CN104287718A - Smart health monitoring method, device and system - Google Patents
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- 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
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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Abstract
The invention discloses a smart health monitoring method, a smart health monitoring device and a smart health monitoring system. The smart health monitoring method includes steps: S10, collecting and storing time series and/ or space series of personal health template data; S20, collecting time series and/ or space series of current personal health data; S30, performing comparison algorithm operation on the time series and/ or the space series of the current personal health data and the time series and/ or the space series of the personal health template data. The smart health monitoring device and the smart health monitoring system are corresponding to the smart health monitoring method. The smart health monitoring method, the smart health monitoring device and the smart health monitoring system firstly achieve dynamic comparison of the time series and/ or the space series of the personal health data and improve accuracy of an analysis result through collection, comparison and analysis on the time series and/ or the space series of the personal health data of monitoring objects at different time, can visually, clearly and fully reflect changes of health states of the monitoring objects, and can be used in various health monitoring systems.
Description
Technical field
The present invention relates to intelligent health monitoring field, particularly relate to a kind of intelligent health method for supervising, the invention still further relates to a kind of intelligent health supervising device and system.
Background technology
Health supervision is the key technology lowering sudden healthy emergency risk, is nowadays used widely.For cardiac monitoring, in the face of the whole world 1,000,000,000 cardiacs and more high-risk group at present, traditional bedside monitoring cannot satisfy the demands.Personal health monitoring technology in the ascendant, can monitor the health status of guardianship at any time, everywhere, servo-actuatedly, and do not affect daily life and the work of guardianship, to many people still can effectively reduce healthy emergency risk and improve quality of the life outside hospital.
In prior art, health supervision technology is only carry out Real-Time Monitoring to guardianship real time health data (as heart rate data, ECG data, ultrasound image data etc.), or machinery the normal data of the real time health data of guardianship and setting is compared, and draw healthy evaluation result.Due to the difference of the situations such as everyone body constitution and health status, the mode of this mechanical type collection and static comparison often can not the health status of correct response guardianship, even easily occurs erroneous judgement, makes troubles to guardianship; In addition, existing health supervision technology intuitively, clearly can not reflect the change of the health status of guardianship.
Summary of the invention
In order to solve the problems of the technologies described above, the object of this invention is to provide the operation of a kind of dynamic alignment algorithm, the intelligent control method of correct, directly perceived and clear reflection guardianship health status.
In order to solve the problems of the technologies described above, another object of the present invention is to provide the operation of a kind of dynamic alignment algorithm, the intelligent monitoring and controlling device of correct, directly perceived and clear reflection guardianship health status.
In order to solve the problems of the technologies described above, the 3rd object of the present invention is to provide the operation of a kind of dynamic alignment algorithm, the intelligent monitor system of correct, directly perceived and clear reflection guardianship health status.
The technical solution adopted in the present invention is:
A kind of intelligent health method for supervising, it comprises step: S10, gathers and stores time series and/or the spatial sequence of personal health template data; S20, gathers time series and/or the spatial sequence of personal health current data; S30, algorithm operating of the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence being compared, exports comparison result.
Preferably, described step S10 also comprises sub-step: S11, gathers and stores time series and/or the spatial sequence of organizing individual health data more; S12, is set as time series and/or the spatial sequence of personal health template data by the time series of any one group of individual health data and/or spatial sequence.
Preferably, the time series of described personal health current data and/or spatial sequence are time series and/or the spatial sequence of the individual health data of any instant collection or storage.
Preferably, described step S30 also comprises sub-step: S31, and algorithm operating of the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence being compared, exports comparison result to Surveillance center; Or S32, the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence are outputted to Surveillance center and to compare algorithm operating; Or S33, the time series of personal health current data and/or spatial sequence are outputted to Surveillance center, to compare algorithm operating with the time series of personal health template data and/or spatial sequence that are stored in Surveillance center.
Preferably, the method also comprises step: S40, setting personal health early warning classification, judges and generate early warning information to export according to comparison result analysis.
Preferably, described data are ECG detecting data, X-ray imaged detected data, infrared or terahertz imaging detection data, NMR (Nuclear Magnetic Resonance)-imaging detection data, ultra sonic imaging detection data or biochemistry detection data set.
A kind of intelligent health supervising device, it comprises: acquisition module, for gathering time series and/or the spatial sequence of individual health data; Memory module, for storing time series and/or the spatial sequence of individual health data; Processing module, is connected with acquisition module and memory module respectively, for the treatment of time series and/or the spatial sequence of individual health data; Comparing module, is connected with processing module, for comparing algorithm operating export comparison result to the time series of two or more sets individual health data and/or spatial sequence.
Preferably, described acquisition module is ECG detecting sensor, X-ray image checking sensor, infrared or terahertz imaging detecting sensor, NMR (Nuclear Magnetic Resonance)-imaging detecting sensor, ultra sonic imaging detecting sensor or biochemistry detection sensor.
Preferably, it also comprises display module, control module and communication module, and described display module, control module are all connected with processing module with communication module.
A kind of intelligent health monitoring system, it comprises intelligent health supervising device and Surveillance center, and described intelligent health supervising device is connected with Surveillance center by wired or wireless communication mode.
The invention has the beneficial effects as follows:
A kind of intelligent health method for supervising of the present invention is first by the collection to the time series of the individual health data of guardianship different time and/or spatial sequence, comparison and analysis, realize the time series of individual health data and/or the dynamic comparison of spatial sequence, improve the motility of monitoring; Secondly, because template data of the present invention dynamically can set according to different guardianship or different time, the referential of comparing is stronger, thus improves precision of analysis; Again, the present invention, can the change of health status of directly perceived, clear, comprehensive reflection guardianship by operating the alignment algorithm of guardianship different time some groups of data.
In addition, the present invention is by arranging Surveillance center, and the networking of the time series and/or spatial sequence that realize individual health data is shared, and makes associated terminal can know the health status of guardianship in time; By setting personal health early warning classification, realize the accurate early warning to personal health state.
The present invention can be applicable to various health monitoring system.
Another beneficial effect of the present invention is:
A kind of intelligent health supervising device of the present invention is first by the collection to the time series of the individual health data of guardianship different time and/or spatial sequence, comparison and analysis, realize the time series of individual health data and/or the dynamic comparison of spatial sequence, improve the motility of monitoring; Secondly, because template data of the present invention dynamically can set according to different guardianship or different time, the referential of comparing is stronger, thus improves precision of analysis; Again, the present invention, can the change of health status of directly perceived, clear, comprehensive reflection guardianship by operating the alignment algorithm of guardianship different time some groups of data.
In addition, user is facilitated directly to observe by arranging display module; User is facilitated directly to control by arranging control module.
The present invention can be applicable to various health monitoring system.
3rd beneficial effect of the present invention is:
A kind of intelligent health monitoring system of the present invention is first by the collection to the time series of the individual health data of guardianship different time and/or spatial sequence, comparison and analysis, realize the time series of individual health data and/or the dynamic comparison of spatial sequence, improve the motility of monitoring; Secondly, because template data of the present invention dynamically can set according to different guardianship or different time, the referential of comparing is stronger, thus improves precision of analysis; Again, the present invention, can the change of health status of directly perceived, clear, comprehensive reflection guardianship by operating the alignment algorithm of guardianship different time some groups of data.
In addition, the present invention is by arranging Surveillance center, and the networking of the time series and/or spatial sequence that realize individual health data is shared, and makes associated terminal can know the health status of guardianship in time.
The present invention can be applicable to various health monitoring system.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described further:
Fig. 1 is the method flow diagram of a kind of intelligent health method for supervising of the present invention;
Fig. 2 is the system architecture diagram of a kind of intelligent health monitoring system of the present invention;
Fig. 3 is the electrocardiogram comparison chart of an embodiment of the present invention;
Fig. 4 is the schematic diagram of the upper and lower comparison of an embodiment of the present invention electrocardiogram;
Fig. 5 is the schematic diagram of an embodiment of the present invention electrocardiogram superposition comparison.
Detailed description of the invention
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.
As shown in Figure 1, a kind of intelligent health method for supervising, it comprises step:
S10, gathers and stores time series and/or the spatial sequence of personal health template data;
S20, gathers time series and/or the spatial sequence of personal health current data;
S30, algorithm operating of the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence being compared, exports comparison result.
Wherein, according to the difference of monitoring project, the individual health data of collection is different.As ECG detecting project can gather the time series chart of ECG detecting, ultra sonic imaging test item can gather the spatial sequence figure of ultra sonic imaging, by that analogy.Wherein, alignment algorithm can adopt different alignment algorithms according to concrete monitoring project, the amplitude that such as time series chart can gather the corresponding time point of two width images is compared, and the absolute value that the amplitude calculating multiple corresponding time point is subtracted each other or squared differences, export comparison result.
Preferably, described step S10 also comprises sub-step: S11, gathers and stores time series and/or the spatial sequence of organizing individual health data more; S12, is set as time series and/or the spatial sequence of personal health template data by the time series of any one group of individual health data and/or spatial sequence.
Wherein, the time series and/or the spatial sequence that gather many group individual health data can provide the alignment algorithm of multidimensional health data to operate to guardianship, namely can to compare algorithm operating to the time series of the individual health data of guardianship different time, different location, different conditions, disparity items and/or spatial sequence, make comparison more comprehensively and intuitively, be conducive to the follow-up accurate analysis to guardianship health status and process.
Preferably, the time series of described personal health current data and/or spatial sequence are time series and/or the spatial sequence of the individual health data of any instant collection or storage.Wherein, collection can be according to specific needs at any time, everywhere, servo-actuatedly carry out.Obvious, the time series of the individual health data of any instant collection and/or spatial sequence also can be stored and be set to personal health template data.
Preferably, described step S30 also comprises sub-step: S31, the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence to be compared algorithm operating, export comparison result to Surveillance center, by arranging Surveillance center, the networking of the time series and/or spatial sequence that realize individual health data is shared, and makes associated terminal can know the health status of guardianship in time.Obvious, Surveillance center can be arranged on community health center, also can be arranged on family; The Surveillance center that can be made up of multiple server also can be PC or mobile phone etc.Step S30 also can comprise sub-step S32, the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence is outputted to Surveillance center and to compare algorithm operating.Step S30 can also comprise sub-step S33, and the time series of personal health current data and/or spatial sequence are outputted to Surveillance center, to compare algorithm operating with the time series of personal health template data and/or spatial sequence that are stored in Surveillance center.The comparison work of the time series of personal health current data and/or spatial sequence and template data is put into Surveillance center carry out, the calculating pressure of health monitoring device can be reduced.
Preferably, the method also comprises step: S40, setting personal health early warning classification, judges and generate early warning information to export according to comparison result analysis.By setting personal health early warning classification, realize the accurate early warning to personal health state.Wherein, personal health early warning classification can set as the case may be.Such as, the time series of setting personal health current data and/or the comparison difference of spatial sequence and personal health template data exceed when setting numerical value, send corresponding grade early warning.Also by connecting Surveillance center, pass on early warning information, to notify the unit that is correlated with or individual.
Preferably, described data are ECG detecting data, X-ray imaged detected data, infrared or terahertz imaging detection data, NMR (Nuclear Magnetic Resonance)-imaging detection data, ultra sonic imaging detection data or biochemistry detection data set.Obvious, health monitoring data are not limited in above-mentioned data, also can be other health datas.
As shown in Figure 3, existing for the ECG detecting to guardianship first, describe the steps flow chart of the inventive method in detail.Wherein, Electrocardiographic alignment algorithm can be the comparison up and down (as shown in Figure 4) of figure, also can be the superposition comparison (as shown in Figure 5) of figure.
First electrocardiogram is the electrocardiographic recorder of first in the very first time, and the health status of this very first time guardianship first is good, is stored by the first electrocardiogram and is set to the personal health template data of first.Second electrocardiogram is the electrocardiographic recorder (time series of personal health current data and/or spatial sequence) of first in the second time, weak during this second time first activity, second electrocardiogram and the first electrocardiogram alignment algorithm are operated, analyze and find that difference is larger, exceed the standard value of setting, then start corresponding grade early warning, and grade early warning information by being wirelessly transmitted to Surveillance center.
A kind of intelligent health method for supervising of the present invention is first by the collection to the time series of the individual health data of guardianship different time and/or spatial sequence, comparison and analysis, realize the time series of individual health data and/or the dynamic comparison of spatial sequence, improve the motility of monitoring; Secondly, because template data of the present invention dynamically can set according to different guardianship or different time, the referential of comparing is stronger, thus improves precision of analysis; Again, the present invention, can the change of health status of directly perceived, clear, comprehensive reflection guardianship by operating the alignment algorithm of guardianship different time some groups of data.
The present invention can be applicable to various health monitoring system.
As shown in Figure 2, a kind of intelligent health supervising device, it comprises: acquisition module, for gathering time series and/or the spatial sequence of individual health data; Memory module, for storing time series and/or the spatial sequence of individual health data; Processing module, is connected with acquisition module and memory module respectively, for the treatment of time series and/or the spatial sequence of individual health data; Comparing module, is connected with processing module, for comparing algorithm operating export comparison result to the time series of two or more sets individual health data and/or spatial sequence.Wherein, comparing module can be image analysis module, time as being applied in the operation of electrocardiogram alignment algorithm, exports comparison result according to the result of two width or several electrocardiogram graphical analyses; Comparing module also can be by comparator circuit voltage comparing module, and during as being applied in the statistics of heart rate data, statistical result numerical value corresponds to the voltage of feature, and the alignment algorithm according to different magnitude of voltage operate, output comparison result.
Preferably, described acquisition module is ECG detecting sensor, X-ray image checking sensor, infrared or terahertz imaging detecting sensor, NMR (Nuclear Magnetic Resonance)-imaging detecting sensor, ultra sonic imaging detecting sensor or biochemistry detection sensor.Obvious, health monitoring data are not limited in above-mentioned data, also can be other health datas.
Preferably, it also comprises display module, control module and communication module, and described display module, control module are all connected with processing module with communication module.In this embodiment, described display module is LCDs, and control module is button or touch screen, and communication module is bluetooth communication or WIFI communication module (obvious, also can be the communication module of wire communication module or other communication mode).
The concrete principle of a kind of intelligent health of the present invention supervising device and workflow correspond to a kind of intelligent health method for supervising, do not do tired stating at this.A kind of intelligent health supervising device of the present invention is first by the collection to the time series of the individual health data of guardianship different time and/or spatial sequence, comparison and analysis, realize the time series of individual health data and/or the dynamic comparison of spatial sequence, improve the motility of monitoring; Secondly, because template data of the present invention dynamically can set according to different guardianship or different time, the referential of comparing is stronger, thus improves precision of analysis; Again, the present invention, can the change of health status of directly perceived, clear, comprehensive reflection guardianship by operating the alignment algorithm of guardianship different time some groups of data.In addition, user is facilitated directly to observe by arranging display module; User is facilitated directly to control by arranging control module.
The present invention can be applicable to various health monitoring system.
A kind of intelligent health monitoring system, it comprises intelligent health supervising device and Surveillance center, and described intelligent health supervising device is connected with Surveillance center by wired or wireless communication mode.Obvious, Surveillance center can be arranged on community health center, also can be arranged on family; The Surveillance center that can be made up of multiple server also can be PC or mobile phone etc.
The concrete principle of a kind of intelligent health of the present invention monitoring system and workflow correspond to a kind of intelligent health method for supervising, do not do tired stating at this.A kind of intelligent health monitoring system of the present invention is first by the collection to the time series of the individual health data of guardianship different time and/or spatial sequence, comparison and analysis, realize the time series of individual health data and/or the dynamic comparison of spatial sequence, improve the motility of monitoring; Secondly, because template data of the present invention dynamically can set according to different guardianship or different time, the referential of comparing is stronger, thus improves precision of analysis; Again, the present invention, can the change of health status of directly perceived, clear, comprehensive reflection guardianship by operating the alignment algorithm of guardianship different time some groups of data.
In addition, the present invention is by arranging Surveillance center, and the networking of the time series and/or spatial sequence that realize individual health data is shared, and makes associated terminal can know the health status of guardianship in time.
The present invention can be applicable to various health monitoring system.
More than that better enforcement of the present invention is illustrated, but the invention is not limited to described embodiment, those of ordinary skill in the art also can make all equivalent variations or replacement under the prerequisite without prejudice to spirit of the present invention, and these equivalent distortion or replacement are all included in the application's claim limited range.
Claims (10)
1. an intelligent health method for supervising, is characterized in that, it comprises step:
S10, gathers and stores time series and/or the spatial sequence of personal health template data;
S20, gathers time series and/or the spatial sequence of personal health current data;
S30, algorithm operating of the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence being compared, exports comparison result.
2. a kind of intelligent health method for supervising according to claim 1, it is characterized in that, described step S10 also comprises sub-step:
S11, gathers and stores time series and/or the spatial sequence of organizing individual health data more;
S12, is set as time series and/or the spatial sequence of personal health template data by the time series of any one group of individual health data and/or spatial sequence.
3. a kind of intelligent health method for supervising according to claim 2, is characterized in that, the time series of described personal health current data and/or spatial sequence are time series and/or the spatial sequence of the individual health data of any instant collection or storage.
4. a kind of intelligent health method for supervising according to claim 3, it is characterized in that, described step S30 also comprises sub-step:
S31, algorithm operating of the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence being compared, exports comparison result to Surveillance center;
Or
S32, outputs to Surveillance center and to compare algorithm operating by the time series of the time series of personal health current data and/or spatial sequence and personal health template data and/or spatial sequence;
Or
S33, outputs to Surveillance center by the time series of personal health current data and/or spatial sequence, to compare algorithm operating with the time series of personal health template data and/or spatial sequence that are stored in Surveillance center.
5. a kind of intelligent health method for supervising according to Claims 1-4 any one, it is characterized in that, it also comprises step:
S40, setting personal health early warning classification, judges according to comparison result analysis and generates early warning information to export.
6. a kind of intelligent health method for supervising according to claim 5, it is characterized in that, described data are ECG detecting data, X-ray imaged detected data, infrared or terahertz imaging detection data, NMR (Nuclear Magnetic Resonance)-imaging detection data, ultra sonic imaging detection data or biochemistry detection data set.
7. an intelligent health supervising device, is characterized in that, it is for implementing a kind of intelligent health method for supervising as described in any one of claim 1 to 6, and it comprises:
Acquisition module, for gathering time series and/or the spatial sequence of individual health data;
Memory module, for storing time series and/or the spatial sequence of individual health data;
Processing module, is connected with acquisition module and memory module respectively, for the treatment of time series and/or the spatial sequence of individual health data;
Comparing module, is connected with processing module, for comparing algorithm operating export comparison result to the time series of two or more sets individual health data and/or spatial sequence.
8. a kind of intelligent health supervising device according to claim 7, it is characterized in that, described acquisition module is ECG detecting sensor, X-ray image checking sensor, infrared or terahertz imaging detecting sensor, NMR (Nuclear Magnetic Resonance)-imaging detecting sensor, ultra sonic imaging detecting sensor or biochemistry detection sensor.
9. a kind of intelligent health supervising device according to claim 7 or 8, it is characterized in that, it also comprises display module, control module and communication module, and described display module, control module are all connected with processing module with communication module.
10. an intelligent health monitoring system, it is characterized in that, it comprises one or more intelligent health supervising device as described in any one of claim 7 to 9 and Surveillance center, and described intelligent health supervising device is connected with Surveillance center by wired or wireless communication mode.
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| CN106407732A (en) * | 2016-12-09 | 2017-02-15 | 珠海安润普科技有限公司 | Method, device and system for identifying states of target object and intelligent clothes |
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