sensing data, the number that interface (4) gets According to；Wireless communication interface (7) is responsible for use through the data after central processing unit (5) processes Keib-Stack protocol transmission is to back-end data processing module (3)；Back-end data processing module (3) The data acquisition QPSO algorithm received is carried out data analysis and process, obtains one group of current shape Continuous print optimal pressure value parameter under state, compares analysis with the value in system database, Provide the advisory opinion of clinical diagnosis；

ARM chip (2) has wireless communication module, it is provided that based on Keib-Stack protocol stack Wireless communication interface (7), is used for sending data to background processing module (3), ARM chip (2) Central processing unit (5) send a signal to blood pressure harvester (1) by wireless communication interface (7), Control it and gather data；Signal transmitting bandwidth is 868MHz, and emission maximum energy is 25mW, bit rate is 16.384kBit/sec.