CN107212860A - A kind of physiological signal intelligent monitor system - Google Patents
A kind of physiological signal intelligent monitor system Download PDFInfo
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- CN107212860A CN107212860A CN201710510349.3A CN201710510349A CN107212860A CN 107212860 A CN107212860 A CN 107212860A CN 201710510349 A CN201710510349 A CN 201710510349A CN 107212860 A CN107212860 A CN 107212860A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The invention provides a kind of physiological signal intelligent monitor system, including radio sensor network monitoring module, physiological signal pretreatment module and physiological signal analysis and early warning module；The radio sensor network monitoring module gathers physiological signal in real time, and the physiological signal is transferred to the physiological signal pretreatment module pre-processed, obtained physiologic information is transferred to the physiological signal analysis and early warning module and carries out comprehensive analysis by the physiological signal pretreatment module.Beneficial effects of the present invention are：Realize and a variety of physiological signals for a long time, are continuously monitored, monitoring is convenient flexible.
Description
Technical field
The present invention relates to medical field, and in particular to a kind of physiological signal intelligent monitor system.
Background technology
The physiology signal monitoring system development of wireless sensor technology is very fast, but can only typically monitor fixed physiology
Signal is (such as：The single parameters such as heart rate, pulse), and the network being monitored without formation to physiological signal, it is impossible to human body
Normal physiological condition whether is in make comprehensive descision, provide accurate conclusion；And once change monitoring scheme, then need again
Design is bought, so as to cause the waste of the idle and resource of equipment.Therefore family, hospital, community etc. can not be met no
With the demand for carrying out personalized physiological status monitoring under environment to subject.
The content of the invention
In view of the above-mentioned problems, the present invention provides a kind of physiological signal intelligent monitor system.
The purpose of the present invention is realized using following technical scheme：
It is pre- there is provided a kind of physiological signal intelligent monitor system, including radio sensor network monitoring module, physiological signal
Processing module and physiological signal analysis and early warning module；The radio sensor network monitoring module gathers physiological signal in real time,
And the physiological signal is transferred to the physiological signal pretreatment module pre-processed, the physiological signal pretreatment module
Obtained physiologic information is transferred to the physiological signal analysis and early warning module and carries out comprehensive analysis.
Beneficial effects of the present invention are：Realize and a variety of physiological signals for a long time, are continuously monitored, the convenient spirit of monitoring
It is living.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
The structured flowchart of Fig. 1 present invention；
Fig. 2 is the connection block diagram of physiological signal analysis and early warning module of the present invention.
Reference：
Radio sensor network monitoring module 1, physiological signal pretreatment module 2, physiological signal analysis and early warning module 3, number
Data preprocess unit 10, wireless data transmission unit 20, memory cell 30, physiological signal analytic unit 40.
Embodiment
The invention will be further described with the following Examples.
A kind of physiological signal intelligent monitor system provided referring to Fig. 1, Fig. 2, the present embodiment, including wireless sensor network
Monitoring modular 1, physiological signal pretreatment module 2 and physiological signal analysis and early warning module 3；The radio sensor network monitoring
The collection physiological signal, and the physiological signal is transferred to the physiological signal pretreatment module 2 located in advance in real time of module 1
Obtained physiologic information is transferred to the physiological signal analysis and early warning module 3 and carried out by reason, the physiological signal pretreatment module 2
Comprehensive analysis.
Preferably, the physiological signal pretreatment module 2 includes data pre-processing unit 10 and wireless data transmission unit
20；The physiological signal that the data pre-processing unit 10 is collected to radio sensor network monitoring module 1 is analyzed, filtering
Due to the abnormal physiology signal that sensor error and guardianship movement are produced, and the physiological signal after filtering is passed through into the nothing
Line data transmission unit 20 is sent to the physiological signal analysis and early warning module 3.
Preferably, the physiological signal analysis and early warning module 3 includes memory cell 30, physiological signal analytic unit 40；Institute
Memory cell 30 is stated provided with knowledge base, knowledge is arrived into the storage of the title of the physiological signal of collection, data and temporal information piecemeal
In storehouse；The physiological signal analytic unit 40 is used to analyze single physiological signal, when physiological signal exceedes health normally
When being worth scope, the physiological signal analytic unit 40 sends alarm signal.
The above embodiment of the present invention is realized for a long time, continuously to be monitored to a variety of physiological signals, and monitoring is convenient flexible.
Preferably, described radio sensor network monitoring module 1 includes physiologic signal monitoring node and mobile base station, institute
The mobile base station stated is communicated to connect with physiological signal pretreatment module 2；Prison of the physiologic signal monitoring node random placement in setting
Survey in region.
Preferably, when described radio sensor network monitoring module 1 carries out the positioning of physiologic signal monitoring node, specifically
Perform：
(1) summit in each square subregions domain and is determined into the coordinate of each point distance measurement, root as the point distance measurement of mobile base station
Point distance measurement is ranked up according to actual conditions；
(2) set mobile base station communication radius D, communication radius D set formula as：
In formula, V is the area of monitored area, PgThe probability of g-th of physiologic signal monitoring node failure is represented, ξ is deployment
Physiologic signal monitoring node number；
(3) when initial, mobile base station is located at the corresponding point distance measurement in the monitored area lower left corner, and is moved according to ordering scenario order
Each point distance measurement is moved, when mobile base station is often moved to a point distance measurement, i.e., the physiological signal in temporal persistence, with communication range
Monitoring node carries out RSSI rangings and preserved, and combines physiologic signal monitoring node in two neighboring point distance measurement calculating communication range
Coordinate, if mobile base station is in point distance measurement VB、VCTo physiologic signal monitoring node QACarry out RSSI rangings, point distance measurement VBCoordinate
For (xB,yB), point distance measurement VCCoordinate be (xC,yC), then physiologic signal monitoring node QAPosition coordinates (xA,yA) by combining
Following two formula is calculated：
LAB=[(xA-xB)2+(yA-yB)2]1/2
LAC=[(xA-xC)2+(yA-yC)2]1/2
Wherein, LAB、LACRespectively mobile base station is in point distance measurement VB、VCTo physiologic signal monitoring node QACarry out RSSI rangings
The Euclidean distance of acquisition.
This preferred embodiment is because in the position fixing process for carrying out physiologic signal monitoring node, big portion has been responsible in mobile base station
The calculating divided and communication task, can effectively reduce communication and the computational load of physiologic signal monitoring node, in addition, defining shifting
The communication radius setting formula of dynamic base station, is ensureing that all physiologic signal monitoring nodes can be carried out the premise of RSSI rangings
Down so that the communication radius of mobile base station is minimized, so as to save the energy consumption of physiological signal collection.
Preferably, the mobile base station is moved according to the access path of setting and carries out physiological signal collection, is specifically included：
(1) monitored area is averagely divided into 4 × 4 square subregions domain, by the central point in adjacent four square subregions domain
Stop website during physiological signal collection is carried out as mobile base station, then four stop websites are had in monitored area, will respectively be stopped
It is movement to stay the path setting to be formed that is connected linearly of website according to the distance with mobile base station initial position from the near to the remote
The access path of base station；
(2) for each square subregions domain, the state of the physiologic signal monitoring node in the communication range of mobile base station is calculated
Value, and the maximum physiologic signal monitoring node of state value is therefrom chosen as the cluster head of the square subregion, four clusters are formed altogether
Head, the calculation formula of definition status value is：
In formula,Represent that i-th of physiologic signal monitoring node is in the square subregions domain in the communication range of mobile base station
QiState value,Q is represented respectivelyiCurrent remaining, currently available internal memory, a hop neighbor nodes,For QiJ-th of hop neighbor nodes current remaining,For QiInitial memory, L (Qi, O) and it is QiTo square
The Euclidean distance of stop website corresponding to subregion；
Remaining physiologic signal monitoring node calculates itself Euclidean distance with four cluster heads, and selects Euclidean distance minimum
The corresponding cluster head of value adds cluster；
(3) when the dump energy of cluster head is less than the 50% of primary power, the physiology letter in the communication range of mobile base station
The maximum physiologic signal monitoring node updates cluster head of state value is chosen in number monitoring node；Cluster head collects physiologic signal monitoring in cluster
The physiological signal of node, mobile base station is stopped after being moved to stop website according to the access path of setting, with the stop website institute
The cluster head communication in corresponding four square subregions domain, so as to receive the physiological signal that cluster head has been collected.
This preferred embodiment weight, the physiological signal of physiologic signal monitoring node in cluster is collected by cluster head, will not cause too big
Time delay, and can largely save physiological signal collection energy expenditure；This preferred embodiment also defines cluster head
More new strategy, the renewal time of cluster head can be saved to the full extent, and help to save physiological signal intellectual monitoring system
The overall energy consumption of system.
Preferably, if physiologic signal monitoring node is physiologic signal monitoring section in many hop distances, cluster with corresponding cluster head in cluster
Point selection preferred value is maximum neighbor node as next-hop forward node, and the calculation formula for defining preferred value is：
In formula, QsτRepresent physiologic signal monitoring node QsThe τ cluster in neighbor node,Represent QsτPreferred value,
Q0Represent QsCorresponding cluster head,Represent QsTo Q0Most short hop count distance,Represent QsτTo Q0Most short hop count away from
It is setting apart from comparison function from, H (), whenWhen,WhenWhen,For the data type comparison function of setting, work as Qs,
QsτDuring the physiological signal Type-Inconsistencies of both collections, F (Qs,Qsτ)=0, works as Qs,QsτThe physiological signal type one of both collections
During cause, F (Qs,Qsτ)=1；Represent QsIn the average value of the physiological signal of setting time section collection,Represent QsτSame
The average value of the physiological signal of setting time section collection.
In this preferred embodiment, physiologic signal monitoring node selection preferred value is maximum neighbor node as next in cluster
Forward node is jumped, wherein the most short hop count for having considered neighbor node can be ensured and selected away from discrete data degree of correlation factor
Forward node there is preferably data aggregate rate, reduce communication overhead, and further balanced radio sensor network monitoring mould
The network load of block 1.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than to present invention guarantor
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (6)
1. a kind of physiological signal intelligent monitor system, it is characterized in that, including radio sensor network monitoring module, physiological signal be pre-
Processing module and physiological signal analysis and early warning module；The radio sensor network monitoring module gathers physiological signal in real time,
And the physiological signal is transferred to the physiological signal pretreatment module pre-processed, the physiological signal pretreatment module
Obtained physiologic information is transferred to the physiological signal analysis and early warning module and carries out comprehensive analysis.
2. a kind of physiological signal intelligent monitor system according to claim 1, it is characterized in that, the physiological signal pretreatment
Module includes data pre-processing unit and wireless data transmission unit；The data pre-processing unit is supervised to wireless sensor network
The physiological signal that survey module is collected is analyzed, and is filtered due to the abnormal physiology that sensor error and guardianship movement are produced
Signal, and the physiological signal after filtering is sent to the physiological signal analysis and early warning mould by the wireless data transmission unit
Block.
3. a kind of physiological signal intelligent monitor system according to claim 2, it is characterized in that, the physiological signal analysis is pre-
Alert module includes memory cell, physiological signal analytic unit；The memory cell is provided with knowledge base, by the physiological signal of collection
Title, data and the storage of temporal information piecemeal are into knowledge base；The physiological signal analytic unit is used to believe single physiology
Number analyzed, when physiological signal exceedes healthy range of normal value, the physiological signal analytic unit sends alarm signal.
4. a kind of physiological signal intelligent monitor system according to claim 1, it is characterized in that, described wireless sensor network
Network monitoring modular includes physiologic signal monitoring node and mobile base station, and described mobile base station leads to physiological signal pretreatment module
Letter connection；Physiologic signal monitoring node random placement is in the monitored area of setting.
5. a kind of physiological signal intelligent monitor system according to claim 4, it is characterized in that, the mobile base station is according to setting
Fixed access path moves and carries out physiological signal collection, specifically includes：
(1) monitored area is averagely divided into 4 × 4 square subregions domain, using the central point in adjacent four square subregions domain as
Mobile base station carries out stop website during physiological signal collection, then four stop websites is had in monitored area, by each docking station
The be connected linearly path setting to be formed of the point according to the distance with mobile base station initial position from the near to the remote is mobile base station
Access path；
(2) for each square subregions domain, the state value of the physiologic signal monitoring node in the communication range of mobile base station is calculated, and
The maximum physiologic signal monitoring node of state value is therefrom chosen as the cluster head of the square subregion, four cluster heads are formed altogether, it is fixed
The calculation formula of adopted state value is：
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In formula,Represent that i-th of physiologic signal monitoring node is Q in the square subregions domain in the communication range of mobile base stationi's
State value,Q is represented respectivelyiCurrent remaining, currently available internal memory, a hop neighbor nodes,
For QiJ-th of hop neighbor nodes current remaining,For QiInitial memory, L (Qi, O) and it is QiTo square subregions
The Euclidean distance of stop website corresponding to domain；
Remaining physiologic signal monitoring node calculates itself Euclidean distance with four cluster heads, and selects Euclidean distance minimum value institute
Corresponding cluster head adds cluster；
(3) when the dump energy of cluster head is less than the 50% of primary power, the physiological signal prison in the communication range of mobile base station
Survey in node and choose the maximum physiologic signal monitoring node updates cluster head of state value；Cluster head collects physiologic signal monitoring node in cluster
Physiological signal, mobile base station is stopped after being moved to stop website according to the access path of setting, and corresponding to the stop website
Four square subregions domain cluster head communication, so as to receive the physiological signal that cluster head has been collected.
6. a kind of physiological signal intelligent monitor system according to claim 5, it is characterized in that, if physiologic signal monitoring in cluster
Node is that physiologic signal monitoring node selection preferred value is maximum neighbor node under in many hop distances, cluster with corresponding cluster head
One jumps forward node, and the calculation formula for defining preferred value is：
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In formula, QsτRepresent physiologic signal monitoring node QsThe τ cluster in neighbor node,Represent QsτPreferred value, Q0Represent
QsCorresponding cluster head,Represent QsTo Q0Most short hop count distance,Represent QsτTo Q0Most short hop count distance, H
() is setting apart from comparison function, whenWhen,WhenWhen,F () is the data type comparison function of setting, works as Qs,
QsτDuring the physiological signal Type-Inconsistencies of both collections, F (Qs, Qsτ)=0, works as Qs,QsτThe physiological signal type one of both collections
During cause, F (Qs,Qsτ)=1；Represent QsIn the average value of the physiological signal of setting time section collection,Represent QsτSame
The average value of the physiological signal of setting time section collection.
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